75 Senior Deep Learning Engineer jobs in Toronto

Job Description

Job Description

We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field
• 5+ years of experience, with at least 2 years in both deep learning and software engineering
• Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
• Experience with CNNs, LSTMs/RNNs, Transformers
• Strong math skills and Python proficiency
• Experience with C/C++

Preferred Skills & Experience:

• Master's or PhD in Computer Science, Engineering, or related field
• Experience in embedded or low-level programming
• Knowledge of CUDA/OpenGL
• Experience deploying neural networks in production
• Familiarity with model compression techniques like quantization, pruning, etc.

These are permanent full time remote positions.

**Job Requisition ID #**
25WD89882
**Position Overview**
Autodesk is leading the transformation of the AEC industry, integrating AI
technology into our products. We're enhancing our applications with cloud-
native capabilities, including data at scale, edge computing, AI-based
solutions, and advanced _3D_ modeling and graphics. This innovation is
happening across our flagship products-AutoCAD, Revit, and Construction
Cloud-and Forma, our new Industry Cloud.
As a _Machine Learning_ Engineer on the AEC Solutions team, you will join a
team of technologists to help build foundation models and generative AI
tools for the AEC industry. You will work collaboratively to create and
interpret design data that can enhance design and engineering workflows.
Report: You will report to the _Machine Learning_ Manager in the
Architecture, Engineering, and Construction (AEC) Solutions Team.
**Location:** We support hybrid work or remote work in Canada.
**Responsibilities**
+ Collaborate with other engineers to develop scalable data pipelines and architectures
+ Work with large-scale datasets including text and geometric data, to support preprocessing, augmentation, analysis and content understanding
+ Write production-quality code for _model_ training, testing, and deployment.Design and execute _model_ experiments, evaluate performance, and iterate based on findings
+ Monitor, troubleshoot, and optimize _machine learning_ models to ensure accuracy, efficiency, and low latency
+ Perform requirements analysis, working with team members of different levels and documenting solutions
+ Communicate your findings through quantitative data analysis and qualitative visuals and insights
+ Implement agile approaches ensuring flexibility and responsiveness to evolving project needs
**Minimum Qualifications**
+ Bachelor's or Master's degree in Computer Science, _Machine Learning_ , Artificial Intelligence, Mathematics, Statistics, or a related technical field, or equivalent industry experience
+ 3-5+ years of hands-on experience in _machine learning_ engineering or a closely related field
+ Expertise in training deep neural networks (e.g., CNNs, Transformers), with proficiency in modern deep learning libraries and frameworks such as _PyTorch_ , Lightning, and Ray
+ Proven experience scaling _machine learning_ training and data pipelines
+ Hands-on experience with Large Language Models (LLMs) and related technologies, including embedding models, vector databases, and Retrieval-Augmented Generation (RAG) systems
+ Strong background in computational _geometry_ and geometric methods
+ Experience in data modeling, architecture, and processing using varied data types, particularly **2D and** **_3D_** **geometric data representations**
+ Proficiency with version control, _model_ reproducibility practices, and deployment of _machine learning_ models
+ Familiarity with cloud services and architectures, especially AWS (e.g., SageMaker Studio), and ideally Azure
+ Strong understanding of fundamental computer science algorithms and their scaling behaviors
+ Excellent programming skills in both procedural and data-analytics-oriented languages (e.g., Python)
+ Ability to translate theoretical _machine learning_ concepts into practical, scalable solutions and prototype implementations
+ Excellent documentation skills, including code, architecture design, and experiment tracking
+ Practical experience with hyperparameter tuning, _model_ optimization methods, and acceleration techniques
+ Experience with distributed computing platforms such as Apache Spark or Hadoop
+ Demonstrated experience developing high-scale, production-grade _machine learning_ algorithms
**Preferred Qualifications**
+ Experience building or working with distributed systems
+ Background in the Architecture, Engineering, or Construction (AEC) industry
+ Domain knowledge in design, manufacturing, AEC, or media & entertainment industries
+ Experience with Autodesk products or similar software tools
**Learn More**
**About Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
**Salary transparency**
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
**Diversity & Belonging**
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: you an existing contractor or consultant with Autodesk?**
Please search for open jobs and apply internally (not on this external site).

