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About the Role
As a Member of Technical Staff, Machine Learning, you will build core ML components and work on real production systems from day one, learning how large-scale ML behaves outside of research settings. This role is for engineers who want to develop strong systems judgment by shipping, debugging, and iterating on real-world ML.
Responsibilities
- Build and improve ML components across data, training, evaluation, and inference.
- Fine-tune and adapt models as part of larger production systems.
- Implement evaluation and testing to understand model behavior.
- Help build and maintain data pipelines for real-world and synthetic data.
- Debug model issues, performance problems, and production incidents.
- Ship improvements iteratively and learn from real user feedback.
- Work closely with senior ML engineers and product teams.
- Work under real production constraints: latency, cost, reliability, and safety.
Requirements
- Strong foundations in machine learning and modern neural architectures.
- Artificial Intelligence (AI) experience required.
- Some hands-on experience training, fine-tuning, or deploying ML models.
- Comfortable writing production-quality code and learning new tools quickly.
- Curious, coachable, and eager to learn from real systems in production.
- Able to work through ambiguity with guidance and grow ownership over time.
- Bias toward shipping, iteration, and continuous improvement.
Skills
- GPU
- JAX
- ML
- Machine Learning
- Python
- PyTorch
Location
- San Francisco, CA
- Remote
Work Type
- Work From Home
- Remote
Salary/Compensations
- USD 160000 - USD 190000 - yearly
Benefits
- medical insurance
- Dental
- Vision
- Savings Plan Options
- PTO