onsite
Partner, Applied ML Engineer, ASG - a16z
ML Engineer
Lead the development of advanced machine learning solutions, driving product innovation and scaling AI capabilities across portfolio companies using Python, TensorFlow, and AWS infrastructure.
About the role
Key Responsibilities
- Architect and deploy end‑to‑end ML pipelines that support data‑driven product decisions.
- Collaborate with engineering and product teams to translate business problems into scalable ML models.
- Mentor and grow a high‑performing ML engineering team, fostering best practices in experimentation and reproducibility.
- Advise portfolio companies on AI strategy, tooling, and talent acquisition.
- Ensure robust monitoring, governance, and compliance of deployed models in production.
Requirements
- 10+ years of experience in machine learning engineering, with a strong portfolio of production‑grade models.
- Proficiency in Python, TensorFlow (or PyTorch), and cloud services (AWS, SageMaker).
- Deep understanding of MLOps principles, CI/CD for ML, and model monitoring.
- Excellent communication skills and a proven track record of leading cross‑functional teams.
- Passion for emerging AI technologies and a desire to shape the future of venture‑backed startups.
Skills
pythontensorflowaws