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Flexible Remote Machine Learning Engineer Jobs in Houston, TX

Cisco

Senior Software Engineer (Remote)

Houston, TX · Remote

$117K - $154K/yr

Familiarity with LLMs, AI agents, embeddings, or other machine-learning capabilities and their ... Exempt employees participate in Cisco's flexible vacation time off program, which has no defined ...

YO AI Labs

AI Data Scientist Expert - Remote

Houston, TX · Remote

$100 - $200/hr

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

YO AI Labs

AI Data Science Expert - Remote

Houston, TX · Remote

$100 - $200/hr

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Crowe LLP

Cyber AI Security Manager

Houston, TX · On-site +1

$106K - $143K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... Act as the security expert in designing, developing, and deploying secure AI and machine learning ...

Crowe LLP

Cyber AI Security Manager

The Woodlands, TX · On-site +1

$99K - $134K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... Act as the security expert in designing, developing, and deploying secure AI and machine learning ...

Accounting Fly

Remote Tax Preparer

Houston, TX · Remote

$80K - $100K/yr

Fully remote role; flexible remote work schedule * Reasonable busy season hours with a target of no more than 50 hrs per week during tax season * Growing firm - opportunity for learning and career ...

rightpoint

Copilot Software Engineer

Houston, TX · On-site +1

... and Azure Machine Learning into production solutions building agentic and generative AI ... What Genpact: • Flexible PTO and work schedule • Hybrid or fully remote work options • ...

Genpact

Copilot Software Engineer

Houston, TX · On-site +1

... and Azure Machine Learning into production solutions building agentic and generative AI ... What Genpact: • Flexible PTO and work schedule • Hybrid or fully remote work options • ...

DataAnnotation

Software Engineer - AI Trainer

Houston, TX · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Dlapiper

Data Scientist

Houston, TX · On-site +1

... and software engineering. Identifies patterns and looks for opportunities for optimization ... A specialization in machine-learning, artificial intelligence, cognitive science or data science is ...

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All JobsMachine Learning Engineer JobsFlexible Remote Machine Learning Engineer JobsFlexible Remote Machine Learning Engineer Jobs in Houston, TX

Flexible Remote Machine Learning Engineer information

See Houston, TX salary details

$30.1K

$123K

$184.8K

How much do flexible remote machine learning engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for flexible remote machine learning engineer in Houston, TX is $122,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $148,000.00 per year, depending on experience, location, and employer.

What is a flexible remote machine learning engineer?

A Flexible Remote Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models while working remotely, often with flexible hours. They use programming, data analysis, and statistical skills to create algorithms that solve real-world problems, collaborating with teams through digital communication tools. This role allows for a better work-life balance and can be performed from anywhere with a reliable internet connection. Flexible remote positions are especially popular in the tech industry, where project-based work and results matter more than strict office hours.

What are the key skills and qualifications needed to thrive as a flexible remote machine learning engineer?

To thrive as a Flexible Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data pipelines are essential, and certifications in machine learning or cloud technologies can be advantageous. Excellent communication, self-motivation, and time management skills help you collaborate effectively and stay productive in a remote, flexible work environment. These skills ensure you can independently deliver high-quality ML solutions, maintain clear team communication, and adapt to evolving project requirements.

How does a flexible remote work arrangement impact collaboration and project delivery for machine learning engineers?

In a flexible remote setting, Machine Learning Engineers often rely on digital collaboration tools to communicate with team members and manage projects. This setup allows for asynchronous work, enabling engineers to focus deeply on model development and data analysis without constant interruptions. However, it also means proactively scheduling check-ins and maintaining clear documentation are crucial to ensure alignment across distributed teams. While remote work offers autonomy and work-life balance, successful engineers build strong communication habits to keep projects on track and foster effective collaboration with data scientists, product managers, and software engineers.

What is the difference between Flexible Remote Machine Learning Engineer vs Data Scientist?

AspectFlexible Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, ML, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis-focused
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, finance, research
Common Search IntentRoles involving ML model development and deploymentRoles focused on data analysis and insights

The main difference is that a Flexible Remote Machine Learning Engineer primarily develops and deploys machine learning models, while a Data Scientist focuses on analyzing data to generate insights. Both roles often require similar educational backgrounds and can be remote, but their core responsibilities differ in application and focus.

