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Senior Machine Learning Engineer Biotech Jobs in Houston, TX

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Design, develop, and deploy advanced AI and machine learning models to solve complex business ... Mentor junior engineers and provide technical guidance on AI best practices, model development, and ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Houston, TX · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Showing results 41-60

Senior Machine Learning Engineer Biotech information

See Houston, TX salary details

$56.8K

$120.9K

$175.2K

How much do senior machine learning engineer biotech jobs pay per year?

As of Sep 6, 2026, the average yearly pay for senior machine learning engineer biotech in Houston, TX is $120,858.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $137,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Machine Learning Engineer Biotech vs Data Scientist Biotech?

AspectSenior Machine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, algorithms, and deployment pipelines in biotech R&DAnalyzes data, builds statistical models, and interprets biological data
Employer & Industry UsageTech-driven biotech firms, pharma companies, research labsBiotech companies, healthcare analytics, research institutions

While both roles work with biological data, Senior Machine Learning Engineers focus on developing and deploying ML models for biotech applications, whereas Data Scientists analyze and interpret data to inform research and decision-making. The ML Engineer role emphasizes model deployment and engineering skills, while Data Scientists focus more on statistical analysis and insights.

What are the most commonly searched types of Machine Learning Engineer Biotech jobs in Houston, TX?

The most popular types of Machine Learning Engineer Biotech jobs in Houston, TX are:

What job categories do people searching Senior Machine Learning Engineer Biotech jobs in Houston, TX look for?

The top searched job categories for Senior Machine Learning Engineer Biotech jobs in Houston, TX are:

What cities near Houston, TX are hiring for Senior Machine Learning Engineer Biotech jobs?

Cities near Houston, TX with the most Senior Machine Learning Engineer Biotech job openings:

Staff Machine Learning Engineer (Autonomy)

Mariana Minerals

Houston, TX • On-site

$160K - $200K/yr

Full-time

Re-posted 11 days ago


Job description

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 mining vehicles perceive, decide, and drive themselves.
In this role you will own 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 mining vehicles 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
  • Lead 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
  • 5-10+ 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!