Machine Learning Engineer, New Grad

Reposted 22 Days Ago
San Francisco, CA
In-Office
Entry level
Artificial Intelligence • Machine Learning • Software
The AI revenue engine for essential service industries that keep America running.
The Role
As a Machine Learning Engineer, you'll develop and ship models for an AI platform, own projects from start to finish, and work closely with customers to enhance product features.
Summary Generated by Built In

Netic is the AI revenue engine for essential services who are the backbone of the American economy.

With $43M in funding from Founders Fund, Greylock, Hanabi, and Dylan Field who led our Series B, we helped our customers book hundreds of thousands of jobs across services industries in North America. There are now companies operating entirely AI-first on Netic.

You’ll join our team with relentless builders from Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard in bringing frontier AI to the physical economy, where the problems are hard, the data is complex, and the impact is immediate and tangible.

At Netic, we build features that put AI in the hands of real businesses. As an new grad, you'll have a dedicated mentor to guide you through the end-to-end process of supporting customers, shipping features, and iterating quickly.

New grads are expected to start in Summer of 2026 or earlier.

What You'll Do:

  • Develop models: Design, code, and ship full-stack models for Netic's AI platform, tackling everything from evals to insights.

  • Own projects end-to-end: Drive projects from spec to production, handling data models, APIs, fine-tuning, and post‑launch iteration.

  • Co‑create with customers: Work closely with our customers to understand workflows, gather feedback, and turn pain points into features that stick.

What You'll Learn:

  • AI experience: You'll be hands‑on with LLMs, working with state of the art models and infra.

  • Product and operations collaboration: You'll work daily with folks from other functions to learn how best to apply ML concepts to drive real impact.

  • Founder‑level ownership: You'll see what it takes to run a successful startup, balancing scrappiness with creativity and technical excellence.

We believe fulfillment comes from producing your best work with the smartest people together in one room. All roles are in person, in SF (our office is in Jackson Square). What brings us together is our commitment to:

  • Live to build

  • Run through walls and win

  • Obsess over customers in each line of code

  • Lose sleep over the "almost perfect"

  • Show internal locus of control

  • Prioritize finesse: refinement of first principles thinking, execution, and craftsmanship

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.

Top Skills

AI
APIs
Full-Stack
Llms
Machine Learning
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: San Francisco, CA
18 Employees
Year Founded: 2023

What We Do

We help essential service industries grow on autopilot.

Essential services power the real economy. Every one of us interacts with these industries repeatedly throughout our lives.

But these large businesses face real-world constraints—human labor, external volatility, compliance, logistics, and physical infrastructure. Their operations are complex and often rely on outdated systems and manual workflows, and they can’t access the frontier technologies that drive digital-first businesses.

In a world where startups mostly build for startups, we serve the large enterprises in real industries and end users that keep America running. We're a small team of relentless builders, ex-founders, and immigrants from top CS schools and tech companies who thrive on solving hard problems and making a tangible impact.

We are backed by the best investors and founders of our generation.

Similar Jobs

MAI Agents Logo MAI Agents

Machine Learning Engineer

AdTech • Artificial Intelligence • Information Technology • Software
In-Office
Mountain View, CA, USA
23 Employees
90K-140K Annually

NVIDIA Logo NVIDIA

Machine Learning Engineer

Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
In-Office
Santa Clara, CA, USA
21960 Employees
116K-219K Annually

NVIDIA Logo NVIDIA

Machine Learning Engineer

Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
In-Office or Remote
Santa Clara, CA, USA
21960 Employees
116K-219K Annually
In-Office
2 Locations
2359 Employees
170K-216K Annually

Similar Companies Hiring

Milestone Systems Thumbnail
Software • Security • Other • Big Data Analytics • Artificial Intelligence • Analytics
Lake Oswego, OR
1500 Employees
Idler Thumbnail
Artificial Intelligence
San Francisco, California
6 Employees
Fairly Even Thumbnail
Software • Sales • Robotics • Other • Hospitality • Hardware
New York, NY

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account