ML Engineer

United States·San Franciscofull-timemid

Machine Learning EngineerData

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Quick Summary

Requirements Summary

data → training/fine-tuning → evaluation/benchmarking. Prior experience training or fine-tuning models (any modality/type - LLMs, computer vision, physics, surrogate models, etc.

Technical Tools

Machine Learning EngineerData

📍 San Francisco | 🏢 5 Days Onsite

Location: Onsite in San Francisco

Compensation: Competitive Salary + Equity

Engineering simulation is one of the last major categories of software that AI hasn't rebuilt. The tools used to design aircraft, ships, reservoirs, and medical devices still run on numerical methods that are decades old, and an engineer can wait a full day for a single answer. UniversalAGI is building foundation models that learn physics directly from data, and they are already running in early deployments on real computational fluid dynamics and reservoir engineering problems for some of the largest industrial and defense organizations in the world.

We are a team of 25 researchers and engineers in San Francisco backed by Elad Gil (#1 Solo VC), Eric Schmidt (former Google CEO), Prith Banerjee (ANSYS CTO), Ion Stoica (Databricks Founder), Jared Kushner (former Senior Advisor to the President), David Patterson (Turing Award Winner), and Luis Videgaray (former Foreign and Finance Minister of Mexico).

About the Role

~1 min read

UniversalAGI is hiring an ML Engineer to help ship ML outcomes by owning the execution layer: data preprocessing/generation, training/fine-tuning, benchmarking, and delivering results.

Responsibilities

~1 min read

Requirements

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- Experience building data pre-processing pipelines for training ML models.
- Experience with benchmarking methodology, experiment design, and metric selection.
- Familiarity with distributed training / scalable compute workflows.
- Experience in an FDE-style / delivery execution role (or similar “ship results fast” environments).

What We Offer

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✓We provide great benefits, including:Competitive compensation and equity.

✓Competitive health, dental, vision benefits paid by the company.

✓401(k) plan offering.

✓Flexible vacation.

✓Team Building & Fun Activities.

✓Great scope, ownership and impact.

✓AI tools stipend.

✓Monthly commute stipend.

✓Monthly wellness / fitness stipend.

✓Daily office lunch & dinner covered by the company.

✓Immigration support.

“The credit belongs to the man who is actually in the arena, whose face is marred by dust and

sweat and blood; who strives valiantly; who errs, who comes short again and again... who at the

best knows in the end the triumph of high achievement, and who at the worst, if he fails, at least

fails while daring greatly." - Teddy Roosevelt

At our core, we believe in being “in the arena. ” We are builders, problem solvers, and risk-takers who show up every day ready to put in the work: to sweat, to struggle, and to push past our limits. We know that real progress comes with missteps, iteration, and resilience. We embrace that journey fully knowing that daring greatly is the only way to create something truly meaningful.