364 AI Voice jobs in Canada

Machine Learning Team Lead - Artificial Intelligence Group
Location
Toronto
Business Area
Engineering and CTO
Ref #

**Description & Requirements**
Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency, efficiency, and fairness to markets. The Bloomberg Terminal connects influential communities across the global financial ecosystem via reliable technology that enables our customers to make informed decisions and foster collaboration.
For over a decade, Bloomberg has been a trailblazer in financial applications of AI, machine learning, and natural language processing (NLP). The Artificial Intelligence group is responsible for driving adoption of these technologies at Bloomberg, with over 300 research engineers working collaboratively to provide clients with the best-in-class news, research, market data, and analytics.
The AI group contributes to Bloomberg's flagship products such as news, research, pricing, communications platforms, search and discovery tools. We work on a variety of AI subfields, including NLP, information retrieval, time series analysis, and recommender systems.
We are looking for Machine Learning Team Leads in Toronto, who will guide and support teams of research engineers and software developers working on initiatives in query understanding and code generation. In this capacity, you will provide technical leadership, mentor team members, and manage projects from end-to-end. You will work hand-in-hand with key stakeholders across the business, and partner closely with Product, Data and our broader Code Generation organisation in NYC, to align technical objectives with business needs, drive innovative applications of cutting-edge GenAI techniques, and ensure the successful deployment of state-of-the-art models tailored for financial code generation tasks.
**What's In it for you:**
We are seeking a highly skilled and motivated Machine Learning Engineering Team Lead who will be responsible for leading a team of ML engineers that are driving applied research in ML/NLP and bringing innovative solutions to data-driven customer-facing products. You will lead the development and application of the state-of-the art machine learning models including leveraging cutting-edge NLP techniques such as Large Language Models (LLMs).
You will be collaborating with subject matter experts to gain valuable insights and use their domain expertise to guide building high quality machine learning models. You will closely be working with product owners, our domain experts, data engineers and front-end engineers to build and integrate ML solutions to our product.
**We'll trust you to:**
+ Participate in the development process of ML based financial products as a technical leader
+ Collaborate with colleagues on production machine-learning systems and applications
+ Design, experiment, and evaluate software systems
+ Write, test, and maintain production-quality code
+ Represent Bloomberg at conferences and open-source communities
+ Demonstrate technical leadership by owning cross-team projects
+ Build the libraries and frameworks that support fault tolerant and testable systems
**You'll need to have:**
+ Extensive experience building and deploying Machine Learning models to production
+ Extensive experience in software engineering
+ Previous experience in leadership, managing and coaching globally distributed teams and influencing third party technology strategy
+ A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
+ Ability to effectively communicate, challenge and influence team members, peers, and stakeholders
+ History of successfully delivering on key initiatives and driving long-term strategic technology plans
**We'd love to see:**
+ Demonstrated experience of building a suite of applications with extensibility in mind
+ Previous experience in a team leader capacity
+ An understanding and appreciation for agile development practices
+ Financial domain knowledge and experience (not required)
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

**Work Location:**
Toronto, Ontario, Canada
**Hours:**
37.5
**Line of Business:**
Analytics, Insights, & Artificial Intelligence
**Pay Details:**
$120,000 - $250,000 CAD
The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
**Job Description:**
**We are currently seeking talented individuals for a variety of positions, ranging from junior to senior levels, and will evaluate your application in its entirety.**
Layer 6 is the AI center of excellence for TD Bank Group. We develop and deploy industry-leading machine learning systems that impact the lives of over 27 million customers, helping more people achieve their financial goals and needs.
Our work spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial datasets and actively collaborate with world renowned academic faculty. We are driven to be at the cutting edge of machine learning in research, engineering, and impactful applications.
We are looking for world-class engineers to tackle cutting-edge problems in Machine Learning applied to the real world. Work with large-scale, real-world datasets spanning multiple modalities, ranging from banking transactions, conversation transcripts to large document collections.
As a Machine Learning Engineer, you will:
+ Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge
+ Architect scalable machine learning and Gen AI systems that integrate with existing data platform and infrastructure, focusing on automation, operation efficiency, and reliability
+ Write clean, efficient, and maintainable code for ML models to ensure efficient deployment of scalable AI application
+ Work with large-scale, real-world datasets that range from banking transactions, conversation histories, to large document collections
+ Grow by continuously learning new skills and exploring advanced topics in AI with a team that thrives on knowledge-sharing
**Required Qualifications:**
+ Master or bachelor's degree in computer science, Statistics, Mathematics, Engineering or a related field
+ 3+ years of developer experience shipping code in production settings
+ Strong background in machine learning and deep learning
+ Strong coding proficiency in Python, Java, C, or C++ You value good software design and sweat over details in code and API design
+ You take great personal pride in building robust and scalable software
+ You are highly accountable and have a strong sense of ownership
+ You strive to communicate clearly and with empathy
**Preferred Qualifications:**
+ Research experience with publication record
+ Experience with LangGraph, Pytorch, Tensorflow, Jax, or comparable library
+ Experience with building and scaling data-intensive software
+ Experience using GPUs for accelerated deep learning training
**Who We Are:**
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you.
**Our Total Rewards Package**
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more ( Information:**
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.
Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.
**Colleague Development**
If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals.
**Training & Onboarding**
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.
**Interview Process**
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
**Accommodation**
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!
**Language Requirement (Quebec only):**
Sans Objet
Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.

