985 AI Programmer jobs in Canada

Job Description

Job Description

Software International (SI) supplies technical talent to a variety of clients ranging from Fortune 100/500/1000 companies to small and mid-sized organizations in Canada/US. We are currently hiring for a AI Developer - Remote for our global IT M&A client in the Toronto area.

Role: AI Developer - Agentic AI Application Development

Type: Fulltime, Perm

Salary Range: $100,000 - $130,000 as base depending on overall experience + bonus + vacation + benefits + other great company perks such as AI tooling and AI conference budget.

Location: Remote - Mississauga, ON, Canada

Remote within the United States or Canada (workday overlap from Pacific to Eastern time zones)

Role Overview

We are seeking a Senior Software Developer to help pioneer the next generation of agentic applications software systems that leverage autonomous agents, large language models, and adaptive workflows to augment and accelerate human decision-making. In this role, youll design, build, and scale intelligent services and applications that seamlessly blend traditional engineering practices with cutting-edge AI-driven automation.

Youll work in a small, high-impact team that values experimentation, rapid iteration, and quality engineering. This is a chance to shape how agentic applications are built, deployed, and adopted in real-world environments.

Key ResponsibilitiesAgentic Application Development

• Architect, build, and maintain applications that integrate autonomous agents and LLMs into end-to-end workflows.
• Design APIs, services, and event-driven components that allow agents to interact with systems, data, and users effectively.
• Ensure applications are resilient, secure, and adaptable in production environments.

AI-First Engineering

• Pilot and integrate agent frameworks, orchestration layers, and multi-agent systems.
• Automate repetitive tasks including code generation, testing, monitoring, and documentation.
• Continuously evaluate and incorporate emerging AI tooling.

Agentic Practices & Evangelism

• Define and codify best practices for designing, deploying, and monitoring agentic workflows.
• Coach peers on prompt engineering, guardrails, and safe deployment of autonomous agents.
• Establish patterns for observability, safety, and human-in-the-loop validation.

Technical Leadership

• Set high standards for design, code quality, and testing.
• Conduct architecture reviews and mentor other developers in building AI-powered systems.
• Stay current with research and industry trends in autonomous agents and applied LLMs.

Engineering Excellence

• Deliver high-quality applications with strong reliability, security, and performance.
• Optimize for scalability and cost efficiency in cloud-native environments.
• Own the lifecycle from prototyping to production deployment.

Minimum Qualifications

• 5+ years of experience building and shipping production software systems.
• Strong background in designing APIs, distributed systems, and event-driven architectures.
• Proficiency in at least one statically typed language (Go, Java, C#) and one scripting language (Python, TypeScript, Bash).
• Hands-on experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes).
• Demonstrated use of AI/LLM tooling in professional or side projects.
• Curiosity and creativity in exploring agentic workflows and autonomous development approaches.
• Strong communication skills and ability to collaborate across remote-first teams.

Preferred / Bonus Skills

• Experience with multi-agent frameworks, orchestration tools, or AI-powered application platforms.
• Knowledge of service-mesh, observability tooling, and policy-as-code.
• Familiarity with event-driven systems (Kafka, NATS) and domain-driven design.
• Exposure to safety, ethics, and compliance considerations in AI systems.

Work Environment & Benefits

• Remote-first with optional hub meet-ups; hardware & co-working stipend.
• Flexible core hours (overlap 9 a.m. 3 p.m. ET).
• Comprehensive health, dental, and vision coverage in Canada & the U.S.
• Generous vacation, paid learning days, and annual budget for conferences or AI tooling subscriptions.

Software International (SI) supplies technical talent to a variety of clients ranging from Fortune 100/500/1000 companies to small and mid-sized organizations in Canada/US. We are currently hiring for a AI Developer - Remote   for our global IT M&A client in the Toronto area.

Role:   AI Developer -  Agentic AI Application Development

Type: Fulltime, Perm

Salary Range: $100,000 - $130,000 as base depending on overall experience + bonus + vacation + benefits + other great company perks such as AI tooling and AI conference budget.  

