Founding Engineer
San Francisco, CAFull-time$160–200K/yrSeen todayStill listed today
Most applications go out cold — see where you stand first. No sign-up to start.
You apply on the employer's site, with no Olive account needed.
Watch jobs like this. New roles like this one near San Francisco, CA, by email.
Don't just apply. Show up ready.
Olive works from this exact posting.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Job overview
Bayworks captures voice and video data as technicians repair cars, turning each repair into structured ground truth and building models to standardize dealership operations. The Founding Engineer will own repair data and models, build production AI products and evaluations, experiment with speech and language models, and spend time in service bays learning from technicians. The company reports growth to more than 80 dealerships in 110 days and is targeting 1,000 rooftops.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Overview Self-driving companies record every mile a car drives. Nobody records how it gets fixed. Repair expertise lives in technicians' heads: undocumented, unstructured, and disappearing as their shortage grows. Bayworks captures voice and video data as technicians repair cars and verifies the work. Every repair becomes ground truth for how cars get fixed: symptom, diagnosis, fix, outcome. This compounds into a system that runs the dealership's operations and standardizes every repair, making it faster and compliant with manufacturer specifications. Why now In 110 days, we've gone from 0 to 80+ dealerships covering 4,000 cars a day, including a top-50 US dealer group ($3B+ annual revenue) and have hit $XMn ARR. We know what's working. Now we need to get to 1000 rooftops / $10M ARR. To get there we need someone to own our data: turning every repair we capture into ground truth, and building the models that run on it. The data is there; you turn it into the product. World-class team We're engineers from BITS Pilani.
- Kaustubh (Founder & CEO) built voice AI at Sarvam (India's frontier AI lab) deployed across government and public enterprises, and before that worked in automotive retail lending with carmakers.
- Shubham (Founder & CTO) built the underwriting engine at Navi, a $2B fintech, powering $10M+ in loans every day, and the mobile app at Scapia, which scaled to millions of users.
Investors Backed by Y Combinator (F26) What you'll work on
- Turn raw voice, video and dealership data from every repair into structured ground truth: symptom, diagnosis, fix, outcome. This is a hands-on role; what you build ships to production
- Build the evals that tell us whether our AI got a repair right, and own the metrics we ship against
- Run experiments across speech and language models and decide what goes to production
- Build models on repair data that standardize the next repair: the likely diagnosis for a symptom, and what a fix needs to meet manufacturer specifications
- Spend time in service bays with technicians and feed back what you learn into the product
You can be a great fit if
- You've shipped ML or data products to production, not just notebooks
- You're comfortable with messy real-world data: noisy shop-floor audio, free-text repair notes, inconsistent dealership records
- You're strong in Python and SQL, and have built evals for LLMs, speech or multimodal models
- You move fast and don't overthink
- You care whether the model works in the service bay, not just on the benchmark
- You want to be at a company that's early enough that your work actually matters
Compensation
- This role includes: • 160K - 200K base salary
- Meaningful equity
- Medical, dental, and vision insurance
- Free DoorDash vouchers for everyday meals
About the interview
- 30 mins with the founders
- Assignment: a short take-home on a sample of real (anonymized) repair data
- Offer
How this job compares
Set against the 6,060 open Machine Learning Engineer jobs on Olive Jobs, counted November 5, 2026.
- Pay
- This posting$160–200K/yr
- California median$177–261K/yr1,365 salary ranges
- US median$150–245K/yr4,818 salary ranges
This range's midpoint, $180K, is 18% below the California median midpoint ($221K) — in the lowest quarter of Machine Learning Engineer salary ranges in California.
- Openings
- Olive Jobs lists 1,838 open Machine Learning Engineer jobs in California and 6,060 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 1 year of experience — less than three in four Machine Learning Engineer postings that state a minimum ask for (median 5 years, across 4,865 postings).
- Education
- 2,211 of the 6,060 open Machine Learning Engineer jobs (36%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
Prepare for this role
You've read the whole posting — now see how you match it.
