Forward Deployed Engineer
Autoscience1 day ago
San Mateo, CA, USASenior
Responsibilities
- Understand customers’ ML systems and deploy AutoScience into their infrastructure.
- Turn ambiguous modeling problems into environments where automated researchers can run experiments.
- Write production code and debug distributed, software, infrastructure, data, and ML systems.
- Collaborate with research and engineering teams to improve the core product.
- Own technically complex deployments end-to-end, from the first technical conversation through the first model improvement shipped to production.
- Communicate with and build trust among customers, researchers, engineers, and technical leaders.
Requirements
- Strong software engineering fundamentals and excellent Python skills.
- Experience building, training, evaluating, or deploying machine learning systems.
- Experience 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.
- Ability to work directly with technical and non-technical customers and communicate deeply technical ideas.
- Comfort working autonomously in a fast-moving environment and exercising judgment about speed versus robustness.
- Strong interpersonal judgment, communication, collaboration, and customer relationship skills.
Benefits
- Full-time, on-site role.
- Unlimited PTO and flexible working arrangements.
- Conference attendance and publication support.
- Competitive compensation relative to major LLM frontier lab packages.
Tech Stack
Categories
Forward Deployed
About Autoscience
Autoscience builds AI agents that autonomously conduct AI research and generate peer-reviewed literature, including announcing an agent with work accepted to ICLR 2025 Workshops. Its tools are aimed at research labs and R&D teams seeking to automate parts of the AI research process, offered as software and collaborations. Founded in 2024 and headquartered in San Mateo, California, the privately held company raised a seed round in 2026.