Job Description

Job Description

Was wir bieten:

Bei Magna erwartet dich ein spannendes und dynamisches Arbeitsumfeld, in dem du dazu beitragen kannst, marktfhrende Automobiltechnologien zu entwickeln. Wir investieren in unser Personal und bieten ihm die Untersttzung und Ressourcen, die es bentigt, um erfolgreich zu sein. Als Mitglied unseres globalen Teams erwarten dich aufregende und vielfltige Aufgaben sowie ein breites Spektrum an Entwicklungsmglichkeiten. Wir sind nmlich der Meinung, dass dein Karrierepfad genauso individuell sein sollte wie du selbst.

Job descriptions may display in multiple languages based on your language selection.

What we offer:

At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

Group Summary:

Cosma provides a comprehensive range of body, chassis and engineering solutions to global customers. Through our robust product engineering, outstanding tooling capabilities and diverse process expertise, we continue to bring lightweight and innovative products to market.

Job Responsibilities:

POSITION SUMMARY:

The Machine Learning Engineer will play a pivotal role in driving innovation and operational efficiency through data-driven solutions leveraging machine learning and artificial intelligence. You will be responsible for designing, developing, and deploying machine learning models that enhance product quality, optimize supply chain logistics, improve predictive maintenance, and support intelligent manufacturing processes. Working closely with cross-functional teams including engineering, IT, and operations, you will leverage large-scale data from manufacturing systems, sensors, and enterprise platforms to build scalable ML solutions. Your work will directly contribute to smarter decision-making, reduced downtime and improving quality.

JOB-SPECIFIC RESPONSIBILITIES:

• Execute ML / AI projects related to but not limited to the following
  • Advanced Vision Systems
  • Advanced autonomous part picking
  • Equipment performance machine learning and predictive maintenance
  • OEE Improvements
  • Cycle Time Improvements
• Research and benchmark of new / existing smart factory ML solutions measures at other Magna plants or suppliers
• Identify how technical solutions apply to operational and business needs
• Understands and uses computer science fundamentals, including data structures, algorithms, computability, complexity, and computer architectures.
• Uses exceptional mathematical skills, to perform computations and work with the algorithms involved in AI and Machine learning.
• Build algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production.
• Analyze large, complex datasets to extract insights and decide on the appropriate technique
• Develop and manage cloud-based computing and data management.
• Understand and work within KPIs, metrics, and other monitoring tools to monitor the operational performance of our factories
• Develop from-end UI's
• Report out to Karmax and Magna group level leadership on smart factory solutions initiatives, explaining technical concepts and analysis implications clearly to a wide audience
• Collaborate closely with IT, operations and engineering to reach operational excellence
• Manage suppliers and vendors and develop / control project deliverables.
• Deal with vendors - Excellent verbal and written communication skills are required.
• Collaborate other Machine learning Engineers within Magna as well as with your Regional Smart Factory Solutions lead
• Support colleagues in sourcing equipment and technology that improves Karmax's smart factory solutions performance

GENERAL RESPONSIBILITIES:

• Exceptional organizational, leadership, interpersonal and problem solving skills.
• Excellent written, verbal communication and presentation skills
• Proficient with Microsoft Office (Excel, Word, PowerPoint, MS Project and Outlook).
• Excellent mathematical, analytical and organizational skills
• Advanced capability in multiple computer programming languages, i.e. TypeScript, Rust, Python, C++ and/or Java
• Machine Learning and AI modelling
• Experience with the MQTT protocol
• Solid understanding of IT and OT networks i.e. EthernetIP, ProfiNet, IO Link
• Strong experience with relational databases, i.e. SQL Server, MySQL and Oracle. NoSQL databases experience is a plus.
• In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework.
• Knowledge of common manufacturing systems (ERP, MES, QMS)
• Familiarity with BI technologies, i.e. Grafana, Microsoft Power BI, AWS Quicksight, Qlikview
• Prioritize multiple deadlines and tasks.
• Results oriented