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

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

What are popular job titles related to Flexible Remote Machine Learning Engineer jobs in Houston, TX?

For Flexible Remote Machine Learning Engineer jobs in Houston, TX, the most frequently searched job titles are:

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

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

What cities near Houston, TX are hiring for Flexible Remote Machine Learning Engineer jobs?

Cities near Houston, TX with the most Flexible Remote Machine Learning Engineer job openings:

Flexible Remote Machine Learning Engineer jobs near you
Infographic showing various Flexible Remote Machine Learning Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, and 3% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $122,971 per year, or $59.1 per hour.

Senior Software Engineer, Simulation & World Models

Bot Auto

Houston, TX • On-site, Remote

Full-time

Re-posted 16 hours ago

Key responsibilities

  • Design and develop high-performance simulation infrastructure for autonomous vehicle development and validation

  • Build scalable systems for scenario generation, simulation execution, and evaluation

  • Build infrastructure supporting reinforcement learning and closed-loop evaluation workflows

Job description

About the Role

We are building the next generation of autonomous trucking technology to make freight transportation safer, more efficient, and more scalable.

Our Simulation team develops the virtual environments, testing infrastructure, and AI-driven simulation systems that enable rapid development and validation of autonomous driving software. We leverage large-scale simulation, synthetic data generation, reinforcement learning environments, and emerging world-model technologies to accelerate autonomy development.

We are seeking a software engineer with strong C++ expertise and a passion for building scalable simulation systems. This role offers the opportunity to work at the intersection of autonomous driving, simulation, robotics, and AI.

What You'll DoBuild Autonomous Driving Simulation Systems
  • Design and develop high-performance simulation infrastructure for autonomous vehicle development and validation
  • Build scalable systems for scenario generation, simulation execution, and evaluation
  • Develop simulation tooling used by Perception, Prediction, Planning, and Controls teams
  • Improve simulation realism, scalability, and operational efficiency
  • Collaborate across teams to support testing, validation, and development workflows
Develop AI-Driven Simulation Capabilities
  • Build infrastructure supporting reinforcement learning and closed-loop evaluation workflows
  • Develop systems for synthetic data generation and automated scenario creation
  • Collaborate with ML engineers and researchers to integrate learned models into simulation environments
  • Explore emerging approaches in world modeling, agent simulation, and Physical AI
Engineering Excellence
  • Write production-quality C++ and Python code
  • Participate in architecture and technical design discussions
  • Build reliable, maintainable, and well-tested systems
  • Contribute to code reviews and engineering best practices
  • Create clear technical documentation for systems and tools
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field
  • 3+ years of professional software development experience
  • Strong expertise in modern C++ (C++17 or newer preferred)
  • Experience designing and developing production software systems
  • Strong understanding of:
    • Multithreading and concurrency
    • Memory management
    • Performance optimization
    • Software architecture and system design
  • Experience working with simulation, robotics, gaming, or autonomous systems
Preferred Qualifications
  • Experience with simulation platforms such as:
    • CARLA
    • Isaac Sim
    • Unreal Engine
  • Familiarity with reinforcement learning concepts and workflows
  • Experience with agent-based simulation or closed-loop simulation systems
  • Experience building synthetic data generation pipelines
  • Experience with ROS or ROS2
  • Experience with cloud-native infrastructure such as Docker, Kubernetes, AWS, or GCP
  • Familiarity with machine learning infrastructure and large-scale data processing systems
Nice to Have
  • Experience in autonomous driving or robotics applications
  • Experience with multi-agent simulation systems
  • Familiarity with world models, generative simulation, or Physical AI technologies
  • Experience with sensor simulation, including camera, lidar, or radar
  • Experience with physics engines and real-time systems
  • Experience with CUDA, OpenGL, Vulkan, or graphics programming
What We're Looking For
  • Strong software engineering fundamentals
  • Systems-thinking mindset and attention to detail
  • Curiosity about simulation, AI, robotics, and autonomous systems
  • Ability to work across simulation, infrastructure, and machine learning domains
  • Comfortable working in a fast-paced environment with evolving technical challenges
  • Passion for building the next generation of intelligent simulation platforms

Apply