**Job Requisition ID #**
25WD85433
**25WD85433, Développeur en apprentissage automatique**
_French translation to follow!/Traduction française à venir!_
**Aperçu du poste**
Autodesk est à la tête de la transformation de l'industrie AEC, en intégrant la technologie de l'IA dans nos produits. Nous améliorons nos applications avec des capacités cloud-natives, y compris les données à l'échelle, l'edge computing, les solutions basées sur l'IA, et la modélisation et les graphiques 3D avancés. IA, ainsi que la modélisation et le graphisme 3D avancés. Cette innovation Cette innovation concerne nos produits phares - AutoCAD, Revit et Construction Cloud - ainsi que Forma, notre nouveau produit Industry Cloud. Cloud - et Forma, notre nouveau Cloud industriel.
En tant qu'ingénieur en apprentissage automatique au sein de l'équipe AEC Solutions, vous rejoindrez une équipe de technologues pour aider à construire les fondations de la technologie. équipe de technologues pour aider à construire des modèles de base et des outils d'IA générative pour l'industrie AEC. générative pour l'industrie AEC. Vous travaillerez en collaboration pour créer et Vous travaillerez en collaboration pour créer et interpréter des données de conception qui peuvent améliorer les flux de travail de conception et d'ingénierie.
Rapport: Vous serez rattaché(e) au responsable de l'apprentissage automatique au sein de l'unité Architecture, ingénierie et construction (AEC).
Architecture, Engineering, and Construction (AEC) Solutions Team.
Lieu de travail : Nous soutenons le travail hybride et vous travaillez près de nos bureaux de Boston,
Massachusetts ou de Toronto, Canada.
**Responsabilités**
+ Collaborer avec d'autres ingénieurs pour développer des pipelines et des architectures de données évolutives
+ Travailler avec des ensembles de données à grande échelle, y compris des données textuelles et géométriques, pour soutenir le prétraitement, l'augmentation, l'analyse et la compréhension du contenu
+ Vous êtes en charge de la conception et de l'exécution d'expériences de modélisation, de l'évaluation des performances et de l'itération sur la base des résultats obtenus
+ Surveillez, dépannez et optimisez les modèles d'apprentissage automatique pour garantir la précision, l'efficacité et une faible latence
+ Effectuer l'analyse des besoins, travailler avec des membres de l'équipe de différents niveaux et documenter les solutions
+ Communiquer vos résultats par le biais d'analyses de données quantitatives, de visuels qualitatifs et d'aperçus
+ Mettre en œuvre des approches agiles garantissant la flexibilité et la réactivité face à l'évolution des besoins du projet
**Qualifications minimales**
+ Une maîtrise en apprentissage automatique, en intelligence artificielle, en mathématiques, en statistiques, en informatique ou dans un domaine connexe
+ 3 - 5+ années d'expérience en ingénierie de l'apprentissage automatique ou dans un domaine connexe
+ Expertise dans la formation de réseaux neuronaux profonds, tels que les CNN et les Transformers, avec une maîtrise des bibliothèques et des cadres modernes d'apprentissage profond (par exemple, PyTorch, Lightning, Ray)
+ Expérience des LLM et des technologies connexes, y compris les cadres, les modèles d'intégration, les bases de données vectorielles et les systèmes RAG (Retrieval-Augmented Generation)
+ Expérience de la modélisation, de l'architecture et du traitement des données à l'aide de diverses représentations de données, y compris la géométrie 2D/3D
+ Expérience des services en nuage AWS et de SageMaker Studio pour le traitement évolutif des données et le développement de modèles
+ Solide compréhension des algorithmes informatiques fondamentaux et de leurs comportements de mise à l'échelle
+ Excellentes compétences en codage dans des langages procéduraux et orientés vers l'analyse de données (par exemple, Python)
+ Capacité à traduire des concepts théoriques en solutions pratiques et en prototypes de mise en œuvre
+ Solides compétences en matière de documentation du code, des architectures et des expériences
+ Expérience en architecture, ingénierie ou construction
+ Expérience pratique de la préparation des données, de la sélection des hyperparamètres, des techniques d'accélération et des méthodes d'optimisation
+ Expérience de la distribution parallèle d'algorithmes à l'aide de plateformes telles que Spark ou Hadoop
+ Expérience pratique dans le développement d'algorithmes d'apprentissage automatique à grande échelle
**Le candidat idéal**
+ Vous êtes passionné par la résolution de problèmes pour les clients AEC (Architecture, Ingénierie et Construction) en appliquant des techniques d'apprentissage automatique
+ Vous êtes à l'aise pour travailler dans des domaines nouveaux et ambigus où l'apprentissage et l'adaptabilité sont des compétences clés
+ Vous collaborez facilement avec les autres et êtes à l'aise avec un minimum de directives
+ Vous vous efforcez constamment d'apprendre de nouvelles technologies et méthodologies
+ Vous cherchez de nouvelles façons de résoudre des problèmes difficiles
+ Vous n'avez pas peur d'exprimer vos idées et d'échouer rapidement
---
**25WD85433, Machine Learning Developer**
**Position Overview**
Autodesk is leading the transformation of the AEC industry, integrating AI
technology into our products. We're enhancing our applications with cloud-
native capabilities, including data at scale, edge computing, AI-based
solutions, and advanced 3D modeling and graphics. This innovation is
happening across our flagship products-AutoCAD, Revit, and Construction
Cloud-and Forma, our new Industry Cloud.
