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Product Manager Machine Learning Jobs in Texas (NOW HIRING)

... management to advance lower-carbon technologies and products. Headquartered in Houston, Oxy ... Work with Subject Matter Experts to design appropriate machine learning model types and ...

Machine Learning Engineer

Irving, TX · On-site +1

$96K - $144K/yr

... Product Managers to drive towards business objectives and key performance indicators (KPIs ... Machine learning algorithms; Feature engineering, model training, hyperparameter tuning ...

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

... and product managers, to help develop and implement machine learning algorithms and testing ... workflows. Minimum Qualifications Bachelorʼs degree in Computer Science, Statistics, Mathematics ...

Telepathy Product: Develop and refine models that decode neural data, enabling individuals with ... for machine learning applications for BCI. * Lead the team by performing at a high standard ...

... products. Headquartered in Houston, Oxy primarily operates in the United States, Middle East and ... Knowledge of Terraform and Ansible for automating infrastructure management * Knowledge of YAML for ...

Data science and machine learning * API-first digital products * AI-enabled workflow automation ... Manage product backlogs, releases, and priorities in collaboration with engineering teams * Define ...

New

Machine Learning Engineer

Irving, TX · On-site +1

$96K - $144K/yr

Duties include: apply data modeling, machine learning, predictive modeling, and statistical ... Product Managers to drive towards business objectives and key performance indicators (KPIs)

... and product managers, to help develop and implement machine learning algorithms and testing ... workflows.","responsibilities":"Collaborate with other MLEs to build scalable, production-ready ML ...

... and product managers, to help develop and implement machine learning algorithms and testing ... workflows.","responsibilities":"Collaborate with other MLEs to build scalable, production-ready ML ...

... and product managers, to help develop and implement machine learning algorithms and testing ... workflows.","responsibilities":"Collaborate with other MLEs to build scalable, production-ready ML ...

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... Partner with product managers, data scientists, and other engineers to deliver impactful solutions

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Showing results 1-20

Product Manager Machine Learning information

See Texas salary details

$48K

$148.5K

$183.5K

How much do product manager machine learning jobs pay per year?

As of Jun 27, 2026, the average yearly pay for product manager machine learning in Texas is $148,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,400.00 and $183,500.00 per year, depending on experience, location, and employer.

How does a Product Manager specializing in Machine Learning typically collaborate with data scientists and engineering teams?

Product Managers in Machine Learning work closely with both data scientists and engineering teams to translate business objectives into viable AI-driven products. They facilitate communication by defining clear requirements, prioritizing features, and ensuring that the technical roadmap aligns with user needs and company strategy. Regular meetings, progress reviews, and shared documentation are common practices to keep everyone aligned. This cross-functional collaboration is essential for addressing feasibility, optimizing models, and delivering successful products on schedule.

What does a Product Manager for Machine Learning do?

A Product Manager for Machine Learning oversees the development and deployment of machine learning products or features. They work closely with data scientists, engineers, and business stakeholders to identify opportunities where machine learning can deliver value, define product requirements, and guide projects from conception to launch. Their responsibilities include setting the product vision, prioritizing features, ensuring alignment with business goals, and evaluating the impact of machine learning solutions. They also help bridge the gap between technical teams and non-technical stakeholders by translating complex concepts into actionable plans.

What is the difference between Product Manager Machine Learning vs Data Scientist?

AspectProduct Manager Machine LearningData Scientist
Primary FocusOverseeing ML product development, strategy, and deploymentAnalyzing data, building models, and deriving insights
Required SkillsProduct management, ML understanding, cross-functional collaborationStatistics, programming, data analysis
Work EnvironmentProduct teams, engineering, business stakeholdersData analysis teams, research, engineering
Common CertificationsProduct management certifications, ML coursesData science certifications, programming skills

While both roles involve machine learning, Product Manager Machine Learning focuses on guiding ML products from conception to deployment, working closely with engineering and business teams. Data Scientists primarily analyze data and develop models to extract insights. The roles complement each other but differ in their core responsibilities and skill sets.

What are the key skills and qualifications needed to thrive as a Product Manager, Machine Learning, and why are they important?

