Partner 16, Applied ML, Engineering, ASG

a16z•San Francisco, CA

3d•$269,000 - $314,000•Hybrid

About The Position

Founded in Silicon Valley in 2009 by Marc Andreessen and Ben Horowitz, Andreessen Horowitz (aka a16z) is a venture capital firm that backs bold entrepreneurs building the future through technology. We are stage agnostic. We invest in seed to venture to growth-stage technology companies, across AI, bio + healthcare, consumer, crypto, enterprise, fintech, games, and companies building toward American dynamism. a16z has $46B in assets under management across multiple funds. We’ve established a team that is defined by respect for the entrepreneur and the company-building process; we know what it’s like to be in the founder’s shoes. We’ve invested in companies like Affirm, Airbnb, Coinbase, Databricks, Devoted Health, Insitro, Figma, GitHub, Instacart, OpenSea, Roblox, Stripe, and Substack. Our team is at the forefront of new technology, helping founders and their companies impact and change the world. You will join a team of highly autonomous, senior ICs developing both software capabilities for the firm’s investing and operating functions, and external-facing products for the firm’s partners, portfolio, and investors. You will join a team of highly autonomous, senior ICs developing software capabilities for the firm’s investing and operating functions. This role specifically involves building, deploying, and monitoring machine learning models and pipelines that power our internal and external-facing applications. You will be responsible for the entire model lifecycle, from feature engineering and training to large-scale, low-latency serving and robust MLOps infrastructure. The Applied Software Group operates in the mode of an internal startup. We own an exceptionally tight feedback loop and take on requests from all corners of the firm. This is a high-visibility role that requires a clear architectural vision, strong software engineering fundamentals, exacting communication skills, and the ability to engage and educate our firm on the technology we are developing and shipping. The preferred location for this role is San Francisco, CA.The role expects an in office presence at least 2-3 days a week.

Requirements

2+ years of professional experience as a Machine Learning Engineer or similar role.
Strong mathematical intuition and problem-solving skills
Expertise in Python and its statistical modeling ecosystem (e.g. NumPy, scikit-learn, etc.)
Solid experience with major ML frameworks like PyTorch, TensorFlow, or JAX
Proven experience deploying and managing ML models in a production environment using tools like Kubeflow, MLflow, Airflow, or TFX
Strong understanding of containerization technologies (e.g., Docker, Kubernetes/GKE) as applied to ML serving
Familiarity with cloud computing environments (preferably GCP), including data storage and compute services
Low ego, high empathy, and the capacity to collaborate effectively with diverse teams

Responsibilities

Design, build, and maintain scalable and reliable ML production pipelines (data, training, and inference).
Collaborate with the Applied Software Group (ASG) team to integrate ML models into user-facing products serving the investing partnership and our operating teams
Implement MLOps best practices, including version control, automated testing, continuous integration/continuous deployment (CI/CD) for ML artifacts, and monitoring for drift and performance
Research and implement model serving strategies (e.g., real-time APIs, batch processing) to meet strict latency and throughput requirements
Contribute to the selection and development of our core ML infrastructure, leveraging cloud-native solutions primarily on GCP
Work independently with guidance as needed, advocate for yourself, and own the team’s success
Write elegant, principled logic that is both powerful and easy to understand
Bring positive energy in every interaction with the team and foster inclusive collaboration
Learn the inner workings of VC and work closely with the investing partnership

Benefits

This role is eligible to participate in the a16z carry program and various discretionary bonus programs as well as benefit and perquisite plans including health, dental, vision, disability, life insurance, 401K plan, vacation, and sick leave.

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