Location: Remote - Mississauga, ON, Canada

Remote within the United States or Canada (workday overlap from Pacific to Eastern time zones)

Role Overview

We are seeking a Senior Software Developer to help pioneer the next generation of agentic applications software systems that leverage autonomous agents, large language models, and adaptive workflows to augment and accelerate human decision-making. In this role, youll design, build, and scale intelligent services and applications that seamlessly blend traditional engineering practices with cutting-edge AI-driven automation.

Youll work in a small, high-impact team that values experimentation, rapid iteration, and quality engineering. This is a chance to shape how agentic applications are built, deployed, and adopted in real-world environments.

Key Responsibilities Agentic Application Development

• Architect, build, and maintain applications that integrate autonomous agents and LLMs into end-to-end workflows.
• Design APIs, services, and event-driven components that allow agents to interact with systems, data, and users effectively.
• Ensure applications are resilient, secure, and adaptable in production environments.

AI-First Engineering

• Pilot and integrate agent frameworks, orchestration layers, and multi-agent systems.
• Automate repetitive tasks including code generation, testing, monitoring, and documentation.
• Continuously evaluate and incorporate emerging AI tooling.

Agentic Practices & Evangelism

• Define and codify best practices for designing, deploying, and monitoring agentic workflows.
• Coach peers on prompt engineering, guardrails, and safe deployment of autonomous agents.
• Establish patterns for observability, safety, and human-in-the-loop validation.

Technical Leadership

• Set high standards for design, code quality, and testing.
• Conduct architecture reviews and mentor other developers in building AI-powered systems.
• Stay current with research and industry trends in autonomous agents and applied LLMs.

Engineering Excellence

• Deliver high-quality applications with strong reliability, security, and performance.
• Optimize for scalability and cost efficiency in cloud-native environments.
• Own the lifecycle from prototyping to production deployment.

Minimum Qualifications

• 5+ years of experience building and shipping production software systems.
• Strong background in designing APIs, distributed systems, and event-driven architectures.
• Proficiency in at least one statically typed language (Go, Java, C#) and one scripting language (Python, TypeScript, Bash).
• Hands-on experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes).
• Demonstrated use of AI/LLM tooling in professional or side projects.
• Curiosity and creativity in exploring agentic workflows and autonomous development approaches.
• Strong communication skills and ability to collaborate across remote-first teams.

Preferred / Bonus Skills

• Experience with multi-agent frameworks, orchestration tools, or AI-powered application platforms.
• Knowledge of service-mesh, observability tooling, and policy-as-code.
• Familiarity with event-driven systems (Kafka, NATS) and domain-driven design.
• Exposure to safety, ethics, and compliance considerations in AI systems.

Work Environment & Benefits

• Remote-first with optional hub meet-ups; hardware & co-working stipend.
• Flexible core hours (overlap 9 a.m. 3 p.m. ET).
• Comprehensive health, dental, and vision coverage in Canada & the U.S.
• Generous vacation, paid learning days, and annual budget for conferences or AI tooling subscriptions.

Job Description

Job Description

We are seeking a Lead Agentic AI Developer to drive the development and deployment of our Agentic AI platform that combines AI workflow building, autonomous agents, and model-driven orchestration. This role requires a hands-on leader who can own the end-to-end lifecycle: architecture, design, development, deployment, and scaling of agentic AI capabilities.

Key Responsibilities

1. Development & Architecture

• Design and implement the agentic AI framework, including autonomous agents, multi-agent coordination, and workflow orchestration.
• Build and extend the AI workflow builder, enabling business users to visually create, chain, and deploy agent-driven processes.
• Integrate foundation models (LLMs, multimodal, domain-specific) into agentic workflows, ensuring secure and scalable execution.
• Develop APIs, connectors, and adapters for enterprise platforms (ERP, SAP, SaaS applications, etc.).

2. Deployment & Operations

• Lead deployment of agentic AI across cloud-native environments (AWS, Azure, GCP, BTP, on-premise).
• Implement monitoring, logging, and observability for agent performance and workflow health.
• Optimize model performance, fine-tuning, and retraining cycles.
• Ensure data security, governance, and compliance with enterprise standards.

3. Leadership & Innovation

• Take ownership as a technical lead driving architecture decisions and mentoring junior developers.
• Partner with product management to translate business requirements into AI-driven workflows.
• Stay ahead of emerging trends in agentic AI, Model Context Protocol (MCP), and AI orchestration frameworks.
• Drive innovation by experimenting with new AI models, techniques, and deployment strategies.