MINIMUM JOB REQUIREMENTS:

• University Degree in Computer Science, or related field of study which includes Ai and Machine Learning
• Minimum 3 years related work experience in with minimum 2 years in an Engineering Role.
• Experience withing the field of manufacturing
• Proven capability and a sound understanding of engineering principles as applied to the following areas:
  • Machine Learning and AI
  • Advanced capability in multiple computer programming languages
  • Strong experience with relational databases

COMPENSATION PACKAGE AND PERQUISITES:

• Salary starting at $89,398.40

• 2 Weeks Vacation after 6 months of employment, 4 Personal Paid Holidays and 2 Floater Days
• Comprehensive Health Benefits - Including health, dental, vision, and disability coverage to keep you feeling your best
• Company-matched retirement savings plans (RRSP)
• On-site subsidized cafeteria that is open for all three shifts

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

Worker Type:

Regular / Permanent

Group:

Cosma International

Job Description

Job Description

Description

Hi, I am Gabe the Director of Machine Learning and AI at Musora Media Inc.

Imagine using AI to spark creativity, remove barriers, and empower musicians around the world to learn and grow. We’re seeking an ML/AI Engineer with both technical skill and vision to help us create personalized learning tools, automate workflows, and explore groundbreaking ways AI can transform the music learning experience.

Important Notes:

•  To ensure you’re viewing the most accurate and up-to-date job opportunities, please apply directly through our official website or through our trusted third-party sites (Indeed, Monster, Glassdoor, LinkedIn, Talent.com & Ziprecruiter). 
• Most new team members typically join in the lower to mid-point of the salary range. We’re committed to fair and equitable compensation and regularly review salaries to ensure they reflect both market conditions and individual growth within the role.

Key Duties & Responsibilities

Model Development & Deployment

• Design, train, and evaluate machine learning models for a variety of applications, with a focus on recommendation systems and deep learning architectures.
• Package models for deployment using scalable, reproducible, and maintainable practices (e.g., ML pipelines, containerization).
• Leverage frameworks such as PyTorch, TensorFlow, and scikit-learn to build performant solutions.
• Collaborate with product teams to translate business goals into machine learning solutions.

ML Ops and Infrastructure

• Develop and maintain CI/CD pipelines for ML models, including monitoring, versioning, and rollback strategies.
• Use cloud platforms (AWS, GCP, Azure) to build and scale ML infrastructure.
• Integrate models into production services and monitor real-world performance, reliability, and drift.

Data Engineering and Experimentation

• Collaborate with data engineers to access, clean, and transform data for ML use cases.
• Design and implement A/B tests and other evaluation strategies to measure model impact.
• Contribute to internal tooling for reproducibility, tracking, and experiment management.

Collaboration and Continuous Learning

• Work cross-functionally with product managers, designers, analysts, and software engineers to deliver data-driven features and products.
• Stay current with advancements in ML and AI, bringing innovative ideas and techniques to the team.
• Participate in peer reviews, knowledge-sharing sessions, and planning meetings.

Bonus if:

• You have experience with music production, music education or performance.

Skills, Knowledge and Expertise

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• 3+ years of experience in AI/ML engineering, with a strong understanding of deep learning frameworks (TensorFlow, PyTorch, etc.).
• Proficiency in Python and experience with data processing, training, and deploying models.
• Hands-on experience with LLMs, recommendation systems, or speech/audio processing.
• Strong problem-solving skills and ability to work cross-functionally with product and creative teams.
• Experience deploying AI models into production (cloud services such as AWS, GCP, or Azure).
• Proficiency in the English language (written and verbal) 
• Ability to exhibit the Company's Core Values: Empathy, Passion, and Grit (see full description).

