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Machine Learning Scientist Jobs

Senior Data Scientist, Operations Research & Machine Learning
By OMERS At Toronto, Ontario, Canada
Minimum eight (8) years’ experience working in an Operations Research/ Machine Learning environment
3-5+ years of experience leading and delivering enterprise-scale operations research/ML projects and facilitating collaboration across teams
Proficiency in programming languages such as Python, along with experience using machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
Solid knowledge of statistical analysis and experimental design to evaluate model and algorithm performance effectively
Recent experience with distillation of NLP tasks from larger models to task specific smaller models is an asset
Effective communication skills to convey complex technical concepts to both technical and non-technical audiences
Senior Machine Learning Scientist
By Coursera At Canada
Strong communication and collaboration skills, with experience in translating complex analysis results to a non-technical audience
Collaborate with cross-functional teams to identify growth opportunities and insights through personalized user experiences and targeted marketing initiatives
Previous experience in machine learning, data science, or a related field, specifically in a marketing or growth context
Experience with marketing analytics & audience building, Large Language Models, propensity modeling, reinforcement learning, bandit algorithms, and/or personalized marketing algorithms
Extensive experience (5+ years) in machine learning, data science, or a related field, specifically in a marketing or growth context
Develop and implement machine learning models for user conversion optimization, personalization, propensity modeling, and next best action recommendations
Machine Learning Scientist Jobs
By Emonics LLC At Markham, Ontario, Canada
Autonomous driving R&D experience. Leadership or management experience with a R&D team for proof-of-concept deliveries.
At least 10 years of in-depth hands-on working experience in Python, C/C++, TensorFlow, PyTorch, MXNet, Keras, etc.
Proven experience of translating ideas into research prototypes quickly.
Our team has an immediate permanent opening for a Research Scientist.
What you'll bring to the team:
Develop cutting-edge reinforcement learning and deep learning algorithms for behavioral planning, motion planning, and motion control.
Machine Learning Student Intern
By AVOLTA, Inc. At Toronto, Ontario, Canada

Company: Avolta Position: Machine Learning Student Intern Location: Toronto, ON (Hybrid) Duration: 3-6 months Application Deadline: September 05, 2023 About Avolta: Avolta is a cutting-edge startup ...

