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Senior Python Startup Jobs in Spring, TX (NOW HIRING)

Python .NET Azure Databricks (data platform) AI stack: Azure OpenAI Azure AI Foundry Azure AI ... The Senior Specialist level requires a Bachelor's degree or equivalent experience and 5-8 years of ...

Candidates who have come up through a smaller company or startup environment - wearing multiple ... Python • .NET • Azure • Databricks (data platform) AI stack: Azure OpenAI • Azure AI ...

Senior AI Language Model Engineer

Houston, TX · On-site

$99K - $137K/yr

Very strong proficiency in Python, with hands-on experience using version control systems. * Strong ... Experience working in fast-paced, startup-like, or R&D-heavy environments. Occidental does not ...

Very strong proficiency in Python, with hands-on experience using version control systems. * Strong ... Experience working in fast-paced, startup-like, or R&D-heavy environments. Occidental does not ...

... high-growth startup. This is a remote-first role with occasional (~1x month) travel ... for senior leadership and stakeholders * Work cross-functionally with commercial, analytics ...

... high-growth startup. This is a remote-first role with occasional (~1x month) travel ... for senior leadership and stakeholders * Work cross-functionally with commercial, analytics ...

... high-growth startup. This is a remote-first role with occasional (~1x month) travel ... for senior leadership and stakeholders * Work cross-functionally with commercial, analytics ...

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Showing results 1-20

Senior Python Startup information

See Spring, TX salary details

$48.9K

$126.3K

$173.5K

How much do senior python startup jobs pay per year?

As of Aug 6, 2026, the average yearly pay for senior python startup in Spring, TX is $126,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,100.00 and $145,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Python Startup vs Python Developer?

AspectSenior Python StartupPython Developer
CredentialsBachelor's or higher in CS, experience in startupsBachelor's in CS or related field, some experience
Work EnvironmentFast-paced startup, cross-functional teamsEstablished companies or startups, team-based
Industry UsageTech startups, innovative projectsVaried industries, software development
Search IntentSenior roles, startup environment, advanced skillsEntry to mid-level roles, Python programming

Senior Python Startup roles typically require more experience, leadership skills, and familiarity with startup environments. Python Developers may have similar technical skills but often at an earlier career stage and in more established settings. The main difference lies in experience level and work context, with Senior Python Startup positions emphasizing leadership and startup agility.

What job categories do people searching Senior Python Startup jobs in Spring, TX look for? The top searched job categories for Senior Python Startup jobs in Spring, TX are:
Infographic showing various Senior Python Startup job openings in Spring, TX as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $126,343 per year, or $60.7 per hour.

Senior Algorithm Engineer, Reinforcement Learning

Bot Auto

Houston, TX

$99K - $137K/yr

Other

Medical, PTO

Re-posted 11 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.