Perks to working here (your benefits)

• Extended Benefits . Health, Prescriptions, Dental, Mental Health Support and Vision Benefits for full-time/permanent positions - we care about our employees and we want to make sure YOU have the benefits you need to stay healthy and well.
• Paid time off - we understand and value the importance of rest and recovery and that includes time away from work! 
• Career Growth. You’re joining a growing team and company with ambitious goals. 
• Learning & Development. We encourage our team to develop their unique strengths, offering Gallup-Clifton Strengths coaching and workshops, along with tailored education opportunities. 
• Onsite Amenities and Events . Onsite parking, on-site gym, and events! Be a part of a fun-loving team!
• Onsite SNACKS & Meals , lunch program, beer/kombucha fridge, coffee/tea and more! We want to make sure you stay fuelled throughout the day! 
• Casual dress . We want you to feel comfortable when you work. No need to wear a business suit (unless you want to).
• Hybrid options . Work on-site at our Abbotsford, BC, Canada head office, or in a hybrid arrangement (role-dependent). Hybrid roles require a regular weekly presence in the office.

Job Description

Job Description

We are an innovative, Vancouver-based startup at the forefront of robotics, AI, and machine vision technologies. Backed by VC funding and we've been recognized with the 2025 Frost & Sullivan Technology Innovation Leadership Award, the AAM Supplier Excellence Innovation Award, and the 2024 BC Tech "Company of the Year – Growth", we are on a mission to redefine the future of AI-driven robotic vision systems. Apera AI helps manufacturers make their factories more flexible and productive. Robots enhanced with Apera's software have 4D Vision – the ability to see and handle objects with human-like capability. Challenging applications such as bin picking, sorting, packaging, and assembly are now open to fast, precise, and reliable automation. Apera is led by an experienced team from high-growth companies focused on robotics, artificial intelligence, and advanced manufacturing.

Apera AI is hiring a Machine Learning Engineer to build and improve the tools, infrastructure, and pipelines that power our AI model training. This role focuses on enhancing the synthetic data pipeline, automating training evaluations, and developing systems that connect data quality to model performance. You will work closely with technical artists, applied scientists, and simulation developers to deliver scalable, production-grade systems for robust AI deployment.

Employee Value Proposition (EVP)

Purpose
Your work will determine how reliably and accurately our AI models perform in real-world industrial environments. By improving the data they learn from, you will directly influence the precision, speed, and robustness of robotic systems operating on factory floors.

Growth
You will develop deep technical skills across computer vision, machine learning, simulation, and experimentation. You will gain experience connecting training data to model outcomes, applying state-of-the-art techniques, and improving models through systematic iteration and analysis.

Motivators
You will take full ownership of the connection between synthetic data and model performance. Your ideas, experiments, and tools will define how we train production-grade AI models and how we scale to new use cases with confidence and reliability.

Major Objectives

Identify and Advance Opportunities in the Data Generation Pipeline
You will identify opportunities to improve the synthetic data pipeline and deliver a meaningful enhancement that increases dataset quality, control, or scalability. Your contribution will reflect your ability to assess what's missing and act decisively to improve it.

Design, Test, and Validate New Data-Centric ML Techniques
You will propose and implement new data-generation or augmentation techniques based on your own assessment of model bottlenecks, training patterns, or failure modes. You will validate effectiveness through structured training experiments and benchmark results against existing approaches. Your work will contribute a measurable advancement to how Apera trains accurate, generalizable AI models.

Collaborate Across Disciplines to Deliver Data-Driven Improvements
Partner with ML scientists and technical artists to translate visual intuition and ML needs into robust software. Identify gaps in configuration, data realism, and augmentation strategy that impact performance. Ultimately you will deliver generalized improvements to Apera's vision model training process.

Critical Subtasks

• Design and implement tooling to configure and control synthetic data generation at scale.
• Design new data generation strategies that introduce variation, realism, or structure to improve model generalization.
• Run targeted training experiments to measure the impact of your data approaches and guide future improvements.
• Build internal tools that expose dataset properties, track changes, and help others reason about training inputs.

Culture and Situation Fit

At Apera AI, we value initiative, clarity, and technical depth. This role is for someone who sees data as a core design space in machine learning—not just an input but a lever to drive performance. You'll thrive here if you take ownership of the problems you see, enjoy collaborating across disciplines, and are excited to push the boundaries of how real-world AI systems are trained and deployed.

Required Qualifications

• Degree in computer science, engineering, applied mathematics, or a related technical field, or equivalent industry experience building ML systems.
• 5 years post grad experience
• Strong experience writing and maintaining production-quality code
• Strong proficiency in Python and experience with machine learning frameworks such as PyTorch or TensorFlow.
• Solid understanding of ML training workflows, including dataset preparation, model evaluation, and performance diagnostics.
• Experience with synthetic data generation, simulation tools, or 3D rendering environments such as Blender or Unity.

