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Machine Learning Manager Jobs in Grand Prairie, TX

As an Machine Learning AI Development Manager for the AEC Solutions group, you will lead your team to build foundation models and machine learning tools for the AEC industry. You will coach your team ...

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... management. Responsibilities Key Responsibilities: * Collaborate with cross-functional teams ...

Who we're looking for Toyota's Data Science department is looking for an experienced technical leader to manage the team that builds and operates production-grade machine learning, analytics ...

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... management. Qualifications: * Bachelor's or master's degree in computer science, engineering ...

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... management. Qualifications: * Bachelor's or master's degree in computer science, engineering ...

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 ...

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)

Leads a team of Machine Learning Engineers responsible for designing, building, deploying, and ... Provides leadership in hiring, coaching, talent development, performance management, and ...

Work cross functionally with product managers, AI scientists and product engineers, and communicate ... Knowledge of machine learning techniques (i.e. classification, regression, and clustering)

Work cross functionally with product managers, AI scientists and product engineers, and communicate ... Knowledge of machine learning techniques (i.e. classification, regression, and clustering)

Lead Machine Learning Engineer

Plano, TX · On-site +1

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk ...

Lead Machine Learning Engineer

Plano, TX · On-site +1

$98K - $130K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk ...

Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI experience to join ... Contribute to architectural decisions around scalability, latency management, and backend ...

Apply Early

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Machine Learning Manager information

See Grand Prairie, TX salary details

$48.3K

$77.3K

$111.7K

How much do machine learning manager jobs pay per year?

As of Jul 2, 2026, the average yearly pay for machine learning manager in Grand Prairie, TX is $77,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $87,600.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data processing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and overseeing complex AI solutions, making complete replacement unlikely in the near term.

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning manager or director, often involving leadership, advanced technical skills, and strategic responsibilities. These roles usually require extensive experience, expertise in AI tools and frameworks, and may include performance-based bonuses or stock options that contribute to the total compensation. Such salaries are common in large tech companies or organizations with significant AI investments.

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.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies based on experience, location, and industry, but it is generally above average compared to many other tech roles.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams, tasks that require strategic thinking and human judgment. Roles that involve creative problem-solving, emotional intelligence, and domain-specific expertise, such as healthcare professionals, educators, and skilled tradespeople, are also likely to persist despite AI advancements. These jobs rely on human intuition and adaptability that AI cannot fully replicate.

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 Grand Prairie, TX? The most popular types of Machine Learning jobs in Grand Prairie, TX are:
What are popular job titles related to Machine Learning Manager jobs in Grand Prairie, TX? For Machine Learning Manager jobs in Grand Prairie, TX, the most frequently searched job titles are:
What cities near Grand Prairie, TX are hiring for Machine Learning Manager jobs? Cities near Grand Prairie, TX with the most Machine Learning Manager job openings:
Machine Learning Engineering Manager

Machine Learning Engineering Manager

Autodesk

Plano, TX • On-site

Other

Posted 21 days ago


Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

6th of 202 rated software companies


Job description

Job Requisition ID #

26WD99363

Position Overview

If you're looking to make a significant impact and shape the future of the AEC industry, this is the role for you. AI is the future of design and make, and Autodesk is pioneering the transformation of the AEC industry. We're enhancing our applications with cloud-native capabilities, including data at scale, edge computing, AI-based solutions, and advanced 3D modeling and graphics. This innovation is happening across our flagship products-AutoCAD, Revit, and Construction Cloud-and Forma, our new Industry Cloud.

As an Machine Learning AI Development Manager for the AEC Solutions group, you will lead your team to build foundation models and machine learning tools for the AEC industry. You will coach your team to collaborate across organizations to build the latest foundation models and generative AI tools for the AEC industry. You will also ensure that we maintain privacy and security standards respecting and safeguarding our customers' data.

You will report to the Senior AI/ML Development Manager in the Architecture, Engineering, and Construction (AEC) Solutions Team.

We support hybrid work, and you work near our Toronto, Canada or Boston, MA.

Responsibilities

  • Work with your team to help understand requirements, evaluate new features, and help build technology roadmaps

  • Build a new team by recruiting talent from diverse backgrounds and perspectives

  • Build partnerships with technical leads and important individuals within other functional organizations, to implement compelling solutions

  • Build an inclusive culture, mentor team members, and provide your team with the tools to reach their goals

  • Foster a culture of innovation, continuous improvement, and excellence

  • Keep up-to-date with the latest AI trends and apply this expertise to improve team performance and product quality

  • Create tactical execution plans and ensure adherence to budgets, schedules, and performance expectations

  • Educate leaders at Autodesk on best uses and practices of AI

  • Create processes that make gathering and processing large batches of geometry, physics, and design workflow data more automated and frictionless

Minimum Qualifications

  • MS in Machine Learning, Mathematics, Statistics, Computer Science, or a related field

  • 5+ years of experience in machine learning engineering or related field

  • 3+ years of experience as a manager

  • Experience building an innovative and creative team culture

  • Ability to break down a large, long lead projects into shorter, clear milestones to deliver value incrementally

  • Strong interpersonal skills and ability to work across many organizations

  • Experience with Scrum and Agile development processes and methodologies

Preferred Qualifications

  • Experience in the AEC industry, Autodesk products such as Revit, and AEC data schemas and standards

  • Experience training deep neural nets, such as CNN and transformers and proficiency in least one deep learning framework, for example PyTorch, TensorFlow

  • Strong fundamentals in 3D geometry and geometric computer vision

  • Exposure to Cloud Computing in AWS and using the SageMaker Studio platform

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk's competitive compensation package. For Canada based roles, we expect a starting base salary between $0 and $0. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).


What Autodesk employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom


Autodesk logo

About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982