Skip to content
Senior Machine Learning Engineer – Autolabeling
| Company | Woven |
|---|
| Location | Palo Alto, CA, USA |
|---|
| Salary | $140000 – $230000 |
|---|
| Type | Full-Time |
|---|
| Degrees | Master’s |
|---|
| Experience Level | Senior |
|---|
Requirements
- MS, or higher degree, in CS/CE/EE, or equivalent in industry experience.
- Extensive experience with ML model development
- Experience with ML frameworks such as PyTorch, Tensorflow
- Experience in machine learning workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization
- Strong programming skills in Python or C++
- Passionate about self driving car technology and its potential for humanity
Responsibilities
- Perform Perception, Computer Vision, Graph or Large Language ML model R&D by prototyping, validating and iterating on existing and new model architectures.
- Own development of new ML models end-to-end from data strategy, initial development, optimization, production platform validation, and fine tuning based on metrics and on road performance.
- Influence the overall autolabeling stack architecture and technical direction.
- Coach and mentor junior members of the team to write high-quality code, provide high quality design and code reviews, and deliver rigorous reports from ML experiments.
- Work in a high-velocity environment and employ agile development practices
- Collaborate with stakeholders in downstream customer teams to define interfaces and requirements for the Autolabeling stack, and deliver high quality and high impact products to the customers
Preferred Qualifications
No preferred qualifications provided.