As a Machine Learning Engineer on the AEC Solutions team, you will join a
team of technologists to help build foundation models and generative AI
tools for the AEC industry. You will work collaboratively to create and
interpret design data that can enhance design and engineering workflows.
Report: You will report to the Machine Learning Manager in the
Architecture, Engineering, and Construction (AEC) Solutions Team.
Location: We support hybrid work, and you work near our Boston,
Massachusetts or Toronto, Canada offices.
**Responsibilities**
+ Collaborate with other engineers to develop scalable data pipelines and architectures
+ Work with large-scale datasets including text and geometric data, to support preprocessing, augmentation, analysis and content understanding
+ Write production-quality code for model training, testing, and deployment.Design and execute model experiments, evaluate performance, and iterate based on findings
+ Monitor, troubleshoot, and optimize machine learning models to ensure accuracy, efficiency, and low latency
+ Perform requirements analysis, working with team members of different levels and documenting solutions
+ Communicate your findings through quantitative data analysis and qualitative visuals and insights
+ Implement agile approaches ensuring flexibility and responsiveness toevolving project needs
**Minimum Qualifications**
+ An MS in Machine Learning, Artificial Intelligence, Mathematics, Statistics, Computer Science, or a related field
+ 3 - 5+ years of experience in machine learning engineering or a related field
+ Expertise in training deep neural networks, such as CNNs and Transformers, with proficiency in modern deep learning libraries and frameworks (e.g., PyTorch, Lightning, Ray)
+ Experience with LLMs and related technologies, including frameworks, embedding models, vector databases, and Retrieval-Augmented Generation (RAG) systems
+ Experience in data modeling, architecture, and processing using various data representations, including 2D/3D geometry
+ Experience with AWS cloud services and SageMaker Studio for scalable data processing and model development
+ Strong understanding of fundamental computer science algorithms and their scaling behaviors
+ Excellent coding skills in both procedural and data-analytics-oriented languages (e.g., Python)
+ Ability to translate theoretical concepts into practical solutions and prototype implementations
+ Strong documentation skills for code, architectures, and experiment
+ Background in Architecture, Engineering, or Construction
+ Practical experience in data preparation, hyper-parameter selection; acceleration techniques; and optimization methods
+ Experience in parallel distribution of algorithms using platforms such as Spark or Hadoop
+ Practical experience in developing high scale machine learning algorithms
**The Ideal Candidate**
+ You are passionate about solving problems for AEC (Architecture, Engineering, and Construction) customers by applying machine learning techniques
+ You are comfortable working in newly forming ambiguous areas where learning and adaptability are key skills
+ You easily collaborate with others and are comfortable with minimal direction
+ You are constantly striving to learn new technologies and methodologies
+ You seek new ways to solve hard problems
+ You are unafraid to put your ideas out there and fail fast
**Learn More / Plus d'information**
**About Autodesk /** **À propos d'Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.
When you're an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!
Bienvenue à Autodesk ! Des choses incroyables sont créées chaque jour avec nos logiciels - des bâtiments les plus écologiques et des voitures les plus propres aux usines les plus intelligentes et aux plus grands films à succès. Nous aidons les innovateurs à transformer leurs idées en réalité, transformant non seulement la façon dont les choses sont faites, mais ce qui peut être fait.
Nous sommes très fiers de notre culture ici chez Autodesk - notre code en matière de culture est au cœur de tout ce que nous faisons. Nos valeurs et nos méthodes de travail aident nos employés à prospérer et à réaliser leur potentiel, ce qui conduit à des résultats encore meilleurs pour nos clients.
Lorsque vous êtes un employé Autodesk, vous pouvez être entier et authentique et effectuer un travail significatif qui aide à construire un avenir meilleur pour tous. Prêt à façonner le monde et votre avenir? Joignez-vous à nous !
**Salary transparency /** **Transparence salariale**
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.
Le salaire est l'un des éléments de l'offre compétitive d'Autodesk. Les offres sont basées sur l'expérience et la situation géographique du candidat. Outre les salaires de base, nous accordons également une grande importance aux primes annuelles discrétionnaires en espèces, aux commissions pour les fonctions de vente, aux actions ou aux primes d'encouragement à long terme en espèces, ainsi qu'à un ensemble complet d'avantages sociaux.
**Diversity & Belonging /** **Diversité et appurtenance**
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: sommes fiers de cultiver une culture d'appartenance et un milieu de travail équitable où tout le monde peut s'épanouir. Pour en savoir plus, cliquez ici : you an existing contractor or consultant with Autodesk?**
**Êtes-vous un sous-traitant ou un consultant existant d'Autodesk ?**
Please search for open jobs and apply internally (not on this external site).
Veuillez rechercher des emplois vacants et postuler à l'interne (pas sur ce site externe).

