Full-Stack Software Engineer, Reinforcement Learning

New York, NY · full time

$300,000 – $405,000

Listed on Menlo Ventures Portfolio’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

This role builds the data collection, labeling, and training platforms that power Claude's reinforcement learning pipeline. It suits full-stack engineers who want to ship high-impact infrastructure for AI training at speed, combining backend systems with researcher-facing and vendor-facing UIs.

Our summary, not Menlo Ventures Portfolio’s wording. The full posting is on their site.

Skills this role names

What they ask for

Required

Strong full-stack software engineering fundamentals
Proficiency in Python
Proficiency in a modern web stack like React or TypeScript
Track record of shipping systems that solved hard problems
High agency and ability to drive work forward independently
Ability to communicate clearly with researchers, operations, and engineers

Nice to have

Experience building data collection, labeling, or annotation platforms at scale
Background building multi-tenant platforms with role-based access and vendor management
Experience with cloud infrastructure (GCP or AWS)
Familiarity with LLM training, fine-tuning, or evaluation workflows
Experience with async Python or high-throughput API design
Background in dashboards, monitoring, or observability tooling
Experience working directly with external vendors on technical integrations
Non-traditional background (e.g. math or physics into SWE, competitive programming, research into engineering)