# Machine Learning Research Scientist at Autoscience > Location unclear · Unspecified · ML / AI · open. Source: https://alderhq.app/jobs/ashby%3Aautoscience%3A323b577d-3150-4696-be85-b25e488fc2f5 (read 2026-11-08). ## Facts (observed) - Company: [Autoscience](https://alderhq.app/companies/autoscience) - Location text: San Mateo - Where it can be done from (inferred): Location unclear (evidence: "Location: San Mateo") - Posted: 2025-09-14 (420 days ago) - First seen by alder: 2026-11-04 · last verified: 2026-11-07 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/autoscience/323b577d-3150-4696-be85-b25e488fc2f5 - Skills listed (inferred): LLMs ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (SF Bay Area, n 461): p25 $200k, median $250k, p75 $300k ## Description (the employer's text) ### 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 Machine Learning Research Scientist located in the San Francisco Bay Area. Work directly with the founder to develop autonomous research systems that ideate, experiment, and improve customer models. Collaborate with the engineering team to build and deploy production-ready research systems. RL post-train and fine-tune reasoning models to automate components of the machine learning research process. Stay current with the latest developments in AI research and automation. Qualifications: Education: PhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Exceptional candidates with strong research contributions are encouraged to apply regardless of formal degree. Research: Publishing in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, etc) or equivalent industry experience at corporate AI research labs (Microsoft, Google, Nvidia, TRI etc). Technical: Expertise in training machine learning models, including deep learning, reinforcement learning or genetic algorithms. This does not include building multi-agent systems using LLM APIs or building RAG-based agents. Curiosity: Passion for accelerating scientific discovery through AI and willingness to explore uncharted directions with minimal supervision. ### Recommended Qualifications Systems: Experience building scalable and production-ready machine learning pipelines or large-scale model training (distributed model training over \>64 GPUs). Science: Any background or proven interested in Automated Scientific Research 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. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Aautoscience%3A323b577d-3150-4696-be85-b25e488fc2f5 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.