Job Description

Job Description

Our client is looking for a highly skilled Machine Learning Engineer to join their growing team in Mississauga. This role is ideal for a technically strong and experienced ML professional who thrives in a fast-paced, collaborative environment and is passionate about delivering scalable machine learning solutions on distributed systems such as Hadoop.

Key Responsibilities:

• Design, develop, and implement machine learning models using Spark ML for predictive analytics
• Build and optimize end-to-end training and inference pipelines on distributed platforms
• Process and analyze large datasets to uncover insights and engineer effective features
• Work closely with data engineers to integrate ML models into existing data pipelines
• Fine-tune models and hyperparameters to maximize performance and accuracy
• Develop scalable solutions for both real-time and batch inference
• Continuously monitor deployed models and address any performance issues
• Keep up-to-date with the latest tools, frameworks, and best practices in machine learning and distributed computing

Required Qualifications:

• 10+ years of experience as a Machine Learning Engineer or similar role
• Expertise in Apache Spark and Spark MLlib
• Solid understanding of predictive modeling techniques (e.g., regression, classification, clustering)
• Hands-on experience with distributed systems such as Hadoop
• Proficiency in Python, Scala, or Java
• Strong grasp of data preprocessing and feature engineering methodologies
• Familiarity with model evaluation metrics and production deployment practices
• In-depth knowledge of distributed computing and parallel processing principles

This office is located in Mississauga, and you will have to be 3 days onsite per week; must be onsite from Day 1

Job Description

Job Description

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. Its open-source technology is trusted by over 20,000 organizations worldwide - including more than half of the Fortune 500 - H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Singtel, Chipotle, Workday, Progressive Insurance, and NIH.

H2O.ai partners include Dell Technologies, Deloitte, Ernst & Young (EY), NVIDIA, Snowflake, AWS, Google Cloud Platform (GCP) and VAST. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users.

H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. 

About This Opportunity

H2O.ai is at the forefront of the rapidly evolving MLOps landscape. We're leveraging MLOps to transform machine learning models from isolated, engineer-specific tools into robust, cloud-native services that are scalable and consistently available. Our approach is firmly rooted in Kubernetes, positioning our team at the cutting edge of cloud solutions.

We are seeking a highly skilled and motivated Machine Learning Engineer to join our team in Canada. The successful candidate will have a strong background in machine learning and software engineering, with experience in developing and deploying machine learning models in real-world applications. The ideal candidate will have a passion for working with data, a strong understanding of machine learning algorithms and techniques, cloud technology and the ability to communicate complex technical concepts to stakeholders.

This position is based in Toronto, Canada.

What You Will Do 

As a Machine Learning Engineer, you will work closely with technical teams on the customer side and Customer Success, Enterprise Support, and Product Engineering teams on the H2O side.

Your primary responsibilities are:

• Deliver technical professional services to the customer.
• Working closely with H2O Data Scientists in advising and developing end to end machine learning solutions (from a data engineering perspective) for the customer requirements.
• Integrating H2O products with customer data sources for model training.
• Integrating machine learning models/pipelines (python and mojo scoring pipelines) with customer systems for scoring (relatime/batch) as well as model monitoring and operations.
• Implementing end to end MLdata flow pipelines that help streamline and data science solutions to a business problem.
• Implementing AI driven applications using the open source H2O Wave SDK.
• Provide/gather customer feedback so that you can work with the H2O.ai Engineering team to further enhance our products for needed features.
• Ensure the scalability, reliability, and performance of deployed models by implementing appropriate monitoring, testing, and debugging processes.
• Work on GenAI tools - LLMs, Fine tuning engines, RAG, create GenAI Apps.

