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Product Manager Machine Learning Jobs in Texas (NOW HIRING)

Lawrence Harvey

Senior Machine Learning Engineer

Austin, TX · On-site

$210K - $260K/yr

Partner with product managers and engineers to translate business problems into scalable machine learning solutions. * Design, develop and deploy production-ready machine learning models across areas ...

Ziosk

Product Manager (on-site)

Plano, TX · On-site

Product Manager (onsite) - Plano, TX Welcome to Ziosk, where we empower restaurants to focus on ... Use machine learning- based competitive scans, industry forecasting, and restaurant workflow ...

Q2 India

Machine Learning Engineer

Austin, TX · On-site

$100 - $130/hr

... manager**RESPONSIBILITIES** • Design and implement machine learning algorithms and models for ... integrate AI solutions into production environments • Analyze large datasets to extract ...

Dow

Machine Learning Engineer

Houston, TX · On-site

Deploys and monitors machine learning models in production using Databricks Model Registry, Jobs ... Ability to manage own work effort in multiple projects with little supervision * Interested in ...

Dow

Machine Learning Engineer

Houston, TX · On-site

$120 - $160/hr

Deploys and monitors machine learning models in production using Databricks Model Registry, Jobs ... Ability to manage own work effort in multiple projects with little supervision * Interested in ...

UNAVAILABLE

Machine Learning Engineer

Frisco, TX · On-site

$140 - $190/hr

You'll work with large-scale image and video data, building and optimizing production-grade vision ... Contribute to our machine learning repositories and optimize models for performance, scalability ...

Q2

Machine Learning Engineer

Austin, TX · Hybrid

... manager RESPONSIBILITIES Design and implement machine learning algorithms and models for various ... production environments Analyze large datasets to extract meaningful insights and support data ...

Avride

Machine Learning Engineer

Austin, TX · On-site

The role involves developing and optimizing machine learning models, managing large-scale datasets, and collaborating with cross-functional teams to integrate solutions into real-world applications.

Neuralink

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

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 ...

Roku

Senior Machine Learning Engineer

Austin, TX

$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 21-40

All JobsProduct Machine Learning JobsProduct Manager Machine Learning JobsProduct Manager Machine Learning Jobs in Texas

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 Aug 16, 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 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 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?

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:

Product Manager Machine Learning jobs near you
Infographic showing various Product Manager Machine Learning job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 11% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $148,510 per year, or $71.4 per hour.

Senior Machine Learning Engineer

Lawrence Harvey

Austin, TX • On-site

$210K - $260K/yr

Full-time

Posted 19 days ago

Job description

  • Senior Machine Learning Engineers needed for high growth tech company
  • Austin, TX - must be willing to work in office 4 days a week
  • High competitive salary + equity + strong benefits

Senior Machine Learning Engineer
We're partnering with a fast-growing technology company that's building machine learning systems at significant scale to solve complex real-world challenges. Their platform processes billions of transactions annually and uses advanced AI to power intelligent decision-making for millions of end users.
As a Senior Machine Learning Engineer, you'll work at the intersection of machine learning and software engineering, collaborating closely with product and engineering teams to design, build and deploy production-grade ML models that directly influence business outcomes.
Compensation
  • Total compensation: $335k-$400k
  • Base salary: $210k-$260k
  • Equity package included
  • Comprehensive benefits

What you'll do
  • Partner with product managers and engineers to translate business problems into scalable machine learning solutions.
  • Design, develop and deploy production-ready machine learning models across areas such as ranking, prediction, optimisation, forecasting and recommendation.
  • Build robust data pipelines, engineer high-quality features and integrate models into scalable production infrastructure.
  • Monitor model performance, detect drift and continuously improve model accuracy through retraining and experimentation.
  • Write clean, well-tested, production-quality code and contribute to engineering best practices across testing, reliability and performance.
  • Research emerging machine learning techniques, prototype new approaches and validate ideas through offline and online experimentation.

What we're looking for
  • PhD or Master's degree in Computer Science, Statistics, Mathematics or a related quantitative discipline (or equivalent industry experience).
  • Strong background in machine learning and software engineering with experience delivering production ML systems.
  • Expertise in one or more of the following areas:
    • Recommender systems
    • Bayesian machine learning
    • Multi-task learning
    • Meta-learning
    • Ranking, prediction or optimisation models
  • At least 3 years of experience building end-to-end machine learning systems, including training, deployment, serving and monitoring.
  • Experience with modern ML infrastructure such as TensorFlow, Kubeflow (or similar) and feature stores is highly desirable.
  • Familiarity with large-scale deep learning architectures used for recommendation or ranking systems is a plus.

Working arrangements
  • Hybrid working model with four days per week in the office and one day working remotely.

This is an opportunity to join a highly technical engineering team where machine learning sits at the core of the product. You'll have the chance to work on challenging problems at scale, collaborate with experienced engineers and researchers, and see your work make a measurable impact.

Apply