> 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.

# Senior Field ML Engineer

Canonical URL: https://nextmove.md/fde/jobs/5580bbfedf9711f9

Oumi posts a senior FDE role to build what the customer runs in San Francisco, CA and 2 more with no pay posted. The first Senior Field ML Engineer will partner with customers across pre-sales and post-sales to design, train, evaluate, and deploy AI models using Oumi’s platform. Read from the employer’s posting on November 8, 2026.

- [Oumi](https://nextmove.md/fde/companies/oumi)

Posted Nov 24, 2025 by Oumi · open on Ashby as of Nov 8, 2026

Pay not posted San Francisco, CA +2 Hybrid Full-time

The first Senior Field ML Engineer will partner with customers across pre-sales and post-sales to design, train, evaluate, and deploy AI models using Oumi’s platform.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F5580bbfedf9711f9&placement=top)
- [View posting at Oumi](https://jobs.ashbyhq.com/oumi/47314fbd-6c72-49bb-acc9-f4876ae07c9f/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
2. Proof of concept
3. Implementation
4. Operations

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Individual contributor

### What they ask for

Experience

- **5+ years** applied ML, ML infrastructure, or solution/sales engineering

Background

- **Solutions and customer engineering**

### Do you meet what the posting states?

The posting asks for 5+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The job is in San Francisco, CA · Bellevue, WA · +1 more. Could you work in one of these?

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 · Bellevue, WA · New York, NY

- **Work arrangement**: Hybrid

- **Remote work restrictions**: Remote or hybrid; offices in San Francisco, Bellevue, and New York.

- **Employment type**: Full-time

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## The job description from Oumi

Posted by Oumi on Nov 24, 2025

### About Oumi

**Why we exist: **Oumi is on a mission to make frontier AI truly open for all. We are founded on the belief that AI will have a transformative impact on humanity, and that developing it collectively, in the open, is the best path forward to ensure that it is done efficiently and safely. By providing the safest, highest quality, and most flexible AI, we aspire to unlock positive impact for every individual, enterprise, and humanity overall.

**What we do: **Oumi provides an end-to-end, AI-native platform to build custom AI models in hours, not months –automating the loop of evaluation, data synthesis, training, and repeat. Oumi also develops an open research stack and models in collaboration with academic collaborators and the open community.

**Our Approach: **Oumi is built on a foundation of open source, with open collaboration at the heart of everything we do. Our work is:

- Research-driven: We conduct and publish original AI research, working closely with academic research labs and collaborators across the globe.
- Community-powered: We believe in the strength of open collaboration and actively welcome contributions from researchers and developers worldwide.
- Accessibility-focused: We design Oumi to help any organization—regardless of size or resources—effectively build, deploy, and benefit from AI by lowering barriers to access, experimentation, and adoption.

### Role Overview

We’re looking for our first **Senior Field ML Engineer** who bridges the gap between technical expertise and customer success. You’ll work closely with our customers to design, train, and deploy AI models using Oumi’s platform. This role blends solution architecture, applied machine learning, and customer interaction - ideal for someone who loves both building systems and helping others use them effectively.

You’ll play an important role in shaping not only the direction of the team but also the product. You will collaborate closely with research, product, and engineering teams to ensure customers have a world-class experience using Oumi, while channeling feedback to improve our platform.

### You will:

- **Drive success with customers:** Partner with customers through the pre-sales and post-sales lifecycle - from technical demos and proof-of-concept design to hands-on training and deploying models.
- **Create custom models:** Train, fine-tune, and evaluate modern LLMs and other AI models using Oumi’s platform.
- **Design AI solution architectures:** Work with customers to design scalable ML workflows using best practices in data preparation, training, and deployment.
- **Be a technical advocate:** Help customers understand Oumi’s capabilities, providing technical insight and translating research innovations into practical solutions.
- **Drive product improvements:** Work closely with the product and research teams to surface customer needs and help shape the future of Oumi’s platform.
- **Educate & Enable:** Develop technical guides, demos, and best practices to help customers and the open community succeed with Oumi.

### What You’ll Bring:

- **Experience:** You have 5+ years of experience in applied ML, ML infrastructure, or solution/sales engineering roles.
- **ML Expertise:** You bring a solid understanding of machine learning workflows, with experience training or fine-tuning modern foundation models (e.g., LLMs, diffusion models, multimodal systems).
- **Development Skills:** You are proficient in Python with a strong understanding of AI/LLM best practices including practical experience with model training frameworks and using LLMs in production environments for modern use cases (e.g. RAG, agents, or agentic systems).
- **Customer-Facing Strength:** You have strong experience communicating complex technical concepts clearly and empathetically to both technical and non-technical audiences.
- **Learners Mindset: **You can proactively address gaps in your understanding of concepts and are willing to pick up whatever knowledge you're missing to get the job done.
- **Operational Excellence: **You can operate in and manage ambiguity while owning problems end-to-end.
- **Values:** You embody Oumi's core values: Beneficial for All, Customer-Ossessed, Radical Ownership, Exceptional Teammates, Science-Grounded.

### Benefits:

- Equity in a high-growth startup
- Comprehensive health, dental, and vision insurance
- 21 days PTO
- Regular team offsites and events

### Location:

- Remote OR hybrid work environment, with offices in:
- San Francisco, CA
- Bellevue, WA
- New York, NY

[View posting at Oumi](https://jobs.ashbyhq.com/oumi/47314fbd-6c72-49bb-acc9-f4876ae07c9f/application)

## About Oumi

Oumi provides an open-source stack and commercial platform for synthesizing data, training, evaluating, and deploying task-specific AI models.

Seed · 1–10 people

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- [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior)
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