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Remote Machine Learning Robotics Jobs in Dallas, TX

Vogo

Data Scientist

Dallas, TX · On-site +1

From downtown hotels and luxury resorts to private vacation rentals and remote cabins, Vogo offers ... This role will own the Machine Learning models that drive our business from development to ...

Waabi

Research Scientist, Simulation Agents

Dallas, TX · On-site +1

$158K - $269K/yr

... machine learning or robotics. Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related field. - Strong background in imitation learning and/or reinforcement ...

Waabi

Research Scientist, Simulation Agents

Dallas, TX · On-site +1

$158K - $269K/yr

... machine learning or robotics. Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related field. - Strong background in imitation learning and/or reinforcement ...

Waabi

Research Scientist, Simulation Agents

Dallas, TX · On-site +1

$158K - $269K/yr

... machine learning or robotics. Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related field. - Strong background in imitation learning and/or reinforcement ...

RealPage, Inc.

Data Scientist

Richardson, TX · Remote

$116.40K - $198.20K/yr

Machine Learning & Data Science * Develop, evaluate, and deploy predictive and generative models ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

RealPage, Inc.

Data Scientist

Richardson, TX · Remote

$116.40K - $198.20K/yr

Responsibilities Machine Learning & Data Science * Develop, evaluate, and deploy predictive and ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

Gainwell Technologies LLC

Principal Data Sciences

Dallas, TX · On-site +1

$124K - $177.10K/yr

... machine learning and AI solutions using python * Experience with data cleansing, validation, and general quality control principals What you should expect in this role * Fully Remote Opportunity - Wo ...

HedgeServ

Senior ITSMA Observability Engineer

Dallas, TX · On-site +1

$103.40K - $142K/yr

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... HedgeServ supports employees through a variety of offerings, including remote and hybrid working ...

THOMSON REUTERS

Lead Research Engineer

Frisco, TX · On-site +1

$95.90K - $126.40K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

Maximus

AI/ML Software Developer

Arlington, TX · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Sparks Group

Data Engineer

Dallas, TX · On-site +1

$113.30K - $136.10K/yr

Exposure to machine learning pipelines, MLOps concepts, or AI-driven data workflows preferred ... is Hybrid Remote. We offer several comprehensive benefits package including health and life ...

Maximus

AI/ML Software Developer

Dallas, TX · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

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Remote Machine Learning Robotics information

See Dallas, TX salary details

$32.1K

$63.1K

$98.4K

How much do remote machine learning robotics jobs pay per year?

As of May 30, 2026, the average yearly pay for remote machine learning robotics in Dallas, TX is $63,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $74,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Robotics Engineer, and why are they important?

To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.

How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?

Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.

What is a Remote Machine Learning Robotics job?

A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.

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

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech firms, finance, healthcare, research institutions

Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.

What are the most commonly searched types of Machine Learning Robotics jobs in Dallas, TX? The most popular types of Machine Learning Robotics jobs in Dallas, TX are:
What are popular job titles related to Remote Machine Learning Robotics jobs in Dallas, TX? For Remote Machine Learning Robotics jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Robotics jobs in Dallas, TX look for? The top searched job categories for Remote Machine Learning Robotics jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Machine Learning Robotics jobs? Cities near Dallas, TX with the most Remote Machine Learning Robotics job openings:
Remote Machine Learning Robotics jobs near you

Data Scientist

Vogo

Dallas, TX • On-site, Remote

Full-time

Posted 14 days ago

Job description

About Vogo
Vogo is a global travel platform that brings all types of accommodations into one place, making it easy for travelers to find the perfect stay.
 
From downtown hotels and luxury resorts to private vacation rentals and remote cabins, Vogo offers the widest selection of accommodations worldwide. Vogo's proprietary technology then scans billions of data points to surface the best deals across millions of properties, streamlining discovery, and booking for every traveler.
 
Since launching out of Wilbur Labs in 2018, Vogo has rapidly become one of the most trusted travel platforms globally, surpassing $1 billion in gross bookings in just two years. Vogo is headquartered in Dallas and led by a team of travel industry veterans.
 
About this Role
Vogo is seeking a hands-on, data-driven Data Scientist to support the next stage of growth. This role will own the Machine Learning models that drive our business from development to deployment. Key responsibilities include improving on sort and search models to help travelers find their perfect accommodation quickly and efficiently, refining predictive and classification models to estimate cancellations and financial outcomes, and developing new models to choose the perfect images and reviews to show to our customers. Your work will directly improve both customer experience and business performance. 
 
The ideal candidate combines top-notch model development and tuning skills with a startup mindset: pragmatic, ownership-driven, and excited to make a measurable impact. This is a strategic, execution-focused role for someone who can drive Machine Learning initiatives end-to-end and deliver results independently.
 
Success in this role requires more than strong technical skills. Improved models and engineering must translate into better financial and customer outcomes, so strong business judgment is essential. Identifying the right problems to solve is just as important as the modeling itself. This role is positioned to have a direct and meaningful impact on the business. 
 
This role will report directly to the COO. This is a full-time hybrid position, based in Dallas. 
Roles and Responsibilities:
  • Model Development: Design, develop, and implement machine learning models to drive VacationRenter’s sort and search functions, create classification models to predict reservation cancellations, and build predictive models to support pricing strategies
  • Data Analysis & Feature Engineering: Leverage your business acumen and deep understanding of travel shopping behaviors to identify, engineer, and prioritize the most impactful features that drive model performance
  • Production Deployment: Collaborate with engineering teams to deploy machine learning models into production, ensuring they perform reliably, scale effectively, and maintain high-quality results
  • Experimentation & A/B Testing: Design and run controlled experiments to measure and validate the effectiveness and impact of machine learning models
  • Reporting & Visualization: Develop clear and insightful reports and interactive dashboards to effectively communicate model findings and performance metrics to both technical and non-technical stakeholders
  • Research & Innovation: Continuously explore and apply the latest advancements in machine learning, AI, and data science to enhance our modeling capabilities and data infrastructure
Minimum Qualifications:
  • 5+ years of professional experience in a Data Scientist or Machine Learning Engineer role,
  • Expert-level proficiency in Python, including key machine learning libraries
  • Solid understanding of statistical modeling, experimental design, and data mining techniques
  • Demonstrated experience owning the full modeling lifecycle, including ETL, data cleansing, feature engineering, model development, deployment, and ongoing maintenance
  • Experience with SQL and working with large datasets in a cloud environment, particularly GCP, but demonstrated expertise in other platforms can suffice
  • Strong communication skills, with the ability to explain complex technical concepts to a diverse audience
Preferred Qualifications and Prior Experience:
  • Experience  developing machine learning models within a GCP environment
  • Familiarity with MLOps practices and tools for deployment, maintenance, and ongoing improvement of models
  • Experience in the Travel or Financial Services industry
Benefits & Perks:
  • Competitive salary + equity
  • Top-tier laptop provided
  • 100% company-paid health benefits for base plan coverage, with the option to upgrade to higher-tier plans
  • 401(k) with company match
  • Unlimited, guilt-free vacation days
  • Annual wellness stipend (gym + other wellness activities)
  • Monthly house cleaning stipend
  • Annual travel allowance
  • Monthly cell phone & internet usage stipend
  • Charity donation company match
  • Employee referral bonus
  • Team offsites/activities!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.