Senior Machine Learning Engineer designing and developing generative AI systems for Adobe Firefly Services. Collaborating with other engineering teams on innovative solutions and optimizing performance in large - scale environments.
WT
Hybrid Senior/Staff Machine Learning Engineer, Behavior Planning – Prediction
Posted 4 months ago
About the role
- Machine Learning Engineer working with Woven by Toyota on autonomous vehicle technology and innovative ML models.
Responsibilities
- Drive high-impact projects by defining the technical roadmap and inspiring cross-functional alignment toward shared success
- Lead the design and development of advanced machine learning models specifically tailored for autonomous vehicles utilizing deep learning and large-scale data analysis
- Deploy scalable and efficient ML models on our autonomous vehicle platform
- Integrate modern technologies with rigorous safety standards while maintaining cost efficiency
- Significantly contribute to development of needed components for end-to-end ML training and deployment, from data strategy to optimization and validation
- Be a champion of the scientific method and critical thinking in inventing state-of-the-art deep learning solutions
- Work in a high-velocity environment and employ agile development practices
- Collaborate closely with teams such as Perception, Motion Planning, Simulation, Infrastructure, and Tooling to drive unified solutions
Requirements
- MS or PhD in Machine Learning, Computer Science, Robotics or related quantitative fields, or equivalent industry experience
- 5+ years of experience with Python, any major deep learning framework, and software engineering best practices
- Comfortable in writing C++ code to help integrate with our autonomous vehicle platform
- 5+ years of experience with deep learning approaches such as supervised/unsupervised learning, transfer learning, multi-task learning, and/or deep reinforcement learning
- 5+ years of experience covering machine learning workflows, data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization
- Strong leadership skills to influence others and the team's technical strategy
- Strong communication skills with the ability to communicate concepts clearly and precisely
Benefits
- Competitive Salary - Based on experience
- Work Hours - Flexible working time
- Paid Holiday - 20 days per year (prorated)
- Sick Leave - 6 days per year (prorated)
- Holiday - Sat & Sun, Japanese National Holidays, and other days defined by our company
- Japanese Social Insurance - Health Insurance, Pension, Workers’ Comp, and Unemployment Insurance, Long-term care insurance
- Housing Allowance
- Retirement Benefits
- Rental Cars Support
- In-house Training Program (software study/language study)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Machine Learning Engineer developing AI solutions for IDEXX's Data & AI Center of Excellence. Designing and implementing machine learning models and systems while collaborating with cross - functional teams.
Product - minded Machine Learning Engineer at Arcade crafting generative models and solutions. Collaborating across design, engineering, and product to create innovative content features.
Senior Software Engineer innovating with Generative AI solutions for cutting - edge network management. Oversee software development lifecycle and collaborate with cross - functional teams.
AI/ML Engineer applying AI/ML techniques in hardware manufacturing for yield prediction and process improvement. Collaborating on research and deployment of machine learning models.
Senior Machine Learning Engineer developing advanced ML and NLP solutions for Forrester’s conversational AI chatbot. Collaborating with cross - functional teams to deliver scalable, production - ready ML systems.
Machine Learning Engineer designing GPU computing kernels to optimize 3D GenAI models at Meshy. Collaborating with researchers to enhance performance and efficiency in GPU module development.
Senior Software Engineer developing scalable machine learning solutions for product - driven team at Maropost. Collaborating on recommendation systems and enhancing developer experience within the Machine Learning team.
Principal MLOps Engineer leading design and optimization of machine learning infrastructure at Wood Mackenzie. Collaborating with data science and engineering teams to ensure robust automated ML lifecycles.
AI Engineer with expertise in Machine Learning for Periferia IT Group. Integrating generative AI models and developing solutions in a hybrid work environment.