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

Oxy

AI Machine Learning Engineer

Houston, TX · On-site

The company leverages its global leadership in carbon management to advance lower-carbon ... Work with Subject Matter Experts to design appropriate machine learning model types and ...

Oxy

AI Machine Learning Engineer

Houston, TX

Knowledge of Terraform and Ansible for automating infrastructure management * Knowledge of YAML for ... for the AWS Certified Machine Learning - Specialty credential. * Experience with Bayesian ...

Talentry, LLC

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Machine Learning Guru (Autonomous Navigation)**

Houston, TX · Remote

$200K - $300K/yr

Manage the full life cycle of machine learning projects, including data analysis and model verification. * Collaborate with product, simulation, and algorithm teams to integrate machine learning ...

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Machine Learning Manager information

See Houston, TX salary details

$48.7K

$78K

$112.7K

How much do machine learning manager jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning manager in Houston, TX is $78,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $88,300.00 per year, depending on experience, location, and employer.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

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

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
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 Machine Learning Manager jobs in Houston, TX? For Machine Learning Manager jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Manager jobs in Houston, TX look for? The top searched job categories for Machine Learning Manager jobs in Houston, TX are:
What cities near Houston, TX are hiring for Machine Learning Manager jobs? Cities near Houston, TX with the most Machine Learning Manager job openings:
Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in Houston, TX as of May 2026, with employment types broken down into 2% As Needed, 50% Full Time, 46% Part Time, and 2% Temporary. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $78,029 per year, or $37.5 per hour.
AI Machine Learning Engineer

AI Machine Learning Engineer

Oxy

Houston, TX • On-site

Full-time

Posted 29 days ago

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.
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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

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