> 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. # Member of Technical Staff - Post Training, Applied Canonical URL: https://nextmove.md/fde/jobs/58539013dd9b1dd8 Liquid AI posts a FDE role to build what the customer runs in San Francisco, CA with no pay posted. Own applied post-training for text workloads, adapting Liquid Foundation Models to enterprise customer requirements from project scoping through evaluation and delivery. Read from the employer’s posting on November 8, 2026. - [Liquid AI](https://nextmove.md/fde/companies/liquid-ai) Posted Jan 23, 2026 by Liquid AI · open on Ashby as of Nov 8, 2026 Pay not posted San Francisco, CA Hybrid Full-time Own applied post-training for text workloads, adapting Liquid Foundation Models to enterprise customer requirements from project scoping through evaluation and delivery. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F58539013dd9b1dd8&placement=top) - [View posting at Liquid AI](https://jobs.ashbyhq.com/liquid-ai/f898850b-a1ca-4c9e-9e15-a9aa1ce306b6/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, 1,864 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 (not covered) 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 San Francisco, 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**: San Francisco, CA - **Work arrangement**: Hybrid - **Employment type**: Full-time ## More like this [Sanas](https://nextmove.md/fde/companies/sanas) ### [Member of Technical Staff, LLM Post-Training, Applied](https://nextmove.md/fde/jobs/24ef7254ad020c1f) Palo Alto, CA On-site 2w ago Pay not posted [Meta](https://nextmove.md/fde/companies/meta) ### [Partner Engineering GenAI - US](https://nextmove.md/fde/jobs/c4b55e3690201838) Menlo Park, CA 7w ago $179,000–$250,000 [SF Tensor](https://nextmove.md/fde/companies/sf-tensor) ### [Member of Technical Staff, Post-Training & Applied Research](https://nextmove.md/fde/jobs/790e35ccae399fab) San Francisco, CA On-site 2mo ago $275,000–$315,000 - [Other jobs at Liquid AI (2)](https://nextmove.md/fde/companies/liquid-ai) ## The job description from Liquid AI Posted by Liquid AI on Jan 23, 2026 ### About Liquid AI Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there. ### The Opportunity You will own applied post-training for text workloads, adapting Liquid Foundation Models for some of the world’s largest enterprise customers. Working directly with customers and our internal technical teams, you will translate business needs into models that perform reliably on real tasks, with ownership from scoping through adaptation, evaluation, and delivery. Between engagements, you will turn what you learn into reusable tooling and workflows that make future delivery faster and more effective. ### What We're Looking For We need someone who: - **Takes ownership:** Clarifies ambiguous requirements, surfaces risks early, and follows through until the customer’s problem is solved. - **Lets evidence guide decisions:** Tests assumptions, investigates failure cases, and chooses approaches based on measurable improvements in model quality and customer outcomes. - **Communicates clearly:** Explains technical trade-offs, keeps customers and internal teams aligned, and pushes back when expectations or proposed approaches need to change. ### The Work - Own enterprise post-training engagements for workloads, translating customer requirements into technical specifications, delivery plans, and evaluation criteria. - Build data generation, curation, filtering, and quality assessment workflows tailored to customer tasks. - Select and execute appropriate post-training methods, including supervised fine-tuning, instruction tuning, and preference alignment approaches such as RLHF and DPO. - Design task-specific evaluations, analyze model failures, and use the results to guide improvements in data and training. - Deliver adapted models with clear evidence of performance, documented limitations, and guidance for customer use. - Build reusable tooling and workflows that accelerate future engagements and feed practical insights back into core model development. ### Experience & Capabilities ### What you'll need - Particularly strong judgment in data quality and evaluation design, supported by hands-on experience generating, curating, and evaluating data for LLM post-training. - Experience training or fine-tuning language models using methods such as SFT, instruction tuning, RLHF, DPO, or similar preference alignment approaches. - The ability to reason across data, training, alignment, and evaluation as a connected system, with practical experience in chat model alignment, instruction tuning, or text data curation at scale. - Proficiency with PyTorch, Hugging Face, and modern language model architectures. ### Helpful, not required - Experience delivering applied ML projects to external customers with measurable outcomes. - Familiarity with inference optimization frameworks such as vLLM, SGLang, or TensorRT. - Experience building reusable ML tooling or evaluation infrastructure. ### What Success Looks Like (Year One) - You have independently delivered enterprise text post-training projects that meet agreed evaluation criteria, with minimal oversight. - Customers trust your technical judgment and delivery, with a clear understanding of model performance, limitations, and trade-offs. - Your reusable tooling and workflows are being used in subsequent engagements, reducing repeated work and accelerating delivery. ### What We Offer - **Applied ML with direct impact:** Generate data, fine-tune models, and ship solutions for enterprise customers. Your work feeds directly back into our core model development. - **Compensation & Equity:** Competitive base salary plus equity, so you share in what we build. Final offers reflect skills, experience, and location. - **Time Off:** Unlimited PTO, plus company-wide Refill Days, long weekends when the whole company rests together. - **Health & Wellbeing:** Comprehensive health coverage, with details varying by location. - **Paid Leave:** Paid leave for pregnancy, parenting, medical needs, and caring for family. [View posting at Liquid AI](https://jobs.ashbyhq.com/liquid-ai/f898850b-a1ca-4c9e-9e15-a9aa1ce306b6/application) ## About Liquid AI Efficient general-purpose AI systems optimized for on-device deployment across data centers and edge hardware, enabling low-latency, privacy-preserving enterprise AI. Series A · 100–200 people ## Similar jobs [Syntiant](https://nextmove.md/fde/companies/syntiant) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/e0bcf35f10ba6dd1) Redwood City, CA New · 5d ago $195,000–$225,000 [Sieve](https://nextmove.md/fde/companies/sieve) ### [Forward Deployed Engineer, Physical AI](https://nextmove.md/fde/jobs/c01d9e4502e1f4bf) San Francisco, CA On-site 5mo ago $150,000–$350,000 [Luminary](https://nextmove.md/fde/companies/luminary) ### [Senior/Principal Forward Deployed Engineer - Applied AI/ML](https://nextmove.md/fde/jobs/abf1cdea6984147c) San Mateo, CA On-site 2w ago Pay not posted [Genera](https://nextmove.md/fde/companies/genera) ### [Member of the Deployments Team](https://nextmove.md/fde/jobs/32df1f3e43a1d892) San Francisco, CA On-site 2mo ago Pay not posted [ChipAgents](https://nextmove.md/fde/companies/chipagents) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/2ff7b7b2f9e8f946) San Jose, CA On-site 10d ago $180,000–$300,000 - [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 Liquid AI and want this page changed or removed? 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