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Autoscience
Autonomous AI research systems that conduct peer-reviewed science
- —
- GCLTVPF+2
- San Mateo
- AI
Open roles at Autoscience
3 positions we're tracking, re-checked daily
Know when Autoscience is hiring before anyone else
A role stays uncontested for about four days. Here's the window, and where we put you in it.
From $5.99/week, cancel any time.
- live
- +2h+2hrole spotted & verified1
- +4h+4hyou get the alert1
- day 3day 3you've applied~8
- day 7+day 7+hits the job boards250+
What Autoscience is building
Autoscience is building AI systems that do science. Not AI that assists scientists: AI that autonomously runs experiments, interprets results, and iterates on machine learning models without human direction. They already have a published proof point, an AI agent that produced peer-reviewed research accepted at an ICLR 2025 workshop, which is the first instance of a fully autonomous system contributing to top-tier academic literature. The platform is designed to deploy inside enterprise environments, training and improving customer models as a continuous autonomous process, not a one-time fine-tune. Their approach is RL-native: post-training, fine-tuning, and reinforcement signals rather than retrieval or prompt engineering.
Why this matters
The AI research bottleneck has always been human bandwidth. The best ML teams at Google, Meta, and Anthropic can run a few dozen experiments a week. Autoscience is betting that the same process, designed, hypothesised, tested, and written up, can be automated to run thousands of experiments in parallel. This isn't a distant bet: the ICLR acceptance proves the output already clears the bar for scientific peer review. General Catalyst leading the round is significant because their thesis in AI is infrastructure-layer companies, not just application wrappers. Toyota Ventures adds a dimension most miss: autonomous experimentation is directly applicable to materials science, battery chemistry, and powertrain optimisation. That portfolio alignment signals that Autoscience is already in conversations with industrial R&D customers, not just AI labs.
Investors: General Catalyst (lead), Toyota Ventures, Perplexity Fund, MaC Ventures, S32
Working at Autoscience
Autoscience is a AI company based in San Mateo. For a AI company this size, the reality is opportunity to shape your role based on the company stage.
Most Autoscience jobs are based in San Mateo.
How to actually get hired at Autoscience
Why applying the normal way doesn't work
Autoscience has an ATS but the real pipeline is referrals → sourced → recruiter picks → cold apps. You can still get through, but know where you stand.
Who to contact at Autoscience
- Who decides
- the hiring manager
- Best channel
- LinkedIn or direct email
What to show them
As Autoscience onboards enterprise customers, someone needs to sit between the autonomous research system and the client's ML team, translating what the AI is doing into language that a VP of Engineering can understand and trust. This role doesn't exist in their current job listings but becomes critical the moment they have more than two or three enterprise clients running parallel workloads. Core skills: ML product management, experiment tracking (MLflow, Weights & Biases), technical writing, enterprise stakeholder management, Python, LLM fine-tuning concepts, reinforcement learning literacy Proof of work: Write a one-page "autonomous research briefing" as if you're the product interface between Autoscience's system and a Toyota R&D team evaluating it for battery chemistry research. What would you report weekly? What decisions would you surface to the human team? Post it publicly or share it cold.
A cold email that works at Autoscience
What Autoscience screens for
Two roles are live right now on their Ashby portal: ML Research Scientist ($200K-$300K) and Software Engineer, both on-site in San Mateo. These were posted in September 2025 and refreshed in January 2026, so they've been looking for a while and haven't filled them easily. That tells you two things: the bar is high, and the team is small enough that they haven't needed to compromise yet. The $14M from General Catalyst is the signal that headcount is about to accelerate. The press release describes an "autonomous research systems" roadmap that requires customer-facing infrastructure, deployment tooling, and GTM capabilities that a two-person founding team cannot build alone. Eliot Cowan has spoken publicly about working directly with the ML Research Scientist on building the core autonomous pipeline, which suggests the next technical hire has exceptional founder-proximity.
Don't send a generic CV to Autoscience. Mirror the job posting's language to get past automated screening.
Don't make these mistakes
Framing your interest around the two live Ashby roles. Everyone applying for those found them on a jobs board. The advantage here is reaching out about a role that doesn't exist yet, with a proof of work that shows you already understand the problem. Lead with that. Generic AI enthusiasm and phrases like 'I'm passionate about the future of autonomous research' will be ignored immediately.
Mistakes that kill Autoscience applications
At people, a copy-paste CV is immediately obvious. It's an instant no.
Lead with their problem, not your ambition. Autoscience is focused on The AI research bottleneck has always been human bandwidth — show you understand that.
Don't apply and wait. The median AI application gets no response ever. One follow-up at day five roughly doubles reply rates.
Applying to Autoscience? Get the contact, not the form.
The Autoscience interview process
We don't yet have verified candidate reports for Autoscience. What follows is the typical process for a -person AI company, so treat it as a model, not confirmed detail.
Interview stages
- 1
Recruiter Screen
Phone or video · 30 min
What it testsBasic qualification and logisticsUsually run byRecruiter or HR - 2
Hiring Manager Interview
Video call · 45 min
What it testsRole fit and experience deep-diveUsually run byHiring manager - 3
Technical/Functional Round
Video call · 60 min
What it testsSkills assessment and problem-solvingUsually run byTeam members - 4
Final Round
In-person or video · 60 min
What it testsCulture fit and cross-functional alignmentUsually run bySenior leadership
Autoscience take-home assignment
Autoscience includes a take-home exercise in their interview process. For AI roles, this typically involves a practical problem that takes 2-4 hours. Focus on clean, working code over premature optimization. They're evaluating how you think and communicate, not just the solution.
Autoscience interview timeline
At 14 days, Autoscience's process is about average than typical for AI (14 days at this size).
Interviewed at Autoscience?
Tell us how it went: stages, questions, timeline. Takes 90 seconds and it's how this page stays accurate for the next person.
Autoscience jobs, frequently asked questions
How many jobs does Autoscience have open?
Autoscience currently has 3 open roles, last verified October 2, 2026.
Does Autoscience hire remotely?
All current Autoscience roles are based in San Mateo.
What roles is Autoscience hiring for?
Autoscience is hiring across Engineering. The most recent opening is AI Product Manager / Research Engineer.
How do I apply for a job at Autoscience?
Apply directly through the links above, or read our guide on how to actually get hired at Autoscience.
Does Autoscience respond to cold emails?
We're still collecting cold email data for Autoscience.
Who is the hiring manager at Autoscience?
At this size, hiring is usually run by the hiring manager.
How competitive is it to get hired at Autoscience?
Expect 100-250 applicants in the first two weeks for AI roles at this size. Apply within 72 hours for best odds.
How many rounds is the Autoscience interview?
4 stages: Recruiter Screen, Hiring Manager Interview, Technical/Functional Round, Final Round.
Is the Autoscience interview hard?
It concentrates on technical depth and system design rather than abstract puzzles. The stage candidates find hardest is Technical Interview.
Does Autoscience give a take-home task?
Yes, Autoscience includes a take-home assignment.
How long does Autoscience take to get back to you?
Around 14 days across the full process.
What should I prepare for the Autoscience interview?
Study technical depth and system design. At this size (), they care about self-sufficiency over textbook knowledge.
Where is Autoscience based?
Autoscience is headquartered in San Mateo, US.
Get Autoscience roles before they're posted
A role stays uncontested for about four days. Here's the window, and where we put you in it.
From $5.99/week, cancel any time.
- live
- +2h+2hrole spotted & verified1
- +4h+4hyou get the alert1
- day 3day 3you've applied~8
- day 7+day 7+hits the job boards250+
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