---
title: 'Forward Deployed Engineer at Autoscience'
canonical: 'https://feeny.ai/job/forward-deployed-engineer-autoscience-san-mateo-z0wjbcrk4k58'
type: 'job'
last_seen: '2026-10-17'
---

# Forward Deployed Engineer at Autoscience

- **Company:** Autoscience
- **Location:** San Mateo, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-12
- **Last confirmed live:** 2026-10-17
- **Apply:** https://jobs.ashbyhq.com/autoscience/b6a5a7bf-9895-4fc5-9fa1-b049d595a344

## Job description

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

## Role Description

We’re looking for a full-time on site role for a Forward Deployed Engineer to bring AutoScience into the most important machine learning environments in the world. You’ll work directly with customers to understand their ML systems, deploy AutoScience into their infrastructure, and turn ambiguous modeling problems into environments where our automated researchers can run thousands of useful experiments. This is not a traditional solutions engineering role. You’ll write production code, work inside real ML pipelines, debug distributed systems, reason about machine learning challenges, and collaborate directly with our research and engineering teams to make the core product better. You’ll own deployments end-to-end from the first technical conversation to the first model improvement shipped into production.

## Qualifications

- You’re an unusually strong engineer who likes operating where the problem is poorly specified. You bring strong interpersonal judgment and communication skills, build trust with teammates and stakeholders, and collaborate effectively across different working styles and areas of expertise.
- You get enjoyment from socializing with technical and non-technical customers
- You should be comfortable opening an unfamiliar ML repository, understanding how the system works, getting it running, identifying what matters, and shipping something useful quickly.

You likely have:

- Strong software engineering fundamentals and excellent Python skills.
- Experience building, training, evaluating, or deploying machine learning systems.
- Experience working with production cloud infrastructure and containerized workloads.
- Strong debugging skills across software, infrastructure, data, and ML systems.
- Experience owning technically complex projects from an ambiguous starting point through production.
- Good judgment about when to build something robust and when to move quickly.
- The ability to communicate deeply technical ideas with researchers, engineers, and technical leaders.
- An eagerness to spend significant time working directly with customers.
- A high degree of autonomy and comfort working in a fast-moving environment.

## 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.

## About Autoscience

## Company Overview
- **One-liner**: Autoscience builds AI systems that autonomously conduct AI research — from generating original peer-reviewed papers to shipping verified model improvements for enterprise ML teams.
- **Entity Type**: Private (Seed stage, $14M raised)
- **Headquarters**: San Mateo, California, United States
- **Founded**: 2024
- **Founders**: Not publicly disclosed

## Core Business
- **Primary industry**: Artificial intelligence R&D, automated machine learning
- **Target customers**: B2B (enterprise ML teams using Mira) and B2C/B2B for academia (Carl)
- **Mission**: Automate AI research and development to compress years of ML discovery into months, breaking the human bottleneck in AI innovation.

## Products & Services
- **[Carl](https://autoscience.ai)**: An AI research scientist for academia that hypothesizes, runs ablations, writes full-length papers, and submits them to peer review. First AI system to produce a peer-reviewed paper (ICLR 2025 Workshop).
- **[Mira](https://autoscience.ai)**: An AI-driven R&D system for enterprise ML. It drops into a customer’s stack, reads the codebase, runs experiments, and ships pull requests that are guaranteed to beat the baseline on the customer’s own evals.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: $14M total funding (Seed round, March 2026)
- **Notable Investors**: General Catalyst (lead), Perplexity Fund, Toyota Ventures, S32, MaC Ventures [autoscience.ai](https://www.autoscience.ai/blog/autoscience-autonomous-ai-lab)
- **Growth Signals**: 7 employees (as of mid-2026) with +42.9% monthly headcount growth [linkedin.com](https://www.linkedin.com/company/autoscienceai). First autonomous system to earn a Silver Medal in a Kaggle competition (Santa 2025, vs. 3,300 teams). 3 active job postings as of July 2026, indicating scaling.

## Competitive Advantages
- **First-mover in autonomous AI research agents**: Proven capability to produce peer-reviewed, publishable research and win ML competitions without human intervention.
- **Direct code integration**: Mira doesn’t just advise — it writes and ships production-ready improvements, creating a tight feedback loop.
- **Research-grade rigor**: In-house culture of experimental design and scientific depth, not just LLM orchestration.

## Strategic Focus
- Expand the engineering and research teams (currently hiring for Software Engineer, Senior/Staff Software Engineer, and Machine Learning Research Scientist) [autoscience.ai/careers](https://www.autoscience.ai/careers).
- Deepen partnerships with select large enterprises to replace understaffed ML teams with autonomous R&D capacity.

## Why Work Here
- **In-person, collaborative culture**: Full-time in San Mateo, with an emphasis on pairing, whiteboarding, and sitting next to teammates [autoscience.ai/careers](https://www.autoscience.ai/careers).
- **Competitive compensation**: Meaningful equity, competitive cash, 401(k) plan, relocation support for Bay Area moves, and unlimited PTO [autoscience.ai/careers](https://www.autoscience.ai/careers).
- **Frontier research environment**: Work directly with the founding team on autonomous systems that ideate, experiment, and improve customer models. Published at top venues (ICLR 2025 Workshop) [autoscience.ai](https://www.autoscience.ai/blog/autoscience-autonomous-ai-lab).
- **Values-driven**: Depth over breadth, transparency, ship and iterate, research-grade rigor [autoscience.ai/careers](https://www.autoscience.ai/careers).
- **High-growth early stage**: Small team (7 employees) with rapid hiring, offering significant impact and ownership.

## Sources
1. [autoscience.ai](https://autoscience.ai/)
2. [autoscience.ai/careers](https://www.autoscience.ai/careers)
3. [linkedin.com/company/autoscienceai](https://www.linkedin.com/company/autoscienceai)
4. [autoscience.ai/blog/autoscience-autonomous-ai-lab](https://www.autoscience.ai/blog/autoscience-autonomous-ai-lab)
5. [jobs.ashbyhq.com/autoscience](https://jobs.ashbyhq.com/autoscience)

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