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Tesla Researcher Jobs (NOW HIRING)

RADIATION ONCOLOGIST

Iowa City, IA Β· On-site

$193/hr

Research facilities for human subjects are tremendous including a 7-Tesla MRI scanner, a 3-Tesla MRI scanner, and a PET/CT scanner. Research facilities for small animals include an XStrahl Small ...

$116K - $270K/yr

Our design team spearheads the creation of cutting‑edge R&D facilities, cell production, and manufacturing infrastructure across Tesla's sites. This full‑time, onsite role within the ...

Staff Architectural Designer

Fremont, CA Β· On-site

$116K - $270K/yr

Our design team spearheads the creation of cutting‑edge R&D facilities, cell production, and manufacturing infrastructure across Tesla's sites. This full‑time, onsite role within the ...

Conduct in-depth fundamental research and financial modeling on US Energy stocks, Magnificent 7 names (Apple, Microsoft, Alphabet, Amazon, Nvidia, Meta, Tesla), and Semiconductor companies. * Develop ...

Conduct in-depth fundamental research and financial modeling on US Energy stocks, Magnificent 7 names (Apple, Microsoft, Alphabet, Amazon, Nvidia, Meta, Tesla), and Semiconductor companies. * Develop ...

Conduct in-depth fundamental research and financial modeling on US Energy stocks, Magnificent 7 names (Apple, Microsoft, Alphabet, Amazon, Nvidia, Meta, Tesla), and Semiconductor companies. * Develop ...

VP, Engineering

Palo Alto, CA Β· On-site

$212K - $273K/yr

They've now brought together a world‑class research team from DeepMind, Tesla, Waymo, Meta, Apple, and Wayve, who have made significant contributions to language models (DeepMind Gemini), video ...

They've now brought together a world-class research team from DeepMind, Tesla, Waymo, Meta, Apple, and Wayve, who have made significant contributions to language models (DeepMind Gemini), video ...

They've now brought together a world-class research team from DeepMind, Tesla, Waymo, Meta, Apple, and Wayve, who have made significant contributions to language models (DeepMind Gemini), video ...

OpenAI, Anthropic, DeepMind, FAIR / Meta GenAI, Thinking Machines, SSI, Tesla AI, xAI, Mistral ... Strong researcher: reads deeply, has taste, forms opinions, chooses important problems, and runs ...

AI Research Scientist

San Francisco, CA Β· On-site

$100K - $300K/yr

Unicorn, high-growth companies like Scale AI, Databricks, Stripe, Tesla, Coinbase * World class cybersecurity experts from Wiz, Abnormal AI, Zscaler * Preeminent research labs like Deepmind and SAIL ...

Showing results 41-60

Tesla Researcher information

See salary details

$30K

$113.1K

$164.5K

How much do tesla researcher jobs pay per year?

As of Sep 14, 2026, the average yearly pay for tesla researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Tesla Researcher jobs?

For Tesla Researcher jobs, the most frequently searched job titles are:

Infographic showing various Tesla Researcher job openings in the United States as of August 2026, with employment types broken down into 25% Full Time, and 75% Part Time. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Member of Technical Staff, TLM: Research Scientist

Palo Alto, CA β€’ On-site

Other

Re-posted 24 days ago


Job description

Who we are

Odyssey is an AI lab pioneering general world models: causal, multimodal systems that learn to predict and interact with the world over long horizons. This foundational technology promises to revolutionize robotics, science, healthcare, education, gaming, defense, and beyond.

Odyssey’s founders previously pioneered the most complex application of physical AI: self-driving cars. They’ve now brought together a world-class research team from DeepMind, Tesla, Waymo, Meta, Apple, and Wayve, who have made significant contributions to language models (DeepMind Gemini), video models (DeepMind Veo), world models (Wayve GAIA), and autonomous systems (Tesla FSD).

Odyssey has raised significant venture capital from GV, Amazon, AMD, EQT, NVIDIA, Natural Capital, In‑Q‑Tel, Elad Gil, Jeff Dean, Guillermo Rauch, Garry Tan, Kyle Vogt, and researchers from OpenAI, DeepMind, MSL, Recursive, and Thinking Machines.

What we’re looking for

As we scale our research ambitions, we need a scientist who doesn’t just execute on known problems but defines new ones. This TLM role sits at the intersection of deep technical research and scientific leadership: you’ll own a long‑horizon agenda, mentor a small group, and help shape what this field becomes.

What you’ll do
  • Define and drive original research into the foundational open problems of world modeling: temporal coherence, causal reasoning, long‑horizon prediction, and user‑intent alignment.

  • Move beyond diffusion and transformer paradigms β€” design novel architectures, learning objectives, and training frameworks that reframe what generative interactive video can do.

  • Build and mentor a small, high‑output research group, guiding work from hypothesis through experimental validation to prototype demonstration.

  • Translate foundational breakthroughs into stable prototypes in close collaboration with engineering. Not incremental improvements, but genuinely new capabilities.

  • Publish at top‑tier venues (NeurIPS, ICML, ICLR) and actively engage the broader research community to help Odyssey shape the direction of the field.

Who you are
  • A staff‑level or senior ML researcher with a strong publication record in generative modeling, video synthesis, multimodal learning, or adjacent areas.

  • Someone who works from first principles: you define the problem before reaching for a method, and you build minimal systems to prove what’s possible before scaling.

  • Motivated by understanding: you care about why models work, not just that they do.

  • Experienced leading or mentoring a small research group, with a track record of taking projects from open question to publication or deployment.

  • Comfortable in a focused, autonomous lab environment where deep thinking and tight collaboration are the norm.

  • Excited to help establish the scientific foundation of a new medium, one that will define how AI perceives and interacts through pixels over the next decade.

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