To thrive as a Product Manager, Machine Learning, you need a solid understanding of product lifecycle management, data analytics, and machine learning concepts—often supported by a technical degree and relevant experience. Familiarity with tools like Python, SQL, JIRA, and machine learning frameworks, as well as certifications such as PMP or Agile, is highly beneficial. Outstanding communication, stakeholder management, and problem-solving skills help you bridge the gap between technical teams and business objectives. These abilities are crucial to successfully guide ML products from ideation to launch, ensuring they deliver real value and align with organizational goals.
What are popular job titles related to Product Manager Machine Learning jobs in Texas? For Product Manager Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Product Manager Machine Learning jobs in Texas look for? The top searched job categories for Product Manager Machine Learning jobs in Texas are:
What cities in Texas are hiring for Product Manager Machine Learning jobs? Cities in Texas with the most Product Manager Machine Learning job openings:
AI Machine Learning Engineer

AI Machine Learning Engineer

Oxy

Houston, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Oxy produces, markets and transports oil and natural gas to maximize value and provide resources fundamental to life. The company leverages its global leadership in carbon management to advance lower-carbon technologies and products. Headquartered in Houston, Oxy primarily operates in the United States, Middle East and North Africa. To learn more, visit Oxy
Oxy strives to attract and retain talented employees by investing in their professional development and providing rewarding opportunities for personal growth. Our goal is to meet the highest employer standards by ensuring the health and safety of our employees, protecting the environment and positively impacting our communities where we do business.
We are looking for an experienced and innovative individual contributor to fill the position of AI Machine Learning Engineer within our AI Center of Excellence group based in Houston, TX. The incumbent will research, build, and design artificial intelligence systems to automate predictive models, and design machine learning systems, models and schemes.
Essential Job Responsibilities
  • Work with Subject Matter Experts to design appropriate machine learning model types and architectures for particular applications ranging from subsurface characterization, reservoir engineering, production, and facilities etc
  • Tune algorithm hyper-parameters and perform model training and validation
  • Create workflows to optimize performance for computationally heavy workloads
  • Collaborate with Machine Learning Operation team to deploy machine learning solutions to the cloud

Qualifications
  • Bachelor's degree in computer science, mathematics, physics, engineering or related field required
  • Master's degree is highly preferred. Equivalent combination of advanced education and relevant experience will be considered.
  • A minimum of 5 years of experience and deep knowledge in orchestration methods and tools to optimally use computational infrastructure, and machine learning methods and algorithms
  • Strong Python or R programming skills required
  • Experience developing, architecting, and running ML or deep learning workload in the Cloud.
  • Ability to express the intuition behind basic ML algorithms
  • Experience performing basic hyper parameter optimization
  • Ability to follow model training, deployment, and operational best practices
  • Experience with Docker for containerization and Kubernetes for orchestration
  • Knowledge of Terraform and Ansible for automating infrastructure management
  • Knowledge of YAML for automating model and application code deployment
  • Understanding of data engineering principles and databases (relational, NoSQL)
  • Strong critical thinking and communication skills

Additional Desired Qualifications:
  • AWS certification is highly preferred, with a strong preference for the AWS Certified Machine Learning - Specialty credential.
  • Experience with Bayesian statistical modeling, including Bayesian inference, Markov chain Monte Carlo (MCMC), and causal inference.
  • Hands-on experience in geospatial data analytics using Esri products, with a focus on ArcGIS Enterprise.
  • Experience with LLM-powered applications such as chatbots, question-answering systems, document processing and agentic workflow design.

Recruitment Fraud
It has come to our attention various individuals and/or organizations are contacting people falsely pretending to recruit on behalf of Oxy. Please be aware that these recruiting scams and communications do not originate nor are they associated with our recruitment process. All Oxy job postings and offers will require a completed application through our company website.
Oxy does not charge a fee at any stage of the recruiting process. We will never:
• Ask you to pay for applications, interviews, meetings, processing, training or for any other fees
• Use recruiting or placement agencies that charge candidates an advance fee of any kind or
• Request personal information such as passport and bank account details at an early stage of our recruitment process.
We recommend against responding to unsolicited business propositions or offers from people you don't know. Do not disclose your personal or financial details. If you believe you have been the victim of a recruiting scam, please contact your local police department.
All qualified applicants will receive consideration for employment without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Oxy logo

About Oxy

Sourced by ZipRecruiter

For 100 years, Oxy has developed extensive assets, infrastructure, expertise and technology to fuel progress and improve lives around the world. Now we’re leveraging these resources to help solve the planet’s most pressing environmental challenges. We want to be part of the solution, so we're taking bold steps to innovate new technologies for a low-carbon future. Oxy produces energy and essential products to sustain and improve life on our planet. Our experienced teams, located in the United States, Middle East, Africa and Latin America, are committed to safe and efficient operations and products, and to reducing our carbon footprint and helping others do the same.

Industry

Oil and gas extraction

Company size

10,000+ Employees

Headquarters location

Houston, TX, US