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Research Engineer Phd Jobs in California (NOW HIRING)

Position: Human Baseliner for Open-Ended ML Research Tasks Type: Contract Compensation: $75-$90 ... Time in a PhD program counts. * Attended a top-100 university or worked at FAANG or a comparable ...

Preferred Qualifications * BS, MS or PhD degree in Computer Science, Robotics, Engineering or a ... Deep technical knowledge, and research experience in deep learning, reinforcement and/or imitation ...

Manage a team of research engineers. Qualifications ... Required : • Not afraid of formulas - a BSc/MSc/PhD is an indicator of this (but isn't the only ...

Preferred : • PhD in Computer Science, Computational Linguistics, or closely related field with focus on language models and adaptive learning systems. • Proven research and engineering ...

Research Engineer

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Hands-on experience in ML research or research engineering, industry or PhD-level academia * Proficiency in Python and PyTorch (or JAX), and the ability to implement models cleanly from papers

Research Engineer

Union City, CA · On-site

$123K - $206K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will conduct research and submit patent applications while ensuring flawless execution of ... PhD in Engineering * Familiarity with robot motion control and robotic intelligence devices such as ...

Research Engineer

Alameda, CA · On-site

$120K - $175K/yr

  • Medical

  • Dental

  • Vision

Typically 3+ years (flexible) as a research engineer/assistant or PhD-level researcher with demonstrated research achievements (papers, patents, prototypes). * Depth in at least one focus area above ...

They are seeking a highly motivated Research Engineer to advance mathematical theorem proving ... Preferred : • PhD in Computer Science, Mathematics, or a related field. • Experience in ...

AI Research Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Data ... PhD. or master's or relevant work experience from research teams in Machine Learning, Computer ...

Research Engineer

Union City, CA · On-site

$123K - $206K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will conduct research and submit patent applications while ensuring flawless execution of ... PhD in Engineering * Familiarity with robot motion control and robotic intelligence devices such as ...

PhD in Computer Science, Computational Linguistics, or closely related field with focus on language models and adaptive learning systems * Proven research and engineering experience with LLMs/VLMs ...

Research Engineer

San Francisco, CA · On-site +1

$122K - $215K/yr

Bonus/nice to have: - Master/PhD in machine learning, computer science, engineering, or a related ... with research teams to implement and validate deep learning models. - Solid experience with ...

The qualified Research Engineer will be part of a strong team of scientists and engineers in our ... Basic Qualifications Masters or PhD in Engineering, Physics, Mathematics, or related scientific ...

Research Engineer

San Francisco, CA · On-site +1

$122K - $215K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Bonus/nice to have: - Master/PhD in machine learning, computer science, engineering, or a related ... with research teams to implement and validate deep learning models. - Solid experience with ...

Research Engineer

San Diego, CA · On-site

$87K - $157K/yr

Basic Qualifications • Masters or PhD in Engineering, Physics, Mathematics, or related scientific ... research documentation, task planning and scheduling. • Current US Government Top Secret security ...

We are in search of passionate Research Scientists with a specialization in Computer Vision to ... A Master's or PhD in Computer Science, Engineering, or a related field * 1-3 years of experience in ...

PhD degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or ... Apply advanced machine learning models and research to solve high-impact, real-world problems ...

Research Engineer

San Francisco, CA · On-site

$100K - $200K/yr

The Opportunity As a Research Engineer, you'll work on multimodal sensing systems and sensor fusion ... Master's or PhD in robotics, computer vision, sensing systems, or related fields * Published ...

As an AI Research Engineer, you will conduct original research in automated reasoning and AI-driven ... Degree in Computer Science or a closely related technical field (BS, MS, or PhD) • Independence:

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Showing results 1-20

Research Engineer Phd information

See California salary details

$36.5K

$104.6K

$140.6K

How much do research engineer phd jobs pay per year?

As of Aug 17, 2026, the average yearly pay for research engineer phd in California is $104,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,600.00 and $102,600.00 per year, depending on experience, location, and employer.

What is the difference between Research Engineer Phd vs Research Scientist?

AspectResearch Engineer PhdResearch Scientist
Required CredentialsPhD in relevant field, advanced technical skillsMaster's or PhD, strong research background
Work EnvironmentLabs, R&D departments, technical project teamsAcademic, corporate R&D, government agencies
Employer & Industry UsageTech companies, engineering firms, research institutionsUniversities, research labs, industry R&D
Common Search & ComparisonOften compared for research roles requiring engineering expertiseBroader research roles, academic positions

Research Engineer Phd and Research Scientist roles both require advanced degrees and involve research activities. However, Research Engineer Phd positions typically focus on applied engineering projects within industry settings, emphasizing technical development and innovation. Research Scientists often work in academic or research institutions, focusing on fundamental research and scientific discovery. The choice depends on whether you prefer industry-focused engineering work or academic research pursuits.

What is a research engineer PhD?

A Research Engineer PhD is a professional who has completed a doctoral degree (PhD) and works on developing innovative solutions, conducting advanced experiments, and pushing the boundaries of technology or science. They often work in academic, industrial, or government research settings, applying deep technical expertise to solve complex problems. Their responsibilities typically include designing experiments, analyzing data, publishing findings, and sometimes collaborating with product development teams. Research Engineer PhDs are valued for their ability to combine scientific research with practical engineering applications.

What opportunities for interdisciplinary collaboration can a research engineer PhD expect in a typical organization?

As a Research Engineer with a PhD, you will frequently collaborate with professionals from various disciplines, such as data scientists, software developers, and product managers. This interdisciplinary work is essential for translating research into practical applications and advancing innovative projects. You can expect to contribute your expertise in scientific methods and advanced technical knowledge while gaining insights from colleagues in adjacent fields. Such collaboration not only enriches project outcomes but also broadens your professional skill set and fosters career growth.

What are the key skills and qualifications needed to thrive as a research engineer PhD?

To thrive as a Research Engineer PhD, you need advanced knowledge in engineering principles, research methodologies, and data analysis, typically supported by a doctoral degree in engineering or a related field. Expertise with simulation software, programming languages (such as Python or MATLAB), and familiarity with publishing tools or laboratory equipment is often required. Strong problem-solving abilities, creativity, and effective communication skills help distinguish top performers in this role. These skills and qualities are essential for driving innovation, producing publishable research, and effectively collaborating within multidisciplinary teams.

What are popular job titles related to Research Engineer Phd jobs in California?

For Research Engineer Phd jobs in California, the most frequently searched job titles are:

What job categories do people searching Research Engineer Phd jobs in California look for?

The top searched job categories for Research Engineer Phd jobs in California are:

What cities in California are hiring for Research Engineer Phd jobs?

Cities in California with the most Research Engineer Phd job openings:

Infographic showing various Research Engineer Phd job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $104,624 per year, or $50.3 per hour.

ML Research Engineer - PhD

Mercor

San Francisco, CA • Remote

$75 - $90/hr

Full-time

Re-posted 16 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.