Technical Program Manager, Machine Learning Engineering
By Cash App At Toronto, Ontario, Canada
Work closely with MLE to facilitate collaborations, assemble and align stakeholders on each team, and resolve cross-functional dependencies
Effectively communicate program plans, statuses, risks and mitigation plans to the stakeholders and broader team
Help to shape the prioritization and technical roadmap of our common MLE infrastructure
Continuously contribute to operational excellence via reusable frameworks, tools, solutions to help the team to scale
Concise and to the point communication
Comfort in a fast-paced and dynamic environment
Senior Machine Learning Developer
By Elastic At Montreal, Quebec, Canada
Be comfortable working in a fully-remote environment
Experience designing, training, and evaluating supervised and unsupervised models using popular ML frameworks
Working knowledge of deep learning and clustering algorithms
Experience with writing and running tests (unit tests, integration tests, regression tests)
Experience with performing data analysis as required to support data quality decisions
Experience with AWS or GCP
Research Scientist, Multimodal Machine Learning - Trust And Safety
By TikTok At Vancouver, British Columbia, Canada
Responsibilities - What You'II Do
• Good communication and teamwork skills, be passionate about learning new techniques and taking on challenging problems
• Experience in trust and safety area is a plus
• Work with team members to design next generation CV/NLP/Audio multimodality models
• Work with engineering teams to implement model pipeline and deploy the service at scale
• Collaborate with product team to define objectives and improve trust and safety strategy
Machine Learning/Ai Data Scientist
By BMO At Toronto, Ontario, Canada
Deep knowledge and technical proficiency gained through extensive education and business experience.
Broader work or accountabilities may be assigned as needed.
Verbal & written communication skills.
Analytical and problem solving skills.
Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
Data Scientist / Machine Learning Intern
By CANN Forecast At Montreal, Quebec, Canada
Experienced with writing computer code, querying databases, and using computer languages like Python and SQL query.
Experience using Python libraries to create machine learning / statistical models (scikit-learn, SciPy, pandas, TensorFlow, XGBoost, etc).
Experience with time series data is considered an asset.
Strong problem-solving skills: An ability to approach complex problems analytically and derive actionable insights from data.
Work closely with senior data scientists on real-world projects, contributing to the development and improvement of the AI/ML model performance.
Conduct research and analysis to identify patterns and insights from time series data to improve forecasting accuracy.
Ai Machine Learning Resident
By Apziva At Canada
Unlimited industry projects: gain hands-on industry project experience and apply your knowledge and skills on solving real problems.
Strengthen your Resume and Portfolio: Work with a Hiring Manager from industry-leading companies
Practice Mock Interviews: Practice technical interviews with Principal Data Scientists, Machine Learning Engineers and improve your interview skills.
Remote and flexible: work remotely which you can do at your own pace from the comfort of your home.
Take the Skills Review Survey: Take a 20-minute Machine Learning and Python assessment.
Initial Interview: Interview with our Director of AI to talk about your goals and skills
Machine Learning Resident Jobs
By Apziva At Canada
Unlimited industry projects: gain hands-on industry project experience and apply your knowledge and skills on solving real problems.
Strengthen your Resume and Portfolio: Work with a Hiring Manager from industry-leading companies
Practice Mock Interviews: Practice technical interviews with Principal Data Scientists, Machine Learning Engineers and improve your interview skills.
Remote and flexible: work remotely which you can do at your own pace from the comfort of your home.
Take the Skills Review Survey: Take a 20-minute Machine Learning and Python assessment.
Initial Interview: Interview with our Director of AI to talk about your goals and skills
Senior Principal Scientist - Efficient Deep Learning
By NewFound Recruiting At Markham, Ontario, Canada
5+ years working experience in optimizing deep learning algorithms and/or their applications to NLP/Multimodal/Speech/CV/
Experience with distributed model training (DeepSpeed, Megatron, Colossal-AI, Horovod, etc)
Team leader experience in AI industry is an asset
Excellent written and verbal communication skills for documentation and presentation
Lead a team in research of algorithms on accelerating the training of the market-driven AI models, reaching/exceeding the state-of-the-art performance
Plan project and technology roadmap
Machine Learning (M/L) Developer
By Ceridian At Canada
Skills and experience we value
Collaboration: Work closely with software developers, data scientists, and domain experts to understand project requirements and collaborate on multidisciplinary projects.
Fundamental knowledge of supervised and unsupervised learning techniques, reinforcement learning, deep learning, and ensemble methods
Firsthand experience in developing and implementing machine learning algorithms and models in some capacity
Strong programming experience with Python and popular machine learning libraries (e.g., TensorFlow, Keras, PyTorch, scikit-learn)
API programming experience (Flask, FastAPI, etc.)
Researcher - Graph Machine Learning
By Huawei Technologies Canada Co., Ltd. At Markham, Ontario, Canada
Experience with Large-scale training, evaluation, and deployment designs and procedures
Keeping up-to-date on selected areas of ML (such as graph representation learning, dynamic and knowledge graphs, and deep learning)
Apply cutting-edge research to solve impactful real-world problems, publish at top-tier conferences, and invent patents
Publish at top-tier ML conferences, file high-value patents, and write scientific technical reports
Contribute to the design, implementation, test, and maintenance of research and development frameworks
Collaborate with researchers and developers across teams and projects
Senior Machine Learning Specialist
By General Motors At Markham, Ontario, Canada
Experience using SQL/NoSQL and knowledge in database management.
3+ years of relevant industry experience with developing machine learning models.
Detailed knowledge of advanced statistics, probability, and of supervised, semi/self-supervised and unsupervised learning.
Experience in designing end-to-end machine learning systems
Demonstrated knowledge of algorithms and data structures
Previous experience as a Tech Lead or experience in a similar role.
Machine Learning Specialist Jobs
By General Motors At Oshawa, Ontario, Canada
Experience using SQL/NoSQL and knowledge in database management.
Detailed knowledge of statistics, probability, and of supervised, semi/self-supervised and unsupervised learning.
Demonstrated knowledge of algorithms and data structures
1+ years relevant industry experience with developing machine learning models.
Experience with UNIX tools and shell scripting.
Experience with data tools and ecosystems (Hive, Spark, etc.).
Machine Learning Researcher Jobs
By Replayz At Canada
2+ years of professional experience in using SQL and data management.
4+ years of experience in programming with Python.
3+ experience in using Natural Language Processing (NLP), particularly pre-processing, embedding, and applying ML algorithms on unstructured textual data.
3+ years of professional experience working with languages and frameworks typically used in machine learning (e.g., Pytorch, scikit-learn, NLTK).
3+ years of professional experience in software development best practices (e.g. version control, testing, documentation).
3+ years of professional experience in developing machine learning models using the Cloud computing platforms (e.g., AWS, GCP)
Staff Machine Learning Developer
By ServiceNow At Toronto, Ontario, Canada
Experience with Docker, Linux, and Kubernetes
Experience building new products that leverage challenging high-performance algorithms
Knowledge of core AI/ML techniques and algorithms
Experience with pytorch/tensorflow and transformers is a plus
Knowledge of modern AI/ML infrastructure and tooling, including triton and cloud infrastructure
Knowledge of unit testing, profiling, and code tuning
Machine Learning Consultant (Contract)
By Elastify At Greater Toronto Area, Canada
Excellent communication skills with ability to distill complexity for senior management
Experience in frameworks such as TensorFlow, PyTorch, MXNet, scikit-learn.
Experience with at least one cloud platform (e.g., AWS, Azure, GCP).
Fluency in Python and SQL with demonstrated experience in common data manipulation APIs (Application Programming Interface)
Excellent analytical and problem-solving skills that are required to interpret data and draw conclusions
Data Science / Data Scientist experience
Staff Research Scientist - Reinforcement Learning
By Huawei Technologies Canada Co., Ltd. At Edmonton, Alberta, Canada
Working or internship experience at industry research labs or technology companies is an asset.
Experience building large scale machine learning solutions for decision making, planning, reasoning, autonomous driving, operations research, or multi-agent systems.
Minimum of 2 to 3 years of relevant working experience.
Conducting high-quality research in the topics of foundation models, continual learning, multi-task / transfer learning, offline RL, and etc.;
Developing prototype applications in autonomous driving and other complex real-world optimization problems.
PhD in Computer Science or related fields with a focus on reinforcement learning & decision making.

