Machine Learning Engineer – Frameworks
| Company | Woven |
|---|---|
| Location | Palo Alto, CA, USA, Ann Arbor, MI, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Mid Level, Senior |
Requirements
- BSc / BEng (MS / PhD nice-to-have) in Machine Learning, Computer Science, Robotics or related quantitative fields, or equivalent industry experience
- Experience with Python, PyTorch/Tensorflow, and software engineering best practices
- Experience covering machine learning workflows, data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization
- Comfortable in writing C++ code to help integrate with our autonomous vehicle platform
- Deep understanding of runtime complexity, space complexity, distributed computing, and the application of these concepts in concrete, distributed ML training and evaluation
- Experience working with temporal data and/or sequential modeling
- Strong communication skills with the ability to communicate concepts clearly and precisely
Responsibilities
- Develop foundational ML components to improve speed and ease of development of advanced machine learning models specifically tailored for autonomous vehicles utilizing deep learning and large-scale data
- Deploy extensible, scalable and efficient ML data curation, training and evaluation cloud pipelines
- Analyze model performance metrics, model failure modes, statistical relevance of datasets, etc. to guide the overall ML engineering effort
- Integrate modern technologies with rigorous safety standards while maintaining cost efficiency
- Significantly contribute to the development of needed components for end-to-end ML training and deployment, from data strategy to optimization and validation
- Operate cross-functionally and serve a dual hat role in identifying opportunities to improve production models while also trailblazing and generalizing involved methods and toolings to empower others
- 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
- Work in a hybrid workspace, with the requirement to be present in our Nihonbashi (Japan), Palo Alto (California), or Ann Arbor (Michigan) offices three days per week
Preferred Qualifications
- Experience with deep learning approaches such as supervised/unsupervised learning, transfer learning, multi-task learning, and/or deep reinforcement learning
- 2+ years of experience with Apache Spark, Airflow, Flyte, Flink, Ray, or similar ML pipelines technologies
- Experience deploying and tuning ML models onto custom edge hardware in robotics applications
- Previously worked at, or in close collaboration with ML Research Engineers to deliver a solid software foundation that other ML Engineers can build on
- Proven track record of deploying ML models at scale in self-driving or related fields
- Familiarity with production-level coding in time-limited task schedules
- Experience in self-driving, robotics, computer vision, or motion planning
Benefits
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No information provided on Benefits.