> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt. # Forward Deployed Engineer Canonical URL: https://nextmove.md/fde/jobs/a9012b69fa44776f Autoscience Institute posts a FDE role to build what the customer runs in Menlo Park, CA with no pay posted. Own end-to-end deployments of AutoScience in customer machine learning environments, turning ambiguous modeling problems into experiment-ready systems and delivering model improvements to production. Read from the employer’s posting on November 6, 2026. - [Autoscience Institute](https://nextmove.md/fde/companies/autoscience-institute) Posted Oct 12, 2026 by Autoscience Institute · open on Ashby as of Nov 6, 2026 Pay not posted Menlo Park, CA On-site Full-time Own end-to-end deployments of AutoScience in customer machine learning environments, turning ambiguous modeling problems into experiment-ready systems and delivering model improvements to production. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Fa9012b69fa44776f&placement=top) - [View posting at Autoscience Institute](https://jobs.ashbyhq.com/autoscience/b6a5a7bf-9895-4fc5-9fa1-b049d595a344/application) Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so. ## At a glance ### Posted base pay Not posted Senior FDE postings, 1,849 postings: the middle 50% of posted pay is $160K to $220K, median $190K. ### The work Builds what the customer runs Balance **Mostly building** Project stages 1. Pre-sales 2. Proof of concept (not covered) 3. Implementation 4. Operations (not covered) - **Coding**: Writes production code - **Builds for**: External customers - **Level**: Senior - **Role**: Individual contributor ### Do you meet what the posting states? The posting reads as a senior role. What level are you at now? The job is in Menlo Park, CA. Could you work there? Which of these have you used in production? Answer each one. Nothing is saved or sent. [What postings ask for, by background →](https://nextmove.md/fde/paths) ## Conditions - **Location**: Menlo Park, CA - **Work arrangement**: On-site - **Employment type**: Full-time ## More like this [Luminary](https://nextmove.md/fde/companies/luminary) ### [Senior/Principal Lead Delivery Engineer — Automotive](https://nextmove.md/fde/jobs/27f62ce9c80d4125) San Mateo, CA On-site 2w ago Pay not posted [Intercom](https://nextmove.md/fde/companies/intercom) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/0b7b9b01aafdb7a1) San Francisco, CA Hybrid 9d ago $180,000–$237,000 [Nominal](https://nextmove.md/fde/companies/nominal) ### [Forward Deployed Engineer, AI](https://nextmove.md/fde/jobs/dec8d400dcdba3a8) New York, NY · San Francisco, CA · +3 more 4w ago Pay not posted ## The job description from Autoscience Institute Posted by Autoscience Institute on Oct 12, 2026 ### 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. [View posting at Autoscience Institute](https://jobs.ashbyhq.com/autoscience/b6a5a7bf-9895-4fc5-9fa1-b049d595a344/application) ## About Autoscience Institute Builds AI systems that automate machine learning research and deploy model improvements into customer environments. Seed · 10–50 people ## Similar jobs [Campfire](https://nextmove.md/fde/companies/campfire) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/f935f5733b809a63) San Francisco, CA On-site 5w ago $180,000–$220,000 [Databricks](https://nextmove.md/fde/companies/databricks) ### [Sr. Forward Deployed Engineer (FDE) - Digital Native Business ](https://nextmove.md/fde/jobs/d7d1858268bd328d) San Francisco, CA 7w ago $182,000–$250,208 [West Monroe](https://nextmove.md/fde/companies/west-monroe) ### [Senior Applied AI Engineer/Architect](https://nextmove.md/fde/jobs/8a4b60dcc900fac7) Boston, MA · Chicago, IL · +7 more 4mo ago $225,000–$304,200 [Fastino Labs](https://nextmove.md/fde/companies/fastino-labs) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/da8fc44ab966dc80) San Francisco, CA Hybrid 2w ago Pay not posted [OpenAI](https://nextmove.md/fde/companies/openai) ### [Applied AI Engineer, Enterprise](https://nextmove.md/fde/jobs/522df6273aa0eeb2) San Francisco, CA · New York, NY Hybrid 4mo ago $251,000–$278,000 - [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior) - [Similar jobs in SF Bay Area](https://nextmove.md/fde/jobs?region=sf-bay-area) - [Similar jobs that build what the customer runs](https://nextmove.md/fde/jobs?role=builds-for-customers) Hiring at Autoscience Institute and want this page changed or removed? 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