Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (AI): Architecting, building, and maintaining scalable and reliable ML production pipelines and integrating ML models into user-facing products. With an accent on MLOps standards, model serving strategies, and driving the technical roadmap for core ML infrastructure. Focus on solving complex challenges in data, training, inference, and ensuring high performance and reliability of ML systems.

Location: This role requires an in-office presence 2-3 days a week in our San Francisco, CA office.

Salary: $362,000 - $422,000

Company

hirify.global is a venture capital firm that backs bold entrepreneurs building the future through technology, with $90B under management across multiple funds.

What you will do

• Architect, 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.
• Set and evolve MLOps standards, including producibility, automated testing, CI/CD, observability, and model governance.
• Research and lead the implementation of model serving strategies to meet strict latency and throughput requirements.
• Drive the technical roadmap for core ML infrastructure, primarily on GCP.
• Operate with high autonomy, owning outcomes end-to-end, and raising the technical bar for the team.

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).
• 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 and familiarity with cloud computing environments (preferably GCP).

Culture & Benefits

• Eligible to participate in the a16z carry program and various discretionary bonus programs.
• Comprehensive benefits plan including health, dental, vision, disability, life insurance, 401K plan, vacation, and sick leave.
• Work within a team that values respect for the entrepreneur and company-building process.
• Foster inclusive collaboration and positive energy.
• Opportunity to learn the inner workings of VC and work closely with investing partners.
• Company culture focused on long-term relationships and betting on the future.