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ML Engineer

universalagiSan FranciscoTechnical Staff
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Salary
Not listed
Job type
Full-time
Experience
Mid
Posted
1 Oct 2026
Status
Open · checked 9d ago

About this role

San Francisco is the location for this onsite ML Engineer position at UniversalAGI, which suits software professionals ready to own execution layers and ship machine learning models for physics simulation. The role requires five days a week in the San Francisco office and involves working closely with researchers to build pipelines and deliver results.

Role Overview

UniversalAGI is seeking an ML Engineer to take charge of the execution layer for physics foundation models in San Francisco. The position operates five days onsite and focuses on data preprocessing, model training, benchmarking, and shipping reliable outcomes for industrial and defense applications.

Key Responsibilities

Create and maintain data generation and preprocessing pipelines to support evaluation and training.
Execute training and fine-tuning workflows from start to finish while iterating on performance.
Build and run benchmarking suites to track progress and customer results.
Partner with research experts to turn model architectures into repeatable production processes.
Share clear metrics, dashboards, and writeups while ensuring reproducible work.

Requirements

Strong software engineering background featuring clean code, debugging, and reliability.
Solid machine learning fundamentals spanning data preparation, training, and evaluation.
Prior background in training or fine-tuning models across modalities.
High standards for personal performance and measurable metric improvement.
Resourcefulness to balance quick fixes with robust solutions.
End-to-end ownership and accountability for outcomes.

Nice to Have

Background in building data preprocessing pipelines for machine learning.
Experience with experiment design, metric selection, and benchmarking methodology.
Familiarity with distributed training and scalable compute workflows.
Experience in a delivery execution or customer-facing engineering role.

Skills and Tools

Machine Learning Lifecycle Management
Data Preprocessing and Generation Pipelines
Training and Fine-Tuning Workflows
Distributed Training
Experiment Design and Benchmarking

Salary and Benefits

Competitive salary paired with significant equity upside
Company-paid health, dental, and vision benefits
401(k) plan availability
Flexible vacation policy
Daily office lunch and dinner covered by the company
Immigration support
AI tools, monthly commute, and monthly wellness or fitness stipends

About the Company

UniversalAGI is a team of 25 researchers and engineers based in San Francisco building foundation models that learn physics directly from data. The organization is backed by prominent investors and advisors, addressing computational fluid dynamics and reservoir engineering problems for industrial and defense sectors.

How to Apply

Candidates should apply on the official company careers page.

Skills and tech stack

Questions candidates ask

Where is the job located?

The role is located onsite in San Francisco, requiring five days a week in the office.

What experience is required for the ML Engineer position?

The candidate needs strong software engineering skills, solid machine learning foundations, and prior experience in training or fine-tuning models across any modality.

What compensation and benefits are offered?

The position provides a competitive salary and equity, company-paid health, dental, and vision benefits, a 401(k) plan, daily catered lunch and dinner, immigration support, flexible vacation, and several stipends including AI tools, commute, and wellness.

What are the core duties of this role?

The responsibilities include building data pipelines, running end-to-end training and fine-tuning workflows, designing benchmarking suites, operationalizing research architectures into production, and communicating results clearly.

Is visa sponsorship or immigration support available?

Yes, immigration support is listed among the company benefits.

Ready to apply?

The application is on the official universalagi careers page.

Apply on company site