Are you passionate about using data to solve complex problems? Do you have a knack for developing innovative machine learning models? If so, we have the perfect job for you! We are looking for a Machine Learning Scientist to join our team and help us create cutting-edge solutions to challenging problems. As a Machine Learning Scientist, you will be responsible for developing and deploying machine learning models to improve our products and services. You will have the opportunity to work with a diverse team of experts and explore the latest technologies in the field. If you are excited about pushing the boundaries of machine learning, this is the job for you!

Overview A Machine Learning Scientist is a professional who uses advanced mathematical and statistical techniques to develop and implement machine learning algorithms. They are responsible for designing, testing, and deploying machine learning models to solve complex problems in a variety of industries. Detailed Job Description A Machine Learning Scientist is responsible for developing and deploying machine learning algorithms to solve complex problems. They must be able to identify and analyze data, develop and test machine learning models, and deploy them in production. They must also be able to communicate their findings to stakeholders and other team members. Job Skills Required
• Knowledge of machine learning algorithms and techniques
• Knowledge of programming languages such as Python, R, and Java
• Knowledge of data analysis and visualization tools
• Ability to identify and analyze data
• Ability to develop and test machine learning models
• Ability to deploy machine learning models in production
• Ability to communicate findings to stakeholders and other team members
Job Qualifications
• Bachelor’s degree in computer science, mathematics, or a related field
• Master’s degree in computer science, mathematics, or a related field
• Experience with machine learning algorithms and techniques
• Experience with programming languages such as Python, R, and Java
• Experience with data analysis and visualization tools
• Knowledge of statistics and probability
Job Knowledge
• Knowledge of machine learning algorithms and techniques
• Knowledge of programming languages such as Python, R, and Java
• Knowledge of data analysis and visualization tools
• Knowledge of statistics and probability
• Knowledge of software engineering principles
Job Experience
• Experience with machine learning algorithms and techniques
• Experience with programming languages such as Python, R, and Java
• Experience with data analysis and visualization tools
• Experience with software engineering principles
• Experience with deploying machine learning models in production
Job Responsibilities
• Identify and analyze data
• Develop and test machine learning models
• Deploy machine learning models in production
• Communicate findings to stakeholders and other team members
• Monitor and evaluate machine learning models
• Update machine learning models as needed