Required Skills & Qualifications

• 6+ years of software development experience, with at least 3+ years in AI/ML or agent-based systems.
• Proven experience with LLMs, AI orchestration frameworks, multi-agent systems, or workflow automation tools.
• Strong expertise in Python, Node.js, or Java, with experience in microservices and event-driven architectures.
• Hands-on deployment experience in cloud-native and containerized environments (Kubernetes, Docker).
• Familiarity with enterprise integration (APIs, ERP, workflow automation).
• Solid knowledge of AI model lifecycle management (training, fine-tuning, deployment, monitoring).
• Strong leadership and communication skills to guide technical teams and align with product vision.

Preferred (Nice to Have)

• Experience with SAP
• Familiarity with agent frameworks (LangChain, AutoGen, CrewAI, or custom).
• Background in enterprise SaaS product development.
• Contributions to open-source AI projects or research in agentic AI/AI workflows.

Acara Solutions is committed to ensuring equal employment opportunities for applicants and employees. We are committed to filling open positions using balanced selection criteria to avoid unlawful discrimination against applicants on the basis of their age, colour, disability, marital status, national origin, gender, gender identity, genetic information, race or racial origin, religion, sexual orientation, or any other status protected or required by law.

Acara Solutions welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates participating in all aspects of the selection process.

Job Description

Job Description

Software International (SI) supplies technical talent to a variety of clients ranging from Fortune 100/500/1000 companies to small and mid-sized organizations in Canada/US. We are currently hiring for a AI Developer - AI Experimentation & Prototyping - Remote
for our global IT SaaS client in the Toronto area.

Role: AI Developer - AI Experimentation & Prototyping - Remote

Type: Fulltime, Perm

Salary Range: $100,000 - $140,000 as base depending on overall experience + bonus + benefits + other great company perks such as AI tooling and AI conference budget

Location: Remote - Mississauga, ON, Canada

Remote within the United States or Canada (workday overlap from Pacific to Eastern time zones)

Role Overview

Were looking for a hands-on innovator who thrives at the cutting edge of whats possible with agentic AI systems . In this role, you will design and deliver experimental proof-of-concept projects ranging from one to four weeks in length that explore high-potential but high-risk ideas. The goal: to push the boundaries of agentic AI, surface breakthrough opportunities, and identify which concepts could become transformative products.

This position is ideal for a self-starter who embraces rapid experimentation, thrives in uncertainty, and believes that failure is always an option on the path to discovery. Youll be tasked with exploring novel approaches, testing unconventional ideas, and turning what if into working prototypes.

Key ResponsibilitiesExperimental AI Prototyping

• Rapidly design, build, and iterate on proofs of concept that integrate agentic AI solutions into real-world workflows.
• Explore high-risk, high-reward ideas with an eye toward surfacing scalable, high-impact opportunities.
• Treat experimentation as the core productfocusing on speed, learning, and insight generation.

Creative Problem Solving

• Approach problems with an explorers mindset finding unconventional, creative, and novel ways to apply AI.
• Pivot quickly when ideas fail, extract learnings, and move to the next hypothesis.
• Blend engineering rigor with bold experimentation.

Agentic AI Expertise

• Experiment with multi-agent systems, orchestration frameworks, and emerging LLM tooling.
• Push the limits of AI-driven automation, human-in-the-loop systems, and autonomous agents.
• Establish patterns for safety, observability, and guardrails in experimental contexts.

Collaboration & Communication

• Share resultsboth successes and failuresopenly to inform future bets.
• Partner with product and research teams to evaluate feasibility and impact of promising prototypes.
• Advocate for an experimentation-first culture within the engineering org.

Minimum Qualifications

• 5+ years building and delivering production or experimental software systems.
• Strong coding ability in at least one statically typed language (Go, Java, C#) and one scripting language (Python, TypeScript, Bash).
• Hands-on experience with AI/LLM tooling, including prompt engineering and agent frameworks.
• Proven ability to independently scope, prototype, and deliver fast-turnaround projects.
• Comfort with ambiguity, high failure rates, and rapid iteration cycles.
• Curiosity-driven mindset with a demonstrated track record of creative problem solving.

