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Autoscience

Software Engineer

  • Seen live on Autoscience's site 2 days ago
  • Mid level
Pay
Not stated
Location
San Mateo
Open for
12+ days
First seen
Oct 23, 2026

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Autoscience's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Autoscience, so its true age is longer.

Last checked Nov 2, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

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What it asks of you

Bachelor's degree asked for
“Bachelor's degree in Computer Science, Math, or a related field” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

Company Description

At Autoscience Institute, we create AI systems that autonomously conduct AI research. Recently, we announced the first AI agent to autonomously create peer-reviewed literature (ICLR 2025 Workshops). We are passionate about pushing the boundaries of artificial intelligence and contributing to groundbreaking advancements in the field.

Role Description

This is a full-time on-site role for a Software Engineer located in the San Francisco Bay Area. The Software Engineer will be responsible for developing and maintaining back-end systems, designing and implementing software solutions, and creating production infrastructure. The role involves collaboration with our research teams to enhance our automated research capabilities.

Qualifications

  • Experience working in 24/7 production environments
  • Demonstrable experience with Google Cloud Platform
  • Demonstrable performance with Python
  • Strong skills in designing software (be ready to submit design docs)
  • Experience with backend and production environments
  • Ability to work collaboratively in a team environment and with Agile methods
  • Bachelor's degree in Computer Science, Math, or a related field
  • Experience with AI and machine learning is a plus

Benefits & Perks

  • Our comp is competitive against major LLM frontier lab packages
  • Unlimited PTO and flexible working arrangements
  • Conference attendance and publication support

Our Culture

We're a team of passionate researchers and engineers working to automate scientific discovery. We believe in the power of AI to accelerate scientific discovery and are committed to responsible AI development.

We are an e-verify employer.

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