Your additional responsibilities include:

• Be the trusted solutions advisor for our customers and partners.
• Communicate effectively with a diverse audience of internal and external stakeholders consisting of: Engineers, business people, partners, executives.
• Translate business cases and requirements into value based technical solutions through the architecture of machine learning workflows and systems from data ingestion to model deployment.

What We Are Looking For 

• Bachelor’s or a higher education degree in Computer Science/Engineering, data science, statistics or related field

Data Engineering Skills

• Experience building data pipelines, ETL data sets, preferably on ‘Big Data’
• Excellent understanding and experience with big data tools like Hadoop and Spark
• Excellent knowledge of SQL query language and working with relational databases.
• Understanding of various NoSQL database types and their application scenarios
• Experience in Spark/Kafka and Hadoop ecosystem

Programming Languages/Frameworks

• Proficient in Python or R for data science. Java, Bash scripting, Scala Go are a plus
• Experience with writing REST API using microservices frameworks in Python or Java
• Experience with dockerization of services (i.e. creating docker images)
• Understanding of Kubernetes based application development

Data Science skills

• Experience of visualizing and presenting (EDA) to stakeholders using H2O Wave (plus), or other standard data visualization libraries in the Python and R stacks or using Tableau/PowerBi.
• Experience with post production model monitoring tools like H2O ML Ops (plus) MLFlow etc.
• Understanding of using a variety of machine learning techniques (supervised/unsupervised, clustering,
• decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks/tuning
• techniques.
• Understanding of using advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) for practical applications.

Additional Requirements

• Experience of working in a customer-facing environment, providing technical services
• Excellent communication skills (proficient in spoken and written English). Additional languages are a plus.
• Amicable attitude. Aptitude to independently investigate and find solutions to technical problems; urge to learn/master new technologies. Maker mindset.

How to Stand Out From the Crowd

• Experience with big data technologies such as Hadoop, Spark, or NoSQL databases.
• Familiarity with DevOps practices and tools such as Git, Jenkins, ArgoCD.
• Knowledge of data privacy and security principles.
• Experience with natural language processing or computer vision tasks.
• Experience with model interpretability techniques such as feature importance, partial dependence plots, or SHAP values.
• Experience with IaC technologies such as Terraform, AWS Cloud Formation.
• Experience with containerization technologies such as Kubernetes, Docker.
• Experience of debugging/troubleshooting containerized workloads and familiarity with tools such as kubectl, helm etc. 

Why H2O.ai?

• Market leader in total rewards
• Remote-friendly culture
• Flexible working environment
• Be part of a world-class team
• Career growth

H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis.

H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. 

H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose.

Please visit  learn more.

