Machine Learning Engineer (Autonomy)
Mariana Minerals
San Francisco, CA · $140k–$180k a year · Posted August 21, 2026
Just laid off? Start here: a plan for the first weeks
See every open role at Mariana Minerals
More in California job market · Machine Learning Engineer jobs in San Francisco, CA (36) · All Machine Learning Engineer jobs (217) · Manufacturing & Industrial · Data & Analytics jobs
More roles at Mariana Minerals
- Commercial Counsel · San Francisco, CA
- IP Counsel · San Francisco, CA
- Procurement Manager, Construction · San Francisco, CA
- Senior/Staff Chemical Process Engineer · San Francisco, CA
- Logistics Manager · San Francisco, CA
- Production Planner · Houston, TX
Similar jobs
- Systems Engineer Stf - E4 · Lockheed Martin · Palmdale, CA
- Platform Engineer · Flux · San Francisco, CA
- CANES Platform Engineer · Scientific Research · San Diego, CA
- Systems Engineer II · Crane · Burbank, CA
- Engineer, Rewarming Systems · Until · CA
- Platform Engineer · Sable Bio · San Francisco, CA
Where San Francisco, CA ranks
Where San Francisco, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for security jobs316 openings · of 20
- #1Best cities for technology jobs7,178 openings · of 100
- #1Best cities for financial services pay after cost of living$173k · of 33
- #1Best cities for entry-level jobs that want AI skills35% · of 100
- #1Best cities for entry-level jobs that want AI skills in the West Coast35% · of 54
- #1Cities with the most jobs that do not need a four-year degree in the West Coast902 jobs · of 47
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing pays about $160,000 a year. Across 48 open machine learning engineer listings that state pay, the middle half runs $167,500 to $239,500 and the median is $199,000. That is 20% below the median, below the middle half of those listings.
Listed pay is what employers advertise, not what people are paid.
Machine Learning Engineer salaries by state · Check your own pay
How AI is used in this kind of work
Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
ABOUT MARIANA MINERALS
Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies. We’re reimagining the minerals supply chain by combining deep industry expertise with advanced software, automation, and data-driven decision-making.
ROLE OVERVIEW
We are hiring Machine Learning Engineers (Autonomy) to build the autonomy and sensor-integration software that lets our fixed and mobile equipment perceive, decide, and drive themselves.
In this role you will work on parts of the software and sensor integration that enables full mining autonomy — sensor fusion across LiDAR, cameras, radar, and IMU/GNSS; perception, localization, and mapping; and the autonomy stack that turns sensing into safe vehicle motion. You will carry work from architecture and algorithm design through implementation, simulation, and bench and field validation, working hand in hand with our hardware, controls, and systems-engineering teams. This is a hands-on, first-principles role for an engineer who wants to develop the world’s first fully autonomous mines.
WHAT YOU’LL DO
- Develop autonomy software for autonomous fixed and mobile equipment focusing on one or more area: perception, SLAM, motion planning, and control
- Integrate and calibrate the sensing suite (LiDAR, cameras, radar, IMU, GNSS), implementing sensor fusion and time synchronization robust to dust, vibration, and corrosion-heavy mining environments
- Build and maintain embedded and real-time software that bridges sensing, compute, and actuation, with attention to safety, latency, and reliability
- Develop simulation, logging, and data pipelines to test autonomy behavior and drive performance against safety and availability targets
- Build bench, rig, and field validation of the autonomy stack, debugging across the full software-hardware boundary
- Collaborate with hardware and controls engineers to integrate sensing, compute, and actuation into a complete vehicle
WHAT YOU’LL BRING
- Bachelor's degree in Mechatronics, Robotics, Computer Science, Electrical, or related engineering discipline
- 2+ years developing autonomy, robotics, or embedded software, ideally for mobile robots or vehicles
- Strong proficiency in C++ and/or Python, and with a robotics middleware such as ROS/ROS 2
- Hands-on experience with sensor integration and fusion - LiDAR, cameras, radar, IMU, GNSS - and with perception, localization, or motion-planning algorithms
- Working knowledge of real-time and embedded systems, and of the controls and software-hardware integration that drive actuation
- Experience in autonomous vehicles, robotics, automotive, or off-highway equipment strongly preferred
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!