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Machine Learning Scientist Jobs in British Columbia

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 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
Intermediate Machine Learning Developer
By Weir Motion Metrics At Vancouver, British Columbia, Canada
Setup the development pipeline including data management and deployment through continuous integration scheme.
Design and implement proprietary machine learning algorithms and optimize them based on runtime system requirements and constraints.
3+ years of hands-on experience in developing and implementing and evaluating machine learning models algorithms.
Solid Experience with TensorFlow, PyTorch and OpenCV.
Strong analytical, communication and presentation skills.
Review the literature for the state-of-the-art computer vision and machine learning methodologies.
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
Machine Learning Applied Scientist
By Prenuvo At Vancouver, British Columbia, Canada
We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family
3+ years of industry experience in machine learning or related field
Experience with unsupervised learning techniques such as autoencoders, generative models, and contrastive learning
Experience with label noise mitigation techniques, such as co-teaching or mentor-guided learning
Experience with diffusion denoising techniques
Strong programming skills in Python and proficiency with popular machine learning libraries such as PyTorch or TensorFlow

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