Preferred / Bonus Skills

• Prior experience working in labs, skunkworks teams, or exploratory R&D groups.
• Familiarity with multi-agent orchestration, autonomous systems, and reinforcement learning.
• Exposure to design thinking, rapid prototyping, or innovation sprints.
• Background in human-computer interaction or applied AI research.

Work Environment & Benefits

• Remote-first with optional hub meet-ups; hardware & co-working stipend.
• Flexible core hours (overlap 9 a.m. 3 p.m. ET).
• Comprehensive health, dental, and vision coverage in Canada & the U.S.
• Generous vacation, paid learning days, and annual budget for conferences or AI tooling subscriptions.

Software International (SI) supplies technical talent to a variety of clients ranging from Fortune 100/500/1000 companies to small and mid-sized organizations in Canada/US. We are currently hiring for a AI Developer - AI Experimentation & Prototyping - Remote
for our global IT SaaS client in the Toronto area.

Role:  AI Developer - AI Experimentation & Prototyping - Remote

Type: Fulltime, Perm

Salary Range: $100,000 - $140,000 as base depending on overall experience + bonus + benefits + other great company perks such as AI tooling and AI conference budget  

Location: Remote - Mississauga, ON, Canada

Remote within the United States or Canada (workday overlap from Pacific to Eastern time zones)

Role Overview

Were looking for a hands-on innovator who thrives at the cutting edge of whats possible with agentic AI systems . In this role, you will design and deliver experimental proof-of-concept projects  ranging from one to four weeks in length that explore high-potential but high-risk ideas. The goal: to push the boundaries of agentic AI, surface breakthrough opportunities, and identify which concepts could become transformative products.

This position is ideal for a self-starter who embraces rapid experimentation, thrives in uncertainty, and believes that failure is always an option on the path to discovery. Youll be tasked with exploring novel approaches, testing unconventional ideas, and turning what if into working prototypes.

Key Responsibilities Experimental AI Prototyping

• Rapidly design, build, and iterate on proofs of concept that integrate agentic AI solutions into real-world workflows.
• Explore high-risk, high-reward ideas with an eye toward surfacing scalable, high-impact opportunities.
• Treat experimentation as the core productfocusing on speed, learning, and insight generation.

Creative Problem Solving

• Approach problems with an explorers mindset finding unconventional, creative, and novel ways to apply AI.
• Pivot quickly when ideas fail, extract learnings, and move to the next hypothesis.
• Blend engineering rigor with bold experimentation.

Agentic AI Expertise

• Experiment with multi-agent systems, orchestration frameworks, and emerging LLM tooling.
• Push the limits of AI-driven automation, human-in-the-loop systems, and autonomous agents.
• Establish patterns for safety, observability, and guardrails in experimental contexts.

Collaboration & Communication

• Share resultsboth successes and failuresopenly to inform future bets.
• Partner with product and research teams to evaluate feasibility and impact of promising prototypes.
• Advocate for an experimentation-first culture within the engineering org.

Minimum Qualifications

• 5+ years building and delivering production or experimental software systems.
• Strong coding ability in at least one statically typed language (Go, Java, C#) and one scripting language (Python, TypeScript, Bash).
• Hands-on experience with AI/LLM tooling, including prompt engineering and agent frameworks.
• Proven ability to independently scope, prototype, and deliver fast-turnaround projects.
• Comfort with ambiguity, high failure rates, and rapid iteration cycles.
• Curiosity-driven mindset with a demonstrated track record of creative problem solving.

Preferred / Bonus Skills

• Prior experience working in labs, skunkworks teams, or exploratory R&D groups.
• Familiarity with multi-agent orchestration, autonomous systems, and reinforcement learning.
• Exposure to design thinking, rapid prototyping, or innovation sprints.
• Background in human-computer interaction or applied AI research.

Work Environment & Benefits

• Remote-first with optional hub meet-ups; hardware & co-working stipend.
• Flexible core hours (overlap 9 a.m. 3 p.m. ET).
• Comprehensive health, dental, and vision coverage in Canada & the U.S.
• Generous vacation, paid learning days, and annual budget for conferences or AI tooling subscriptions.

**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.