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Online Fastapi Developer Jobs in California (NOW HIRING)

... online reinforcement learning - Reward models, rule-based verifiers and outcome-based rewards ... Python, FastAPI, async jobs, containers AND * Ideally knows biology, although curiosity and the ...

Implement robust offline and online evaluation frameworks to measure model performance and business ... Experience with backend frameworks such as FastAPI, Flask, or Django. Must‑Have Requirements

ML Platform Engineer

Los Angeles, CA · On-site

$200 - $250/hr

You'll standardize our deployment patterns built around MLflow, Dagster, ECR, FastAPI, and EKS ... Develop shared batch and online serving for tabular, vision, document-AI, scheduling, graph, and ...

ML Platform Engineer

Los Angeles, CA · On-site

$170K - $300K/yr

You'll standardize our deployment patterns built around MLflow, Dagster, ECR, FastAPI, and EKS ... Develop shared batch and online serving for tabular, vision, document-AI, scheduling, graph, and ...

Senior Software Engineer

San Mateo, CA · On-site

$160K - $180K/yr

Proficiency in Python and Java, with experience in modern frameworks (e.g., Flask/FastAPI, Spring ... The hiring process for this role may consist of applying, followed by a phone screen, online ...

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Infographic showing various Online Fastapi Developer job openings in California as of July 2026, with employment types broken down into 84% Full Time, 5% Part Time, 2% Temporary, and 9% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Founding Engineer

San Francisco, CA • On-site

Other

Posted 7 days ago


Job description

We are hiring an ML Engineer or an AI Engineer to join Proteus in San Francisco/London.


Company Description: We are building a Biological Intelligence Platform for the autonomous discovery of personalised medicine. Our platform reasons over disease targets, designs therapeutic and diagnostic candidates, and continuously learns from experimental results.


P.S: Apply at https://proteusbio.ai/careers/ link your github/something you’re proud of building and why this role actually excites you.


We are looking for an:


ML Engineer — Policy Training

Preferred Experience:

 - PyTorch and Hugging Face: Transformers, TRL, Accelerate

 - SFT / instruction tuning

 - LoRA, QLoRA and PEFT

 - DPO / g-DPO for preference training

 - GRPO / PPO for online reinforcement learning

 - Reward models, rule-based verifiers and outcome-based rewards

 - Tool-use trajectory collection and credit assignment

 - Distributed GPU training: DeepSpeed, FSDP, mixed precision

- Model evaluation, checkpointing and experiment tracking


OR


AI Engineer

Preferred Experience:

 - LLM agents and tool calling

 - LangGraph/stateful workflow orchestration

 - RAG, memory and context engineering

 - Structured outputs and typed tool schemas

 - Agent evaluations, tracing and observability

 - Secure sandboxed code execution

 - Python, FastAPI, async jobs, containers


AND


  • Ideally knows biology, although curiosity and the ability to learn quickly matter more
  • Wants to leave the world better than they found it


Biology experience is valuable, but not required. We care more about what you have built, how you think, and whether you take ownership than where you went to school.


We are backed by Founders, Inc.


If this sounds like you, tell us about something you have built that you are proud of, and why this problem interests you.


If someone exceptional comes to mind, please send them our way. Pints on us if you land an interview, or if your recommendation does 🍻