ML Engineering Manager: Perception, Robotics & Platform

marianaminerals; Michigan; On-site; USD 150,000 - 210,000; Full time

Job summary

Mariana Minerals is seeking a Machine Learning Engineering Manager to lead ML engineers across perception, robotics, agentic workflows, and the ML platform. You will own technical direction, drive the production lifecycle, and partner with TPMs and data platforms to ship reliable AI-powered capabilities in our industrial setting.

The role blends hands-on review with people leadership, a wide surface area, and a focus on building strong generalists while keeping the platform coherent as use cases

Qualifications

• 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: built and operated production systems, cares about interfaces and reliability, can review designs with software engineers.
• Working fluency with the current LLM/foundation-model landscape — what models can do today and where agentic approaches fit.
• Track record of setting technical direction for a team and delivering against commitments in a cross-functional environment.
• Ability to evaluate work you didn’t do — review a model, pipeline, or system design and provide constructive feedback.
• Exceptional written and verbal communication across audiences, from ML engineers to operators to executives.

Responsibilities

• Manage, coach, and grow a team of ML engineers across perception, robotics, agentic workflows, and ML platform — hiring, onboarding, 1:1s, performance reviews, and career development.
• Own the technical direction of the team: platform architecture, deployment criteria, and which approaches are suitable for vision models, robots, or agents.
• Partner with TPMs on the roadmap: translate priorities into scoped engineering work and commit to deliverables.
• Own the ML platform and MLOps stack as a product used by the ML org: training infrastructure, evaluation, deployment, monitoring.
• Own engineering practices for perception and robotics: data collection, evaluation under real plant conditions, safety, and reliability.
• Own engineering practices for LLM and agentic tools: evaluation, guardrails, cost, latency, and decision to use agents vs conventional software.
• Ensure cohesive interfaces with the software engineering org: shared infrastructure and ownership to prevent gaps.
• Oversee production lifecycle: deployment, monitoring, incident response, on-call, and reliability standards.
• Stay hands-on to review the hardest work and unblock engineers when needed.
• Own headcount planning and hiring for the team, building a pipeline of ML engineers.

Skills

ML engineering

people management

production ML systems

perception/vision

LLM/agentic

MLOps

software engineering fundamentals

communication

Tools

TensorFlow

PyTorch

Kubernetes

MLflow

Job description

Mariana Minerals is seeking a Machine Learning Engineering Manager to lead ML engineers across perception, robotics, agentic workflows, and the ML platform. You will own technical direction, drive the production lifecycle, and partner with TPMs and data platforms to ship reliable AI-powered capabilities in our industrial setting.

The role blends hands-on review with people leadership, a wide surface area, and a focus on building strong generalists while keeping the platform coherent as use cases