Member of Technical Staff, Platform Engineering

David Joseph & Company; San Francisco (CA); On-site; USD 200,000 - 250,000; Full time

Benefits offered by this job

Healthcare

Relocation support

401k with 4% match

Free meals

Gym

Transportation covered

Job summary

David Joseph & Company is seeking a founding Member of Technical Staff for platform engineering in San Francisco. You will own the RL environment infrastructure, build scalable inference pipelines, and help stand up the engineering org and its culture from scratch.

We expect 2-8 years in platform or full-stack engineering, with startup experience, and a track record delivering scalable ML tooling. On-site five days a week with equity and strong healthcare benefits.

Qualifications

• 2-8 years of platform or full-stack engineering experience.
• Experience building RL environments or ML infrastructure.
• Experience at an early-stage startup or as a founder.
• Track record as a platform, full-stack, or backend engineer at fast-moving, high-growth companies.
• A degree in CS, ML, or a related technical field.
• Based in the Bay Area, or ready to relocate, and able to work on-site 5 days a week.

Responsibilities

• Build the training and inference infrastructure that supports customer usage of RL environments at scale.
• Research and develop next-generation RL environments that are more realistic, longer-horizon, and harder for frontier models.
• Ship tooling that dramatically increases the quality and throughput of environment creation.
• Design synthetic data pipelines that generate realistic problems.
• Build platform analytics for environment costs, throughput, bottlenecks, and expert management.
• Craft domain-specific verifiers and reward functions for financial workflows.
• Establish engineering practices and culture from the ground up.

Skills

Platform engineering

Full-stack engineering

Python

TypeScript

Docker

ML infrastructure

Education

CS/ML related degree

Tools

AWS

S3

Docker

Job description

About the Company

Our client is an early-stage, venture-backed AI startup building fully managed reinforcement-learning environments and benchmarks used to train computer-using agents for financial services. Their gyms teach AI agents to carry out real analyst and operator work - think spreadsheet modeling, presentation building, and trading workflows - and leading AI labs are already paying customers. They are growing fast and scaling the founding engineering team.

Founded 2024 - ~6 people - Industry: AI, Data, Financial Services, Enterprise

The Role

As a founding Member of Technical Staff on platform engineering, you will own the infrastructure behind the company's RL environments, develop increasingly realistic and long-horizon environments for frontier models, and help stand up the engineering org and its culture from scratch.

What you'll be doing

• Build the training and inference infrastructure that supports customer usage of RL environments at scale
• Research and develop next-generation RL environments that are more realistic, longer-horizon, and harder for frontier models
• Ship tooling that dramatically increases the quality and throughput of environment creation
• Design synthetic data pipelines that generate realistic problems
• Build platform analytics for environment costs, throughput, bottlenecks, and expert management
• Craft domain-specific verifiers and reward functions for financial workflows (e.g. presentation building, spreadsheet modeling, quantitative trading)
• Establish engineering practices and culture from the ground up

Tech stack: Python, TypeScript, Docker, AI coding tools; cloud (AWS, S3) a plus

Requirements

• 2-8 years of platform or full-stack engineering experience, ideally building RL environments or ML infrastructure
• Time spent at an early-stage startup (pre-seed to Series A), or experience as a founder
• A track record as a platform, full-stack, or backend engineer at fast-moving, high-growth companies
• A degree in CS, ML, or a related technical field
• Demonstrated experience building scalable platforms for internal or external users (ML tooling, benchmarking, or agent products)
• A heavy user of AI coding tools who ships at high velocity
• Based in the Bay Area, or ready to relocate, and able to work on-site 5 days a week

Nice to Haves

• Big-tech experience earlier in your career before moving to a startup
• Hands-on experience building RL environments, evals, or benchmarks for AI agents
• Background in, or strong interest in, fintech or financial services
• Experience designing domain-specific verifiers or reward functions

Why Join

• Frontier AI labs are already paying customers, with fast-growing revenue and momentum
• True founding ownership over platform engineering and the engineering org you'll help build
• Strong benefits for the stage: fully covered healthcare, relocation support, 401k with a 4% match, free meals, gym, and covered transportation

Details

• Location: San Francisco, CA
• Work policy: On-site, 5 days a week
• Compensation: $200K-$250K + equity
• Visa sponsorship: Open to visa transfers (e.g. OPT, H-1B transfers)
• Employment type: Full-time