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Home Based Remote Research Engineer Jobs in California

Remote Commitment: 20+ hours/week Role Responsibilities * Attempt open-ended machine learning ... AI interview based on your resume * Submit form Resources & Support * For details about the ...

Senior Research Engineer - Video Agents

San Francisco, CA · On-site +1

$123K - $169K/yr

Where and how you can work Our head office is in Sydney, Australia, but San Francisco is now home ... LLM-as-judge, rubric-based eval, online quality metrics. * Open-source or published work in agent ...

Machine Learning Research Engineer

Emeryville, CA · On-site +1

$237K/yr

We're looking for an experienced Machine Learning Engineer to build and improve the models and ML ... Experience implementing or optimizing transformer-based architectures * Familiarity with cloud ...

We are based in India and USA and this position will be fully remote, working from home. You will ... world-class engineers, data scientists and clinical operations experts to reimagine the ...

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Home Based Remote Research Engineer information

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Infographic showing various Home Based Remote Research Engineer job openings in California as of June 2026, with employment types broken down into 59% Full Time, 38% Part Time, 1% Temporary, and 2% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution.

ML Research Engineer - PhD

Mercor

San Francisco, CA • Remote

$75 - $90/hr

Full-time

Re-posted 18 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Human Baseliner for Open-Ended ML Research Tasks
Type: Contract
Compensation: $75–$90/hour
Location: Remote
Commitment: 20+ hours/week

Role Responsibilities

  • Attempt open-ended machine learning research tasks under a fixed time and compute budget.
  • Work independently in a sandboxed Linux environment with internet access.
  • Use preferred tools, including IDEs and AI coding assistants like Cursor, Claude Code, and ChatGPT.
  • Record full working sessions via screen recording.
  • Complete pre-task and post-task questionnaires.
  • Submit final work product, screen recording, and completed questionnaires for evaluation.

Qualifications

Must-Have

  • 3+ years of machine learning experience. Time in a PhD program counts.
  • Attended a top-100 university or worked at FAANG or a comparable company.
  • Experience with PyTorch, JAX, or TensorFlow.
  • Deep expertise in at least one focus area: pretraining, PPO, reward shaping, fine-tuning, LoRA, RLHF, architecture design, contrastive training, generative modeling, multilingual experience, or data pipelines.

Required Domain Expertise

  • Practical experience in Pretraining, Reinforcement learning, Post-training, Dataset curation, or Model architecture.

Logistics

  • One baseline attempt per contractor per task.
  • Each task may only be attempted once.
  • All work is confidential and covered by NDA.
  • Compute and environment are provided; no personal GPU required.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.