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Flexible Machine Learning Jobs in Houston, TX (NOW HIRING)

Socket.dev

Robotics Machine Learning Engineer

Houston, TX · On-site

$120 - $180/hr

We are primarily interested in candidates who have developed and released products to market, but can be flexible depending on aptitude and energy. As one of the inaugural Machine Learning Engineers ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI ... Flexible paid time off & generous holidays * Remote-first with co-working access at Industrious ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · Remote

$104K - $138K/yr

As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI ... Flexible paid time off & generous holidays * Remote-first with co-working access at Industrious ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI ... Flexible paid time off & generous holidays * Remote-first with co-working access at Industrious ...

Hp

Principal AI Data Scientist

Spring, TX

$147K - $230K/yr

Strong foundation in data science and core machine learning concepts. * Experience with large ... Additional flexible paid vacation and sick leave (US benefits overview) The compensation and ...

Hp

AI Data Scientist

Spring, TX

$130K - $205K/yr

AI Data Scientist Description - About the Position The HP Enterprise AI & Machine Learning ... Additional flexible paid vacation and sick leave (US benefits overview) The compensation and ...

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

Flexible Machine Learning information

See Houston, TX salary details

$24.4K

$40.7K

$84K

How much do flexible machine learning jobs pay per year?

As of Aug 14, 2026, the average yearly pay for flexible machine learning in Houston, TX is $40,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,000.00 and $43,900.00 per year, depending on experience, location, and employer.

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

AspectFlexible Machine LearningData Scientist
CredentialsTypically requires knowledge of machine learning, programming, and data analysis; certifications like AWS, Google Cloud are commonRequires degrees in statistics, computer science, or related fields; certifications like Certified Data Scientist are beneficial
Work EnvironmentOften in tech companies, startups, or consulting firms; involves building adaptable ML modelsIn various industries including finance, healthcare, and tech; focuses on data analysis and insights
Industry UsageUsed in AI development, automation, and predictive modelingApplied in business analytics, research, and strategic decision-making

Flexible Machine Learning professionals focus on developing adaptable ML models across diverse applications, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but their primary focus and industry usage differ slightly.

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

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

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

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

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

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

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

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

Flexible Machine Learning jobs near you
Infographic showing various Flexible Machine Learning job openings in Houston, TX as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $40,666 per year, or $19.6 per hour.

Machine Learning Intern, Manipulation

Persona AI

Houston, TX • On-site

Full-time

Posted 13 days ago

Job description

Job Title: Machine Learning Internship, Manipulation
Department: Robotics Software Engineering
Employment Type: Internship, Fall 2026 (August - December) or Spring 2027 (January - May)
FLSA: Exempt
Location: Houston, TX - Onsite
Who We Are
Persona AI is developing and commercializing rugged, multi-purpose humanoid robots that perform real work. Persona AI's founding team has a decades-long history in humanoid robotics, bionics, and product development delivering robust hardware that has touched the stars, worked miles below the surface of the ocean, and even roamed Disney Parks. Our mission is focused squarely on shipping beautiful, reliable products at massive scale, while building a customer-focused team to achieve these aims.
About the Role
We're looking for a Machine Learning Intern (Manipulation) to help build Persona's machine learning models and infrastructure. We are primarily interested in candidates with experience and relevant projects in robot learning, but can be flexible depending on aptitude and energy.
As a Machine Learning Intern at Persona, you will have an incredible opportunity to work with humanoid robots and solve practical problems in the real world.
What You'll Do
  • Work with the ML team to develop and improve machine learning models and the infrastructure.
  • Monitor and evaluate the performance of models in the real world.
  • Collaborate on the design and development of the Persona ML software stack and support its application in manipulation, navigation, locomotion, and perception.

What We're Looking For
  • Courage and grit to tackle some of the hardest problems in embodied AI.
  • Enthusiasm for working collaboratively in a high paced team environment.
  • Experience with deep learning frameworks (Pytorch, JAX, TensorFlow, etc.)
  • Experience with cloud computing to develop models, manage data, etc. (AWS, Azure, GCP)
  • Strong understanding of the state of the art research in robot learning (behavior cloning and reinforcement learning for manipulation, world models, etc.).
  • Understanding of the challenges of deploying neural network models in the real world.
  • Capable of writing high-quality software.
  • Thrive in fast-paced and ambiguous environments.
  • Strong first principles thinker.

Preferred or Bonus Qualifications
  • An advanced degree (Master's or PhD) in computer science, robotics, machine learning, or another related field.
  • Published papers at top ML/Robotics conferences (ICML, ICRA, CoRL, RSS, NeurIPS).

Persona AI is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

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