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Staff 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.
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.
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
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.
Remote--Junior Support Data Scientist/Machine Learning--Full Time
By Visionary Innovative Technology Solutions LLC At Canada
This role is flexible in that you can work from home.
• Thorough troubleshooting, debugging, and problem-solving skills
• Strong C, C++ coding skills, along with Python, C# and Java
• Azure, AWS cloud development experience
Experience in one or more of these areas desirable
• Excellent C/C++ coding skills
Data Scientist/ Machine Learning Engineer (Singapore-Based, Relocation Provided)
By Agoda At Toronto, Ontario, Canada
Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness
2+ years hands-on data science experience
Good communication and interpersonal skills for working in a multicultural work environment
Experience in NLP, image processing and/or recommendation systems
Hands on experience in data engineering, working with big data framework like Spark/Hadoop
Experience in data science for e-commerce and/or OTA
Machine Learning Scientist (Biology Or Chemistry Background Required)
By ProteinQure At Toronto, Ontario, Canada

field of biophysical computational methods. It is a interdisciplinary team with many opportunities for growth and impact. Responsibilities Nice to haves

Staff Machine Learning Engineer - Ads
By Nextdoor At Toronto, Ontario, Canada
Proven engineering skills. Experience of writing and maintaining high-quality production code
5+ years of industry/academic experience of applying machine learning at scale
Experience building ML models for advertising products is a huge plus
Experience in running online AB experiments to measure impact of model ramps
You will have ownership over large-scale projects and drive innovation in the ads relevance domain
B.S. in Computer Science, Applied Math, Statistics, Computational Biology or a related field
Principal Scientist, Reinforcement Learning
By Sanctuary AI At Vancouver, British Columbia, Canada
PhD in Machine Learning, Computer Science, Applied Math, or equivalent work experience in ML
4+ years' experience implementing a variety of ML methods with a focus in a specialization such as computer vision or robotics
2+ years' experience implementing and deploying (dexterous) robotic manipulation tasks in simulation and on physical robots
Experience in simulation-to-reality transfer learning
Experience taking ML R&D and trained models into production
Hands-on experience integrating ML models onto a robotics platform
Staff Scientist 2 - Bc Cancer Vancouver
By Provincial Health Services Authority At Vancouver, British Columbia, Canada
A level of education, training and experience equivalent to a Ph.D. in a related scientific field.
Seven (7) years of recent, relevant research experience.
Support team members on their learning journey, ensuring education strategy for team/department to implement Indigenous Cultural Safety at a practical level.
Enjoy a comprehensive benefits package, including municipal pension plan, and psychological health & safety programs and holistic wellness resources.
PHSA is a remote work friendly employer, welcoming flexible work options to support our people (eligibility may vary, depending on position).
Plan, coordinate and participate in scientific research projects.
Data Scientist/Machine Learning Engineer
By Appen At Toronto, Ontario, Canada
Knowledge of SQL or similar database management systems.
Knowledge of advanced data techniques, including data modeling, data access, data integration, data visualization, databases, database design, and data management.
Strong knowledge and experience in Machine Learning, Data Science, and Generative AI.
Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.
3-5 years of industry experience as a Data Scientist or Machine Learning Engineer.
Experience with cloud platforms such as AWS, Google Cloud, or Azure.
Staff Machine Learning Software Engineer, New Initiatives
By Dropbox At Canada
BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience
10+ years of engineering experience with 6+ years building Machine Learning or AI systems
Experience working in a start-up or in a start-up like environment
Strong industry experience working with large scale data systems
Strong analytical and problem-solving skills
Proven software engineering skills across multiple languages including but not limited to Python
Staff Machine Learning Engineer
By Everbridge At Canada
This position is fully remote, however candidates need to be located in BC, Ontario or Quebec *
Ph.D. in a technical field or bachelor's degree plus 3 years' experience
5+ years of experience developing NLP models (e.g. BERT, BART, DistilBERT) in production
5+ years of experience with a programming language in a production setting (e.g., Python, Java)
3+ years' experience with machine learning frameworks (e.g. PyTorch, TensorFlow)
2+ years’ experience with use of distributed data processing frameworks (e.g. Spark, Storm)
Startup Founder | Data Scientist/Machine Learning/Ai Expert & Startup Founder
By Antler At Toronto, Ontario, Canada
Have strong analytical skills with hands-on experience in conducting technological analyses and applying advanced analytics & Machine Learning methodologies
Have experience leading a team and maintaining an organized oversight of specific product delivery schedules
have experience leading a team and maintaining an organized oversight of specific product delivery schedules
Requirements: you will need to be a Canadian citizen or PR card holder in order to qualify
Identify as someone with deep expertise in data science, machine learning, artificial intelligence or product development
Can design, develop, and implement models, proof-of-concepts and pre-product prototypes
Data Scientist (Deep Learning)
By DELAN - Chasseurs de Talents en TI At Montreal, Quebec, Canada
• 5+ years of experience as a Data Scientist
• 2+ years of experience in Deep Learning (PyTorch or TensorFlow)
• Experience in Artificial Intelligence and/or Big Data projects
• Experience with GCP – Google Cloud Platform (Big Query, Kubernetes, Vertex AI)
• Knowledge in the pharmaceutical and/or medical field (asset)
• Analyser un très haut niveau de données et les transformer
Senior Machine Learning Scientist
By Recursion At Montreal, Quebec, Canada
PhD in Computer Science or related quantitative field or the equivalent practical experience.
2+ years of hands-on experience applying modern machine learning methods to solve real-world problems.
Extensive experience using modern technologies to accelerate machine learning (e.g. PyTorch, TensorFlow/Keras, Horovod, etc)
Curiosity and the professional skill-set to excel in an open, highly collaborative environment.
Outstanding past projects, publications, and presentations, and a demonstrated ability to communicate results to cross-functional stakeholders.
Your work will change lives. Including your own.