Bonus Experience

• Ability to design, execute, and interpret training experiments to evaluate the impact of data and augmentation strategies.
• Comfortable working in Linux-based development environments and with Docker-based workflows.
• Experience with domain randomization, synthetic-to-real transfer, or sim-to-real techniques in robotics or computer vision.
• Background in computer vision tasks such as object detection, segmentation, or 6-DoF pose estimation.
• Experience working with cloud-based ML infrastructure.

Why Join Us?

People are our greatest strength. They are friendly, smart, and driven to build amazing products; we tackle challenges as a team, we are close-knit and scrappy. We also offer competitive total compensation, health benefits, and vacation. Our teams are motivated, talented, hardworking, and have an entrepreneurial spirit. We enjoy making large impact, solving challenging problems rooted in real-world physics using science, imagination, creativity, and persistence.

What do we offer?

1. A chance to make a difference. People are our greatest strength they are friendly, smart, and driven to build amazing products; we tackle challenges as a team, we are close-knit and scrappy. Our teams are motivated, talented, hardworking and have both an intrapreneurial and entrepreneurial spirit. We enjoy making a large impact, solving challenging problems rooted in real-world robotic vision optimization using science, imagination, creativity, and persistence.
   
   
2. Build your skills. Build your career. We don't just promise opportunities. We back them with personalized development plans, annual learning budgets, regular individual and team upskilling, and time dedicated to innovation. Come for the mission, stay to master it.
   
   
3. Equity That Empowers: A Rare Opportunity to Own What You Help Build. At Apera AI, equity isn't just a benefit—it's a belief system grounded in fairness, unity, and shared success. Every Aperian receives a meaningful ownership stake from day one, because those creating value should share in the rewards. While traditional companies reserve equity for a privileged few, we extend it to all employees. We've already gained considerable traction in transforming how manufacturers use AI and robotics. Join a mission-driven team where your ideas matter, your work shapes industries, and your ownership grows with every win. This is your invitation to be part of something rare: a company that shares both purpose and upside.
   
   
4. Straightforward compensation. At Apera AI, we believe that transparency and fairness are key to building a thriving team. For this Machine Learning Engineer role, we offer a competitive base salary range of $100,000 to $130,000 CAD per year.

This range reflects the base salary for a highly qualified candidate. The final offer will depend on a range of factors including your unique skills, experience, contributions to team diversity, and the value you bring to our vision of transforming industrial automation with AI-powered vision systems.

Job Description

Job Description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

Are you a Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI? We are looking for two talented professionals to join our team in a fully remote, onshore capacity. If you thrive in building and deploying scalable AI solutions, this role is for you!

What You'll Do:

• Collaborate with cross-functional teams to design and deploy ML models.
  
• Develop reusable, scalable code for AI/ML applications.
  
• Leverage GCP services to build end-to-end machine learning pipelines.
  
• Optimize models for performance and scalability using Vertex AI.

Requirements

Key Requirements:

• Google Cloud Platform (GCP) Experience: Strong proficiency in GCP services, including data engineering and machine learning tools.
  
• Google Vertex AI Expertise: Hands-on experience with model training, deployment, and optimization using Vertex AI.
  
• Model Development & Deployment: Proven ability to design, build, and productionize machine learning models.
  
• API Development: Skilled in developing robust APIs for seamless integrations.
  
• Python Programming with CI/CD: Experience in Python-based applications and implementing CI/CD pipelines.
  

Why Join Us?

• Work remotely while contributing to cutting-edge projects.
  
• Collaborate with a dynamic team passionate about AI/ML innovation.
  
• Opportunity to work with the latest Google Cloud technologies.
  

Ready to take the next step? Apply now and be part of a team that’s shaping the future of AI!

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Job Description

Job Description

Salary:

"I'm incredibly excited to welcome a new Machine Learning Engineer to our team! This role is perfect for someone passionate about diving deep into system architecture and large-scale, GPU-enabled high-performance computing clusters, optimizing AI workflows, and shaping the future of our infrastructure. We're looking for a collaborative individual who thrives on both technical excellence and guiding others, ultimately making a significant impact on our research productivity and the advancement of state-of-the-art AI models. I can't wait to see the innovative solutions you'll bring to Amii!"

Greg Burlet, Director of Engineering

About Amii

Alberta Machine Intelligence Institute (Amii) is one of Canadas three main institutes for artificial intelligence (AI) and machine learning, our world-renowned researchers drive fundamental and applied research at the University of Alberta (and other academic institutions), training some of the worlds top scientific talent. Our cross-functional teams work collaboratively with Alberta-based businesses and organizations to build AI capacity and translate scientific advancement into industry adoption and economic impact.