Powered by JazzHR

FHQv6Tz705

**Work Location:**
Toronto, Ontario, Canada
**Hours:**
37.5
**Line of Business:**
Analytics, Insights, & Artificial Intelligence
**Pay Details:**
$150,000 - $190,000 CAD
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:**
Layer 6 is the AI research centre 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 research broadly 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 always looking for people driven to be at the cutting edge of machine learning in research, engineering, and impactful applications.
**As a Research Machine Learning Scientist, you will**
+ Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.
+ Research, develop, and apply new techniques in deep learning to advance our industry leading products.
+ Work with large-scale, real-world datasets that range from banking transactions, to large document collections.
+ Collaborate closely with our engineering team in a fast-paced startup environment and see your research deployed in production with very short turnaround.
**Required** **Qualifications:**
+ PhD or Master's degree in Computer Science, Statistics, Mathematics, Engineering or a related field
+ Strong background in machine learning and deep learning
+ 2+ years of research experience with publication record
+ Proven track record of applying machine learning to solve real-world problems
**Preferred** **Qualifications:**
+ Depth of experience in relevant ML research disciplines
+ Hands on experience in software systems development
+ Experience with one or more of Pytorch, Tensorflow, Jax, or comparable library
+ Experience with Spark, SQL, or comparable database systems
+ Experience using GPUs for accelerated deep learning training
+ Familiarity with cloud computing systems like Azure or AWS
**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.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
With over half a billion rides and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing peta-byte scale data.
Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. Join us in our mission to revolutionize transportation and improve lives by leveraging cutting-edge machine learning technologies. At Lyft, we foster a culture of innovation, inclusivity, and continuous learning, where every team member is empowered to make a difference.
We are seeking a **Staff Machine Learning Engineer** to lead the design, development, and deployment of state-of-the-art machine learning systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging AI, Machine learning and Data science.
If you are a critical thinker with experience in machine learning workflows, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you.
**Responsibilities:**
+ **Model Development:** Design, build, train, and deploy machine learning models for real-time applications.
+ **System Design:** Architect scalable, reliable, and maintainable machine learning pipelines, integrating seamlessly with existing backend systems.
+ **Collaboration:** Work closely with machine learning engineers, product managers, data scientists, and software engineers to align machine learning initiatives with business goals.
+ **Innovation:** Stay ahead of the curve by exploring new algorithms, technologies, and frameworks to solve complex problems and introduce use cases for the team. Critically evaluate problems across business areas.
+ **Data-Driven Decision Making:** Utilize data-driven insights to inform and refine machine learning strategies and solutions.
+ **Mentorship:** Provide technical leadership, mentor engineers, and foster a culture of learning and collaboration.
+ **Code Quality:** Write production-level code to convert your ML models into working pipelines and participate in code reviews to ensure code quality and distribute knowledge.
**Experience:**
+ B.S., M.S. or Ph.D. in Computer Science or related technical field or relevant work experience.
+ 8+ years (or Ph.D. with 6+ years) of experience in machine learning, data science, or related fields, with at least 3 years in a senior or staff engineering role.
+ Deep understanding of supervised/unsupervised learning, reinforcement learning, and advanced optimization techniques.
+ Deep knowledge of ML libraries like scikit-learn, Tensorflow, PyTorch, Keras, etc.
+ Experience with distributed computing frameworks like Spark, Hadoop.
+ Strong knowledge of cloud platforms (e.g., AWS, GCP) and containerization tools (e.g., Docker, Kubernetes).
+ Proven ability to quickly and effectively turn research ML papers into working code.
+ Practical knowledge of how to build efficient end-to-end ML workflows.
+ Proven ability to tackle ambiguous problems and deliver solutions at scale.
+ Strong communication and interpersonal skills for effective cross-functional collaboration.
+ "Engineer at heart" with a high degree of comfort in designing software systems and producing high-quality code.
**Benefits:**
+ Extended health and dental coverage options, along with life insurance and disability benefits
+ Mental health benefits
+ Family building benefits
+ Child care and pet benefits
+ Access to a Lyft funded Health Care Savings Account
+ RRSP plan to help save for your future
+ In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
+ Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
+ Subsidized commuter benefits
Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
The expected base pay range for this position in the Toronto area is CAD $189,200 - CAD $236,500. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

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.

We are looking for a motivated and passionate Machine Learning Engineers for our team.

As part of this job, you will be responsible for:

• Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions
• Creating Scalable Machine Learning systems that are highly performant
• Building reusable production data pipelines for implemented machine learning models
• Writing production-quality code and libraries that can be packaged as containers, installed and deployed

Requirements

• Bachelor's degree or higher in computer science or related, with 5+ years of work experience
• Ability to collaborate with Data Engineers and Data Scientist to build data and model pipelines and help running machine learning tests and experiments
• Ability to manage the infrastructure and data pipelines needed to bring ML solution to production
• End-to-end understanding of applications being created and maintain scalable machine learning solutions in production
• Ability to abstract complexity of production for machine learning using containers
• Ability to troubleshoot production machine learning model issues, including recommendations for retrain, revalidate, and improvements
• Experience with Big Data Projects using multiple types of structured and unstructured data
• Ability to work with a global team, playing a key role in communicating problem context to the remote teams
• Excellent communication and teamwork skills

Additional Skills Required:

• Python, Spark, Hadoop, Docker, with an emphasis on good coding practices in a continuous integration context, model evaluation, and experimental design
• Test-driven development (prefer py. test/nose), experience with Cloud environments
• Proficiency in statistical tools, relational databases, and expertise in programming language like python/SQL is desired.

Good to have:

• Knowledge of ML frameworks like Scikitlearn, Tensorflow, Keras, etc.
• Knowledge of MLflow, Airflow, Kubernetes
• Knowledge on any of the cloud-native MLaaS offerings like AWS SageMaker, AzureML, or Google AI platform

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.