Applied Machine Learning Engineer at Measurement Labs

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.

She will pick the best candidates from Jack's network.

The next step is to speak to Jack.

Job Title: Applied Machine Learning Engineer

Company Description: Measurement Labs - VC-backed AI startup building the data layer for the physical world

Job Description:

Join a three-person engineering team building the intelligence layer for global infrastructure and manufacturing. You will design and deploy sophisticated systems combining computer vision, graph theory, and symbolic reasoning to automate complex manual processes. This is a high-impact role for a versatile engineer ready to bridge the gap between academic research and production-scale physical applications.

Location: San Francisco, USA

Why this role is remarkable:

* Work directly with founders who previously scaled and exited a successful YC-backed company, offering rare mentorship and high-growth potential.

* Tackle "real-world" ML challenges by synthesizing visual, satellite, and sensor data to solve critical problems for some of the world's largest industrial companies.

* Enjoy significant ownership and autonomy as one of the first five employees, influencing the architecture and culture of a fast-growing, top-tier VC-backed startup.

What you will do:

* Design and implement multi-model architectures that stitch together CNNs, ViTs, and graph-based heuristics into coherent, production-ready systems.

* Work across the full lifecycle of machine learning, from researching and fine-tuning domain-specific models to writing full-stack code for deployment.

* Collaborate directly with customers in utilities and manufacturing to understand their technical constraints and translate them into novel algorithmic solutions.

The ideal candidate:

* Possesses 0-7 years of experience with a strong foundation in Applied ML, Computer Vision, Graph Theory, or Symbolic AI from a startup or research setting.

* Holds a technical degree in Computer Science, Math, Physics, or a related Engineering field with a focus on pragmatic, outcome-oriented problem-solving.

* Demonstrates the ability to thrive in ambiguity, wearing multiple hats across ML research, software engineering, and customer-facing product development.

Who are Jack & Jill?

Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.

And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.

Next steps

Step 1. Visit our website.

Step 2. Click 'Talk to Jack'.

Step 3. Talk to Jack so he can understand your experience and ambitions.

Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role.

Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.

Step 6. If not, Jack will find you excellent alternatives. All for free.

We never post fake jobs

This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.

Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.

We appreciate this can make them look a bit suspect, but there isn't much we can do about it.

Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.