About the Role

The Machine Learning (ML) Engineer plays a key role in ensuring machine learning research and applied AI projects operate securely and effectively. As a key member of the team, the ML Engineer will collaborate with senior engineering leaders to deploy and manage computing infrastructure, optimize AI workflows, develop training materials, and contribute to the technical development of both individuals and the organization.

The ML Engineer will work with cross-functional teams and external partners to support the execution of research and applied projects. Specifically, this engineer will focus on implementing and managing the software stack of High-Performance Computing (HPC) systems and pipelines, ensuring efficient and effective allocation and utilization of compute resources such as GPUs, and providing support for users of these systems. This role is critical to advancing research productivity and enabling state-of-the-art machine learning models.

In addition to hands-on technical work, the ML Engineer will contribute to the strategic planning of our infrastructure, working alongside the Director, Engineering, and the Director, IT to develop strategies, playbooks, and best practices for optimizing our tools, frameworks, and services.

The role focuses on achieving excellence in three main accountabilities:

• Infrastructure and Systems Management
• AI Workflow Optimization
• Technical Coaching and Collaboration

Required Skills / Expertise

Key Responsibilities:

• Assists in the design, implementation, and management of High-Performance Computing (HPC) clusters to support AI research in machine learning (ML) and reinforcement learning (RL)
• Identifies and resolves end-user queries related to AI workflows, providing configuration support for software coding issues and infrastructure setups
• Oversees computing resources in the cloud or on premises to ensure secure and efficient operations, with a focus on optimizing resource utilization and availability for AI workflows
• Provides support by diagnosing and resolving technical issues, performing routine system maintenance, and enhancing the performance of supporting infrastructures
• Assists in the development and refinement of playbooks and strategies to maximize the use of tools, infrastructure, libraries, and frameworks
• Collaborates with university system administrators, AI researchers, and support staff to facilitate the integration and operation of AI/ML systems
• Leverages strong knowledge of Linux-based systems (e.g. Red Hat, CentOS, Ubuntu), proficiency in scripting languages (e.g. Bash, Python), Infrastructure as Code (e.g. terraform, ansible), container and orchestration systems (e.g., Docker, Kubernetes), and github workflows to automate tasks and optimize infrastructure performance
• Establishes monitoring and logging systems to track infrastructure performance, proactively detect anomalies, and ensure real-time alerts for system integrity and uptime
• Implements and maintains automated AI pipelines to streamline model development and ensure effective use of computational resources
• Monitors, assesses and analyzes data from ML projects to ensure effective model performance and project outcomes
• Utilizes strong analytical skills to visualize data, analyze statistical trends, and assess the effectiveness of AI software outputs
• Applies hands-on experience with AI tools and frameworks (e.g. TensorFlow, PyTorch, Keras) to support deep learning initiatives
• Installs, configures, and diagnoses software applications for machine learning algorithms and GPU-based computing to ensure seamless operation
• Participates in training, code reviews, and coaching to enhance team members' technical capabilities
• Designs and delivers technical training on AI/ML workflows, guiding researchers on how to optimize their workflows and make the most of available infrastructure resources
• Partners with the Director, Engineering and external partners (e.g. academic institutions and industry partners) to support ML projects

Qualifications:

• Post Secondary Degree in Computer Science, Information Technology, Data Science, or a related field
• Advanced Degrees or Certifications in High-Performance Computing (HPC), Computer Science, ML/AI or Cloud Infrastructure (nice to have)
• 3+ years of experience in systems architecture: DevOps / MLOps and multi-node compute clusters including networking, IaC (terraform, ansible), CI/CD pipelines, VMs and hypervisors (proxmox), linux, node provisioning (warewulf), containers and container orchestration (docker, kubernetes), logging stacks (ELK), and job schedulers (slurm)
• 5+ years of experience in Python programming with application to ML/RL (PyTorch, TensorFlow, distributed training with DDP or FSDP), systems administration, or software development roles in UNIX/Linux or large-scale HPC environments (experience working with GPUs preferred), as well as associated cloud computing platforms
• Knowledge and experience training reinforcement learning models nice to have
• Source Code Analysis: Proficiency in analyzing the source code of AI-based software
• Experience in academic or industry research environments
• Experience with optimizing large-scale AI models for resource efficiency

Attributes and Expectations:

