Partner 16, Applied ML, Engineering, ASG
a16z(29 days ago)
About this role
A Machine Learning Engineer on a16z’s Applied Software Group builds, deploys, and monitors ML models and pipelines that power internal and external-facing products. The role owns the full model lifecycle—from feature engineering and training to large-scale, low-latency serving and MLOps infrastructure—and requires strong software engineering fundamentals and architectural vision. This is a high-visibility, startup-like team that collaborates closely with the investing partnership and expects a hybrid San Francisco presence (2–3 days/week).
Required Skills
- ML Production
- Feature Engineering
- Model Training
- Model Serving
- MLOps
- CI/CD
- Monitoring
- Python
- PyTorch
- TensorFlow
+8 more
About a16z
a16z.comAndreessen Horowitz (a16z) is a Silicon Valley venture capital firm that invests in bold founders and entrepreneurs building the future through technology. It backs companies across stages and sectors—consumer, enterprise, fintech, crypto/web3, biotech, and climate—providing capital plus operational support such as recruiting, marketing, policy, and technical expertise. Known for the thesis "Software Is Eating the World," a16z also produces research, podcasts, and content to support founders and shape industry discourse. The firm manages multiple funds and leverages a large network of operators, engineers, and investors to accelerate startup growth.
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