Datology AI

Help us solve the biggest problem in AI model training

Feeding models low-quality data hurts performance. Join a world-class team solving the frontier research problem that sets the best models apart from the rest.

Careers Hero

Companies can't afford to waste resources on bad data. Our job is to help them train better models with less. That takes researchers and engineers who think like scientists, build like craftspeople, and solve problems.

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What drives us


Every dataset we curate is the foundation for models that millions of people will use. When we identify the right data points and filter out the noise, we're empowering companies to build more reliable, capable models.




Our values in action

Be customer-obsessed

Our mission is to democratize data research. To achieve it, we must be deeply focused on our customers’ problems and goals. Their success is our success.

Prioritize ruthlessly

With limited bandwidth, we focus only on the most important directions. There will always be more good ideas than we can pursue. Focus is everything.

Bold bets, fast learning

We invest in audacious ideas knowing many will fail. Failure is valuable if it helps us learn, improve, and avoid repeating mistakes.

Experiment relentlessly

We act like scientists: make hypotheses, test them, and ship only what the data supports. We share our learnings broadly.

Take ownership and do the dirty work

We own the hard, unglamorous work when it matters most. Often the “boring” work is the most critical. And we always trust the data.

Many minds, one mission

Collaboration makes us stronger than any one idea. We build for team velocity, not just individual speed. To go far, we go together.

Have the kindness to say hard things

We face conflict with honesty and empathy. We don’t shy away from tough feedback but always deliver it with respect.

Engineering and research

Engineering at scale


At DatologyAI, our engineering team is building systems that unlock the full potential of data for state-of-the-art ML models. We thrive at the intersection of research and real-world impact, where the scale of data makes research and engineering inseparable. We use the full spectrum of computer science to solve fascinating problems, from architecting distributed systems to designing data curation algorithms that push model performance to new heights.

Every day brings experimentation, scaling, and discovery as we tackle some of the most complex challenges in data and systems. Join us if you're excited by hard problems and world-class teammates who inspire you to build something extraordinary.

Research with impact


At DatologyAI, science is at the heart of everything we do. Data curation for foundation-scale deep learning is a frontier research problem. Training data ultimately determines the limits of what today’s most powerful models can achieve.

Our research directly powers our core product. To remain competitive and create products that truly sing,—we need to consistently push the boundaries of what’s possible with intelligent interventions on training data. Every new method we develop can improve model efficiency, capability, and reliability.

That’s why we’re building a culture where research thrives. We believe the best ideas come from talented scientists who want to see their ideas have real-world impact. At DatologyAI, your research won’t just live in a bibliography, it will be deployed in production environments, shaping how some of the most advanced AI systems in the world are trained.

Why our team loves working at DatologyAI

Josh WIlls
I joined Datology because it's the closest thing I've found to a playground for the hardest problems in data and systems. I get to use all of computer science to tackle some of the most fascinating research questions in the world. Every day is a mix of hacking, scaling, and discovery, and I'm having a ridiculous amount of fun doing it.

Josh Wills, Member of Technical Staff

Kaleigh Mentzer
Because of the scale of the data, research and engineering are inseparable at Datology. I joined the team as a researcher to take on interesting problems that wouldn't be possible without such strong engineering teammates.

Kaleigh Mentzer, Member of Technical Staff

Alvin Deng
I joined Datology because I've spent years as a practitioner/researcher watching ML systems fail silently in production due to poor training data quality, an invisible headache that costs the industry billions and slows real progress.

Alvin Deng, Member of Technical Staff

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Life at Datology

We know the journey matters. We celebrate wins, recharge with off-sites and team bonding events, and keep the work fun. This is where you grow fast, make an impact, and enjoy the ride with people just as driven as you.

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What we offer

We care deeply about our team. Our benefits package is designed to support your well-being and help you grow personally and professionally.

  • 01.100% covered health benefits (medical, vision, and dental).
  • 02.401(k) plan with a generous 4% company match.
  • 03.Unlimited PTO policy
  • 04.Annual $2,000 wellness stipend
  • 05.Annual $1,000 learning and development stipend.
  • 06.Daily lunch and snacks, plus dinner if you’re working late.
  • 07.Relocation assistance for employees moving to the Bay Area

How to join our team

Our interviews feel like a conversation, a chance for you to learn about us while we get to know you. The process varies depending on the role, but you can expect:

01

Initial conversation

An opportunity for us to learn about your background, interests, and career goals, and for you to learn more about Datology. Together, we’ll explore whether there is a strong mutual fit.

02

Technical interviews

Role-specific sessions that may include coding challenges, system design, or a deep dive into your expertise. These conversations give you the chance to demonstrate your skills and approach to solving complex problems.

Onsite interview
03

Onsite interview

A comprehensive set of interviews designed to assess collaboration and technical ability. This typically includes coding, system design, and a behavioral conversation with our leadership team about your career journey.

Throughout the process, we are mindful of your time and committed to open communication. Our goal is 
to create a thoughtful experience where you can showcase your strengths and get a real sense of what it is like to work with us.

Open positions

Explore our current openings and find your next opportunity.

Filters:
Machine Learning Engineer
EngineeringRedwood CityFull-time
Software Engineer, Data Infrastructure
EngineeringRedwood CityFull-time
Software Engineer, Frontend
EngineeringRedwood CityFull-time
Software Engineer, Infrastructure
EngineeringRedwood CityFull-time
Software Engineer, Training & Inference Infrastructure
EngineeringRedwood CityFull-time
Technical Recruiter
G&ARedwood CityFull-time
Research Scientist, Post-Training
ResearchRedwood CityFull-time
work

Don't see
your role?

If you're interested in helping us democratize data curation but don't see a match today, send a note at careers@datologyai.com. We'll reach out if something opens up that fits your skills and experience.