• Advanced critical thinking and problem-solving skills
• Strong interpersonal communication skills for effective collaboration with internal teams and external stakeholders. Operates with integrity and trust
• Passion for designing effective learning exercises, technical concept illustrations, training, and evaluation tools
• Ability to manage multiple competing priorities in a fast-paced environment
• Demonstrates professional maturity, resourcefulness, and self-discipline in pursuing organizational goals
• A curious mindset with a keen interest in testing new educational tools and technologies
• Shows presence, self-confidence, sound judgment, and superior problem-solving abilities
• Fosters high-level cross-functional collaboration and establishes credibility while influencing peers to achieve common goals

What you'll love about us

• A professional yet casual work environment that encourages the growth and development of your skills.
• Participate in professional development activities
• Gain access to the Amii community and events
• A chance to learn from amazing teammates who support one another to succeed.
• Competitive compensation, including paid time off and flexible health benefits.
• A modern office located in downtown Edmonton, Alberta.

How to Apply

Were excited to add a new member to the Amii team for this role! We are keeping the door open to new applicants until we find the right fit. When sending your application, please send your resume and cover letter indicating why you think you'd be a fit for Amii. In your cover letter, please include one professional accomplishment you are most proud of and why.

Applicants must be legally eligible to work in Canada at the time of application.

Amii is an equal opportunity employer and values a diverse workforce. We encourage applications from all qualified individuals without regard to ethnicity, religion, gender identity, sexual orientation, age or disability. Accommodations for disability-related needs throughout the recruitment and selection process are available upon request. Any information provided by you for accommodations will be kept confidential and wont be used in the selection process.

Job Description

Job Description

Multiverse Computing

Multiverse is a well-funded, fast-growing deep-tech company founded in 2019. We are the largest quantum software company in the EU and have been recognized by CB Insights (2023 and 2025) as one of the 100 most promising AI companies in the world.
With 180+ employees and growing, our team is fully multicultural and international. We deliver hyper-efficient software for companies seeking a competitive edge through quantum computing and artificial intelligence.
Our flagship products, CompactifAI and Singularity, address critical needs across various industries:

• CompactifAI is a groundbreaking compression tool for foundational AI models based on Tensor Networks. It enables the compression of large AI systems—such as language models—to make them significantly more efficient and portable.
• Singularity is a quantum- and quantum-inspired optimization platform used by blue-chip companies to solve complex problems in finance, energy, manufacturing, and beyond. It integrates seamlessly with existing systems and delivers immediate performance gains on classical and quantum hardware.

You’ll be working alongside world-leading experts to develop solutions that tackle real-world challenges. We’re looking for passionate individuals eager to grow in an ethics-driven environment that values sustainability and diversity.
We’re committed to building a truly inclusive culture—come and join us

As a Machine Learning Engineer, you will

• Design and develop new techniques to compress Large Language Models based on quantum-inspired technologies to solve challenging use cases in various domains.
• Conduct rigorous evaluations and benchmarks of model performance, identifying areas for improvement, and fine-tuning and optimising LLMs for enhanced accuracy, robustness, and efficiency.
• Build LLM based applications such as RAG and AI agents.
• Use your expertise to assess the strengths and weaknesses of models, propose enhancements, and develop novel solutions to improve performance and efficiency.
• Act as a domain expert in the field of LLMs, understanding domain-specific problems and identifying opportunities for quantum AI-driven innovation.
• Maintain comprehensive documentation of LLM development processes, experiments, and results.
• Share your knowledge and expertise with the team to foster a culture of continuous learning, guiding junior members of the team in their technical growth and helping them develop their skills in LLM development.
• Participate in code reviews and provide constructive feedback to team members.
• Stay up to date with the latest advancements and emerging trends in LLMs and recommend new tools and technologies as appropriate.

Required minimum Qualifications:

• Bachelor's, Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields.
• 2+ years of hands-on experience with deep learning models and neural networks, preferably working with Large Language models and Transformer
• Solid mathematical foundations and expertise in deep learning algorithms and neural networks, both training and inference.
• Excellent problem-solving, debugging, performance analysis, test design, and documentation skills.
• Strong understanding with the fundamentals of GPU architectures and and LLM hardware/ software infrastructures.
• Excellent programming skills in Python and experience with relevant libraries (PyTorch, HuggingFace, etc.).
• Experience with cloud platforms (ideally AWS), containerization technologies (Docker) and with deploying AI solutions in a cloud environment
• Excellent written and verbal communication skills, with the ability to work collaboratively in a fast-paced team environment and communicate complex ideas effectively.
• Previous research publications in deep learning or any tech field is a plus
  
• Fluent in English

Preferred Qualifications

• Experience running large-scale workloads in high-performance computing (HPC) clusters.
• Experience in DevOps/MLOps practices in deep learning product development.
• Experience in handling large datasets and ensuring data quality.
• Experience with inference and deployment environments (TensorRT, vLLM, etc.).
• Experience in accuracy evaluation of LLMs (OpenLLM Leaderboard).
• Experience building and evaluating RAG systems.
• Familiarity with AI ethics and responsible AI practices.

