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How to Actually Get Hired
Who reads applications, which channel gets a reply, and what they screen for.
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.
What gets their attention
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.
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
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
What they look 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.
Mistakes that kill applications
At people, a copy-paste CV is immediately obvious. It's an instant no.
Nobody cares what you want. Start with The AI research bottleneck has always been human bandwidth and how you'd help.
Don't apply and wait. The median AI application gets no response ever. One follow-up at day five roughly doubles reply rates.
Frequently asked questions
How do I apply to Autoscience?
Through the roles on our Autoscience jobs page, or directly to the hiring manager if you can reach them. At null people, direct outreach outperforms the form.
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?
-person AI companies see ~100-250 applicants per role in two weeks. The 72-hour window is your advantage.
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