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Remote Automotive Research Engineer Jobs in California

talentpluto

Research Engineer

San Francisco, CA · On-site +1

$140K - $250K/yr

Location: Remote (United States) Work Model: Remote Industry: AI training data infrastructure ... As a Research Engineer, you will build the automated systems that verify and assure data quality so ...

Waabi

Research Engineer

San Francisco, CA · On-site +1

$122K - $215K/yr

Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. ... To learn more visit: www.waabi.ai As a Research Engineer, you will be at the forefront of advancing ...

Waabi

Research Engineer

San Francisco, CA · On-site +1

$122K - $215K/yr

Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. ... To learn more visit: www.waabi.ai As a Research Engineer, you will be at the forefront of advancing ...

Waabi

Research Engineer, World Models

San Francisco, CA · On-site +1

$155K - $269K/yr

Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. ... As a Research Engineer in the World Models team, you will develop algorithms and productionize the ...

Waabi

Research Engineer, World Models

San Francisco, CA · On-site +1

$155K - $269K/yr

Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. ... As a Research Engineer in the World Models team, you will develop algorithms and productionize the ...

Waabi

Research Engineer, World Models

San Francisco, CA · On-site +1

$155K - $269K/yr

Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. ... As a Research Engineer in the World Models team, you will develop algorithms and productionize the ...

Waabi

Research Engineer, Neural Rendering

San Francisco, CA · On-site +1

$134K - $235K/yr

Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. ... To learn more visit: www.waabi.ai As a Research Engineer in Neural Rendering, you will create the ...

Waabi

Research Engineer, Neural Rendering

San Francisco, CA · On-site +1

$134K - $235K/yr

Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. ... To learn more visit: www.waabi.ai As a Research Engineer in Neural Rendering, you will create the ...

Waabi

Research Engineer, Neural Rendering

San Francisco, CA · On-site +1

$134K - $235K/yr

Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. ... To learn more visit: www.waabi.ai As a Research Engineer in Neural Rendering, you will create the ...

Mercor

ML Research Engineer - PhD

San Francisco, CA · Remote

$75 - $90/hr

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 ...

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Remote Automotive Research Engineer information

What is the difference between Remote Automotive Research Engineer vs Remote Automotive Design Engineer?

AspectRemote Automotive Research EngineerRemote Automotive Design Engineer
Required CredentialsBachelor's or Master's in Mechanical, Electrical, or Automotive Engineering; relevant certificationsBachelor's or Master's in Mechanical or Automotive Engineering; CAD certifications
Work EnvironmentResearch labs, R&D departments, testing facilities (remote collaboration)Design studios, CAD software environments (remote design work)
Employer & Industry UsageAutomotive manufacturers, R&D firms, tech companiesAutomotive manufacturers, design consultancies, OEMs
Common Search & ComparisonYesYes

The Remote Automotive Research Engineer focuses on developing new technologies, testing, and analyzing automotive systems remotely. In contrast, the Remote Automotive Design Engineer primarily works on creating vehicle designs and CAD models remotely. Both roles require engineering backgrounds and often overlap in industry usage, but their core responsibilities differ—research versus design.

What are the most commonly searched types of Automotive Research Engineer jobs in California?

The most popular types of Automotive Research Engineer jobs in California are:

What cities in California are hiring for Remote Automotive Research Engineer jobs?

Cities in California with the most Remote Automotive Research Engineer job openings:

Remote Automotive Research Engineer jobs near you

Research Engineer

talentpluto

San Francisco, CA • On-site, Remote

$140K - $250K/yr

Full-time

Re-posted yesterday

Job description

Location: Remote (United States)
Work Model: Remote
Industry: AI training data infrastructure
Compensation: $140K-$250K base, plus equity
About the Company
Our partner is a YC-backed company building a new kind of marketplace in the AI training data space. Rather than operating as a labor marketplace, they provide infrastructure that lets data producers transform their existing data into formats AI labs want and sell it directly to those labs. This democratized model unlocks far more high-value data sources, and the team is growing quickly to keep up with demand.
The Opportunity
This is the company's top hiring priority and a genuinely hard research problem. Because data flows through a decentralized marketplace, ensuring quality at scale is the single biggest bottleneck to growth. As a Research Engineer, you will build the automated systems that verify and assure data quality so that suppliers consistently deliver excellent data to buyers.
You will start by digging into the data manually to understand failure modes, then design systems to automate quality checks at scale, combining rule-based approaches with AI for fuzzier cases and human-in-the-loop review where it makes sense. This is fundamentally a research role focused on building automated systems, not manual QA.
Responsibilities
  • Identify data quality issues including inconsistencies, formatting problems, and ingestion challenges
  • Perform initial manual data quality review to deeply understand failure modes
  • Build systems to automate quality checks at scale using rule-based and AI-driven approaches
  • Design hybrid systems that balance automation with human-in-the-loop review where appropriate
  • Continuously improve verification methods as the data landscape and AI tooling evolve
Requirements
  • Deeply technical, with a strong learning slope and the ability to ramp quickly in a fast-moving field
  • Background in AI/ML engineering, or software engineering at an AI-focused company with visible data ingestion and processing experience
  • Ability to reason about likely data quality problems from first principles
  • Comfortable owning ambiguous, open-ended problems end to end
  • Comfortable working in person, full-time, in a San Francisco office
  • Bonus: experience working with noisy or unstructured data, or judgment on when to use automation versus human-in-the-loop review

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