Location: Applicants must have legal authorization to work in the country where the position is based

Perks and benefits:

• Equal pay guaranteed.
• Private health insurance.
• Hybrid opportunity.
  
• Flexible working hours.
  
• Language classes and discounted lunch options
  
• Working in a high paced environment, working on cutting edge technologies.
  
• Career plan. Opportunity to learn and teach.
  
• Progressive Company. Happy people culture

As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.

Job Description

Job Description

Salary:

Come join Home Trust Company as a Machine Learning Engineerin our Data & Analytics team!

Home Trust Company has developed a track record of success as Canadas leading alternative lender, employing nearly 800 people in our Toronto headquarters and branches across the country. Building on the demonstrated strength of its core residential mortgage lending business, the Company also offers complementary lending services, as well as highly competitive deposit investment products, through Oaken Financial. Our culture has been shaped by the passion and integrity of our people. Home Trust is a private company.

FIRST THING WHAT YOU NEED TO SUCCEED?

We are looking for individuals who are dedicated, passionate, and driven to execute with excellence!

WE CARE ABOUT OUR EMPLOYEES WELL-BEING, WHAT WE OFFER:

• Base salary, with yearly incentive performance bonus

• Three (3) weeks of vacation, an additional six (6) flex days (sick or personal) in addition to statutory holidays

• Comprehensive benefit packages, offered through Manulife

• Group Retirement Savings Plan (GRSP) up to 8% contribution program & employer match

• $1000 Employee Referral Program

• Employee Discounts; phone plans, gym membership, Toronto Bike Share and many retailer discounts offered through WorkPerks

• Education Assistance program

ABOUT THE ROLE:

The Machine Learning Engineer role brings strong communication, analytic and technical skills. This role bridges the gap between data engineering and data science, requiring a deep knowledge of data processing, cloud platforms and machine learning technologies. The role encompasses both the development of machine learning models and the creation and maintenance of scalable data pipelines. Strong expertise in platforms such as Databricks, Azure, Python frameworks (Pandas, Numpy, etc.), Spark, is essential. Collaboration with data scientists, data engineers, data architects and software developers as well as business stakeholders is key to this role.

In addition:

• Design, develop and deploy machine learning models that address business challenges and add value to HTC objectives.
• Develop and maintain scalable data pipelines, ensuring data quality, reliability, and timeliness. Transform data into usable datasets for ML model development.
• Utilize platforms such as Databricks, Python, Azure for ML model development.
• Analyze large complex datasets to extract actionable insights and create innovative machine learning solutions.
• Refine and optimize existing ML and AI models and algorithms for performance and scalability.
• Monitor models for performance, accuracy and relevance.
• Collaborate with data scientists, software engineers, and other stakeholders to integrate machine learning solutions into production systems.
• Attend departmental meetings, learning events, participate in technical/professional activities as required.
• Create technical documentation for reference and reporting.
• Make sure models are free from biases and respect privacy and ethical guidelines.
• Perform research and development in latest trends in AI/ML, data science and data engineering to ensure companys and departments technological competitiveness.

WHAT WE REQUIRE:

• Authorized to work in Canada

• Great communication skills

• Bachelors or Masters degree in a STEM field (Computer Science, Engineering, Statistics, Mathematics, or a related field)

• 2+ years of experience in similar field
• Proven experience as a Machine Learning Engineer or a similar role (Data Engineering and/or data science). Proficiency in programming languages such as SQL, Python, Spark, R, SAS, etc.
• Solid understanding of machine learning frameworks (TensorFlow, PyTorch, or Keras).
• Experience with cloud platforms such as GCP, AWS, Azure. Experience with Big Data technologies such as Snowflake, Databricks, Hadoop, Spark, or similar.
  

PREREQUISITE: Maintain a positive supportive attitude, help to maintain an inclusive and supportive company culture!

Follow us on LinkedIn: Home Trust Company: My Company | LinkedIn