SENIOR FIELD ML ENGINEER

Oumi; New York (NY); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Equity in a high-growth startup

Comprehensive health, dental, and vision insurance

21 days PTO

Regular team offsites and events

Job summary

An innovative AI startup is seeking a Pre/Post-Sales Machine Learning Engineer to connect technical expertise with customer success. The role involves designing, training, and deploying AI models while working closely with customers throughout the pre-sales and post-sales process. Ideal candidates will have over 4 years of experience in applied machine learning and a solid understanding of modern AI models. The position offers hybrid or remote working options, along with competitive benefits, including equity in the company.

Qualifications

• 4+ years in applied ML or solution/sales engineering.
• Experience with foundation models training or fine-tuning.
• Strong grasp of AI/LLM best practices.

Responsibilities

• Partner with customers during pre-sales and post-sales.
• Create and evaluate AI models using Oumi’s platform.
• Design scalable ML workflows for customers.
• Act as a technical advocate for Oumi’s capabilities.
• Drive product improvements based on customer needs.
• Develop guides and demos for customer success.

Skills

Experience in applied ML

Understanding of machine learning workflows

Proficiency in Python

Communication skills

Problem-solving

Adaptability

Job description

Pre/Post-Sales Machine Learning Engineer at Oumi

Company Overview

Oumi is on a mission to make frontier AI truly open for all. We believe that AI will have a transformative impact on humanity, and that developing it collectively and in the open is the best path forward to ensure it is done efficiently and safely.

Oumi provides an all-in-one platform to build state‑of‑the‑art AI models, from data preparation to production deployment, empowering innovators to build cutting‑edge models at any scale. We also develop open foundation models in collaboration with academic partners and the open community.

Role Overview

We’re looking for our first Pre/Post‑Sales Machine Learning Engineer who bridges the gap between technical expertise and customer success. You’ll work closely with customers to design, train, and deploy AI models using Oumi’s platform, blending solution architecture, applied machine learning, and customer interaction.

Responsibilities

• 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.
• Act as 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 and enable: develop technical guides, demos, and best practices to help customers and the open community succeed with Oumi.

What You’ll Bring

• 4+ years of experience in applied ML, ML infrastructure, or solution/sales engineering roles.
• Solid understanding of machine learning workflows, with experience training or fine‑tuning modern foundation models (e.g. LLMs, diffusion models, multimodal systems).
• Proficiency in Python, strong grasp of AI/LLM best practices, and experience with model training frameworks and production LLM use cases (e.g. RAG, agents).
• Strong communication skills, able to explain complex technical concepts to both technical and non‑technical audiences.
• Learner’s mindset: proactively fill gaps in knowledge and adapt quickly.
• Operational excellence: manage ambiguity and own problems end‑to‑end.
• Alignment with Oumi’s core values: Beneficial for All, Customer‑Obsessed, 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 Mateo, CA; Seattle, WA; New York, NY.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Engineering and Information Technology – Software Development