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Product Manager Machine Learning Jobs in Dallas, TX

Quarterhill

Machine Learning Engineer

Frisco, TX · On-site

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 ...

Addison Group

Machine Learning Developer

Dallas, TX · On-site

$115K - $140K/yr

... production environments. This is a hands-on individual contributor role with significant influence ... Manage the full model lifecycle, including experiment tracking, model registration, version control ...

Addison Group

Machine Learning Developer

Dallas, TX · On-site

$115K - $140K/yr

... production environments. This is a hands-on individual contributor role with significant influence ... Manage the full model lifecycle, including experiment tracking, model registration, version control ...

SuperMom's LLC

Machine Learning Engineer II

Irving, TX · On-site

Collaborate with data engineers, data scientists, product owners, and business stakeholders to ... Implement MLOps best practices for model deployment, monitoring, and lifecycle management. * Create ...

7-ELEVEN

Machine Learning Engineer II

Irving, TX · On-site

Collaborate with data engineers, data scientists, product owners, and business stakeholders to ... Implement MLOps best practices for model deployment, monitoring, and lifecycle management. * Create ...

7-Eleven

Machine Learning Engineer II

Irving, TX · On-site

Collaborate with data engineers, data scientists, product owners, and business stakeholders to ... Implement MLOps best practices for model deployment, monitoring, and lifecycle management. * Create ...

Capital One

Staff Machine Learning Engineer

Plano, TX · On-site +1

Master's Degree * 3+ years of experience designing, implementing, and scaling production-ready data ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Yum! Brands

Machine Learning Engineer II

Plano, TX · On-site

... management. Qualifications: * Bachelor's or master's degree in computer science, engineering ... Proven experience (4+ years) in developing and deploying in production environments, preferably in ...

HumCap, Inc.

Product Manager

Plano, TX · On-site

Qualifications * 5+ years of Product Management experience with a proven track record of delivering ... Familiarity with AI-powered tools, analytics, automation, and machine learning concepts. * Strong ...

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Showing results 21-40

All JobsProduct Machine Learning JobsProduct Manager Machine Learning JobsProduct Manager Machine Learning Jobs in Dallas, TX

Product Manager Machine Learning information

See Dallas, TX salary details

$50.9K

$157.7K

$194.9K

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

As of Sep 12, 2026, the average yearly pay for product manager machine learning in Dallas, TX is $157,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,500.00 and $194,900.00 per year, depending on experience, location, and employer.

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 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.

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 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 popular job titles related to Product Manager Machine Learning jobs in Dallas, TX?

For Product Manager Machine Learning jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Product Manager Machine Learning jobs in Dallas, TX look for?

The top searched job categories for Product Manager Machine Learning jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Product Manager Machine Learning jobs?

Cities near Dallas, TX 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 Dallas, TX as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $157,688 per year, or $75.8 per hour.

Machine Learning Engineer

Frisco, TX • On-site

Quarterhill
See more jobs at Quarterhillexternal

Full-time

Medical, Dental, Retirement, PTO

Re-posted 29 days ago

Job description

Overview
Quarterhill is seeking a Machine Learning Engineer to join our forward-thinking team building the next generation of Intelligent Transportation Systems. In this role, you will design, develop, and deploy state-of-the-artcomputer vision and language models that power scalable, real-world solutions. You'll work with large-scale image and video data, building and optimizing production-grade vision systems while contributing clean and modular code to shared repositories.
As part of our AI team, you'll collaborate closely with engineering teams to deliver high-impact features for our growing SaaS platform. The ideal candidate brings hands-on experience deploying computer vision and language models in production and applying MLOps best practices on cloud platforms.
Responsibilities
  • Fine-tune and deploy computer vision and deep learning models for object detection, object tracking, and OCR at scale.
  • Develop vision-language models and Mixture of Experts architectures, from experimental design through production deployment.
  • Architect Retrieval-Augmented Generation (RAG) systems, including vector store design, hybrid search strategies, chunking pipelines, and context relevance evaluation.
  • Apply MLOps best practices for training, evaluation, deployment, and monitoring of production grade computer vision models, with an emphasis on clean, modular, maintainable code.
  • Contribute to our machine learning repositories and optimize models for performance, scalability, and real-time inference across edge and cloud environments.
  • Drive performance optimization and scalability of ML systems across edge and cloud environments.
  • Collaborate with cross-functional teams to integrate computer vision solutions into end-to-end products, translating research outcomes into measurable platform impact.

This list of responsibilities might not cover everything you'll end up doing.
Qualifications
  • 5+ years of hands-on machine learning experience, with deep specialization in computer vision and a proven track record of shipping models to production.
  • Master's degree required (Ph.D. preferred) in Computer Science, Machine Learning, or a closely related field.
  • Extensive knowledge of computer vision architectures such as Vision Transformers and VLMs along with OpenCV and PIL.
  • Experience with MLOps tools (MLflow, Kubeflow, Docker, Kubernetes) able to own the full model lifecycle from experimentation through production monitoring.
  • Experience building and deploying LLM-based systems and Retrieval-Augmented Generation (RAG) pipelines, including vector store integration and retrieval evaluation.
  • Strong communicator who can translate complex research findings into actionable decisions for engineering and product stakeholders.

Benefits
We offer a Total Rewards plan designed with you and your family's health and wellness in mind that includes:
  • Paid days off (i.e. vacation, sick days, bereavement leave)
  • Health and Dental plans
  • Retirement plans
  • Employee and Family Assistance Program (EFAP)
  • Employee referral program

We welcome applicants from all backgrounds, regardless of race, color, religion, sex, veteran status, sexual orientation, gender identity, national origin, age, or disability or any other protected characteristics in accordance with applicable federal, state/provincial, and local laws. We're committed to creating a workplace where everyone feels valued and respected.
We appreciate all responses and will acknowledge only those being considered for an interview.
We respectfully request no calls or unsolicited resumes from Agencies.

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