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Contract Computer Vision Deep Learning Engineer Jobs in Magnolia, TX

Senior Machine Learning Engineer

Houston, TX ยท On-site

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... Master's degree or equivalent in Computer Science, Statistics, Mathematics, Data Science, or a ...

Senior Machine Learning Engineer

Houston, TX ยท On-site

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... Master's degree or equivalent in Computer Science, Statistics, Mathematics, Data Science, or a ...

Senior Software Engineer

Spring, TX ยท On-site

$109K - $143K/yr

Deep neural networks * Model size reduction * Synthetic photorealistic image data generation ... Stay updated with the latest advancements in machine learning, computer vision, robotics, and ...

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

... and Deep Learning concepts. * Proficiency in at least one AI-centric programming language (e.g ... Machine Learning frameworks (TensorFlow, PyTorch, scikit-learn) * NLP * computer vision * graph ...

Machine Learning Engineer

The Woodlands, TX ยท On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or ... Execute on the technical vision for development of AI solutions and delivery of AI features to ...

Machine Learning Engineer

Houston, TX ยท On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or ... Execute on the technical vision for development of AI solutions and delivery of AI features to ...

Showing results 41-60

Contract Computer Vision Deep Learning Engineer information

See Magnolia, TX salary details

$41.5K

$104K

$117.7K

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

As of Sep 11, 2026, the average yearly pay for contract computer vision deep learning engineer in Magnolia, TX is $104,005.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,400.00 and $112,600.00 per year, depending on experience, location, and employer.

What are popular job titles related to Contract Computer Vision Deep Learning Engineer jobs in Magnolia, TX?

For Contract Computer Vision Deep Learning Engineer jobs in Magnolia, TX, the most frequently searched job titles are:

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

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

Algorithm Engineer, Reinforcement Learning

Houston, TX โ€ข On-site

$56 - $77/hr

Full-time

Medical, PTO

Re-posted 18 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 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.