Are you looking for an exciting opportunity to use your machine learning skills to make a real impact? We are looking for a Machine Learning Scientist to join our team and help us develop innovative solutions to complex problems. You will be working with cutting-edge technologies to develop and deploy machine learning models that will drive our business forward. If you are passionate about machine learning and have the skills to make a difference, we want to hear from you!

An Staff Machine Learning Scientist is a professional who is responsible for developing and deploying machine learning models to solve complex business problems. They are responsible for researching, designing, and implementing machine learning algorithms and models to improve the accuracy and efficiency of data-driven decision making. They must have a strong understanding of data science and machine learning principles, as well as the ability to communicate complex concepts to stakeholders. To become an Staff Machine Learning Scientist, one must have a bachelor's degree in computer science, mathematics, statistics, or a related field. Additionally, experience in programming languages such as Python, R, and SQL is beneficial.

Staff Machine Learning Scientist Skills required for Your Resume and Career include:

• Strong knowledge of machine learning algorithms and techniques
• Proficiency in programming languages such as Python, R, and SQL
• Ability to develop and deploy machine learning models
• Knowledge of data science principles and techniques
• Excellent communication and problem-solving skills
• Ability to interpret and analyze data
• Ability to work independently and collaboratively

Staff Machine Learning Scientist Knowledge for Your Resume and Career include:

• Knowledge of machine learning algorithms and techniques
• Understanding of data science principles and techniques
• Knowledge of programming languages such as Python, R, and SQL
• Understanding of data visualization and analysis
• Knowledge of software development and engineering principles
• Understanding of cloud computing and distributed systems

Staff Machine Learning Scientist Responsibilities for Your Resume and Career include:

• Developing and deploying machine learning models
• Researching and designing machine learning algorithms
• Analyzing and interpreting data
• Collaborating with stakeholders to identify business problems
• Developing and testing machine learning models
• Optimizing machine learning models for accuracy and efficiency
• Monitoring and evaluating machine learning models

Staff Machine Learning Scientist Experience for Your Resume and Career include:

• Experience in programming languages such as Python, R, and SQL
• Experience in developing and deploying machine learning models
• Experience in data analysis and visualization
• Experience in software development and engineering
• Experience in cloud computing and distributed systems
• Experience in machine learning algorithms and techniques

Staff Machine Learning Scientist Qualifications for Your Resume and Career include:

• Bachelor's degree in computer science, mathematics, statistics, or a related field
• Experience in programming languages such as Python, R, and SQL
• Knowledge of machine learning algorithms and techniques
• Knowledge of data science principles and techniques
• Excellent communication and problem-solving skills
• Ability to interpret and analyze data

Staff Machine Learning Scientist Educations for Your Resume and Career include:

• Bachelor's degree in computer science, mathematics, statistics, or a related field
• Master's degree in computer science, mathematics, statistics, or a related field
• Professional certifications in machine learning or data science
• Courses in machine learning, data science, and programming

Tools that help Staff Machine Learning Scientist work better include:

• Machine learning frameworks such as TensorFlow and Scikit-Learn
• Data visualization tools such as Tableau and Power BI
• Data analysis tools such as R and Python
• Cloud computing platforms such as AWS and Azure
• Distributed computing frameworks such as Hadoop and Spark

Good tips to help Staff Machine Learning Scientist do more effectively include:

• Stay up to date on the latest machine learning algorithms and techniques
• Utilize data visualization tools to better understand data
• Leverage cloud computing platforms to scale machine learning models
• Collaborate with stakeholders to identify business problems
• Develop and test machine learning models to optimize accuracy and efficiency

Common Staff Machine Learning Scientist interview questions include:

• What experience do you have in developing and deploying machine learning models?
• What programming languages are you proficient in?
• How do you ensure the accuracy and efficiency of machine learning models?
• What techniques do you use to interpret and analyze data?
• How do you collaborate with stakeholders to identify business problems?