layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Machine Learning Engineering Manager, Industrial Autonomy & Applied ML at Mariana Minerals | LAYIQ

Must have
6+ years in machine learning engineering, including 2+ years managing ML engineers with direct responsibility for hiring, performance, and growth.
Hands-on track record shipping ML systems to production in at least two of: computer vision / perception, robotics or embedded ML, LLM-powered or agentic applications, ML platform / MLOps infrastructure.
Strong software engineering fundamentals: you've built and operated production systems, you care about interfaces and reliability, and you can hold a design review with software engineers as a peer.
Working fluency with the current LLM/foundation-model landscape — what the models can do today, how to evaluate them, and where agentic approaches genuinely fit versus conventional software.
Track record of setting technical direction for a team and delivering against commitments in an ambiguous, cross-functional environment.
Ability to evaluate work you didn't do — you can review a model, a pipeline, or a system design and give feedback that makes the engineer better.
Exceptional written and verbal communication across audiences, from ML engineers to operators to executives.
Nice to have
Prior work on industrial robotics, perception in harsh environments, or closed-loop control of physical systems.
Experience owning an ML platform or MLOps stack used by multiple teams.
Experience shipping LLM-powered or agentic internal tools to real users and measuring adoption.
Background in mining, energy, chemicals, manufacturing, or other heavy industry — especially industrial automation or sensor/vision data.
Experience building a team from a handful of engineers to a functioning organization.
Why This Role
Most ML manager roles hand you one problem area and a platform someone else owns. This role hands you the perception systems that will see our plants, the robotic systems that will act in them, the agents that will run inside our tools, and the platform underneath all of it — at the moment they move from ad hoc experimentation into supported systems. At Mariana, you don't need to validate product-market fit, because we are the market: if your team builds something that works, it gets deployed.
Our culture is built on four principles: Everyone Gets Home Safe.
We never put speed or cost ahead of people.
Extreme Ownership.
We take full responsibility for outcomes, relentlessly driving toward solutions.
Engineer Out Requirements, then Automate.
We simplify, optimize, and then automate for scale.
Share Your Legos.
We collaborate openly, share knowledge, and empower each other to build bigger, better solutions.
Join us as we build the future of responsible mineral sourcing and supply!

Machine Learning Engineering Manager, Industrial Autonomy & Applied ML

Employer job description

About Mariana Minerals

The Role

What You'll Do

How You'll Operate

Player-coach:

Structure from ambiguity:

Breadth with depth on demand:

Clear commitments:

Ecosystem fluency:

What We're Looking For

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