1

Contract Computer Vision Deep Learning Engineer Jobs in Waller, TX

Machine Learning Tutor

Houston, TX · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Job#: 3040809 US|Machine Learning Engineer V Location: Houston, Texas Role Overview We are seeking ... Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life ...

Drone Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Contract * Drone Data Execution Engineer Skydio * Drone Operations Data Execution * Plan execute ... Computer vision models * Defect detection * Asset condition monitoring * Digital twin platforms

... or computer vision as part of AI solutions and workflows. * Knowledge of enterprise SaaS ... learning and analytics to improve their workflows and deliver information and insight to support ...

AI Engineer

Houston, TX · On-site

$50K - $112K/yr

... networks and deep learning methods for advanced AI applications - Managing data quality and ... Computer and Information Science, Computer Engineering, Computer Management, Management Information ...

AI Engineer

Houston, TX · On-site

$120 - $180/hr

... or computer vision as part of AI solutions and workflows. * Knowledge of enterprise SaaS ... learning and analytics to improve their workflows and deliver information and insight to support ...

Senior Structural Test Engineer

Houston, TX · On-site

$96K - $130K/yr

... company, has transformed computer graphics, parallel computing, and deep learning with the ... Coordinate test fixtures and platform automation with suppliers, contract manufacturers, and global ...

Deep knowledge of programming fundamentals including variables, data types, control structures ... for learning. Please note: Varsity Tutors does not contract in: Alaska, California, Colorado ...

Showing results 41-60

Contract Computer Vision Deep Learning Engineer information

See Waller, TX salary details

$43.9K

$110K

$124.5K

How much do contract computer vision deep learning engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for contract computer vision deep learning engineer in Waller, TX is $110,007.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,900.00 and $119,000.00 per year, depending on experience, location, and employer.

What cities near Waller, TX are hiring for Contract Computer Vision Deep Learning Engineer jobs?

Cities near Waller, TX with the most Contract Computer Vision Deep Learning Engineer job openings:

Infographic showing various Contract Computer Vision Deep Learning Engineer job openings in Waller, TX as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $110,007 per year, or $52.9 per hour.

Senior Algorithm Engineer, Reinforcement Learning

Bot Auto

Houston, TX • On-site

$99K - $137K/yr

Full-time

Medical, PTO

Re-posted 25 days ago


Job description

Company Introduction
At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a startup and the wisdom of seasoned experts, our team has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create groundbreaking solutions that propel the future of transportation. Join us and transform your ideas into reality.
Role Overview
We are seeking a Senior ML/RL Engineer to join our Algo team and drive the development of our unified behavioral architecture. In this role, you will help bridge the gap between simulation and the real world by developing a scalable policy framework that represents both our L4 ego-policy and a diverse population of simulated agents. You will work at the intersection of Multi-Agent Reinforcement Learning (MARL) and safety-critical system design to ensure our autonomous semi-trucks navigate highways with superhuman safety and precision.
Key Responsibilities
  • Behavioral Modeling: Develop and train diverse, conditioned policies that simulate realistic driving behaviors to stress-test and validate our autonomous driving stack.
  • Safety-Constrained Learning: Lead the research and implementation of advanced RL algorithms to ensure safety metrics are treated as primary constraints in the learning process.
  • Reward & Objective Design: Collaborate with cross-functional teams to design robust reward functions and evaluation metrics that balance safety, progress, and comfort.
  • Scalable Training Pipelines: Contribute to the optimization of our large-scale, high-throughput training environments to enable rapid iteration on complex multi-agent scenarios.
  • Model Architecture: Advance our state-of-the-art neural architectures to improve spatial reasoning, long-horizon planning, and interaction modeling.
  • Cross-Team Collaboration: Work closely with Simulation and Planning teams to integrate research-grade models into production-quality, safety-critical software.
Required Qualifications
  • Professional RL Experience: Proven track record of training and deploying deep RL algorithms (e.g., PPO, SAC) for complex, real-world robotic or autonomous systems.
  • Technical Mastery: Expertise in Python and PyTorch; strong understanding of modern deep learning architectures and optimization techniques.
  • Academic Background: MS or PhD in Computer Science, Robotics, or a related quantitative field.
  • Scientific Intuition: Ability to diagnose and solve fundamental challenges in RL training, such as variance management and distribution shift.
Preferred Qualifications
  • Safe RL Specialization: Experience with constrained optimization or safety-critical learning frameworks.
  • Multi-Agent Systems: Background in MARL training stability, including self-play and decentralized execution strategies.
  • Autonomous Driving Domain: Familiarity with vehicle dynamics and behavior planning, particularly for long-haul highway environments.
Additional Information
  • Compensation: Competitive salary based on experience, with opportunities for performance bonuses and equity.
  • Benefits: Comprehensive health insurance, paid time off, and the opportunity to work at the forefront of the autonomous trucking industry.
Why Bot Auto?
We are a small, hyper-focused team on a mission to beat human cost-per-mile through technology. We recently successfully completed the industry's first fully humanless commercial truckload, proving that our vision is a reality. If you are passionate about AI, safety, and transforming logistics, we want to hear from you.