Machine Learning Engineer designing and implementing AI systems focused on Japanese language challenges at Woven by Toyota. Involves technical R&D, system design, and collaboration with cross - functional teams.
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Hybrid Machine Learning Scientist – 1 year term
Posted 3 months ago
About the role
- Machine Learning Scientist at Amii, responsible for leading applied ML projects and mentoring junior team members. Advancing ML research and client capabilities in a collaborative environment.
Responsibilities
- Reporting to the Lead Machine Learning Scientist, the Machine Learning Scientist serves as a key member in maintaining Amii's reputation for scientific excellence and providing insight into their area of expertise.
- Responsible for the delivery of innovative solutions to Amii's industry partners by leading applied ML projects and mentoring junior team members.
- Work with Amii clients to advance their ML projects and capabilities.
- Serve as a subject matter expert to guide and support organizational initiatives.
- Support the advancement of ML research and development in both industry and academia.
- Mentor junior team members to help them achieve their goals and advance their professional growth.
Requirements
- Masters in Computer Science with a specialization in Machine Learning or related field with relevant applied experience in Machine Learning
- 2+ years experience developing, training, and evaluating machine learning models in an industrial setting
- 1+ years experience in a leadership capacity in industry or academic setting (nice to have)
- Proficient in Python, experience in other programming languages i.e. Java or SQL (nice to have)
- Proficient with machine learning tools and frameworks such as Scikit-learn, Pytorch/Tensorflow, Pandas, Optuna, Wandb, lightgbm/XGBoost, and SciPy
- Publication record in peer-reviewed academic conferences or relevant journals
- Ability to explain complex technical concepts clearly to non-technical audiences
- Thorough understanding of the strengths and weaknesses of a range of ML techniques across supervised learning, unsupervised learning, and reinforcement learning
- Experience leveraging cloud based tools for ML model building and deployment
Benefits
- A professional yet casual work environment that encourages the growth and development of your skills
- Participate in professional development activities
- Gain access to the Amii community and events
- A chance to learn from amazing teammates who support one another to succeed
- Competitive compensation, including paid time off and flexible health benefits
Job title
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Not specified
Degree requirement
Tech skills
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