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Director Machine Learning Jobs in Texas (NOW HIRING)

webAI

Director of Applied AI

Austin, TX · On-site

The Director of Applied AI will lead a cross-functional team to design, develop, and deploy ... Every leader in this company is hands-on. • 8+ years of experience in applied machine learning ...

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Director Machine Learning information

See Texas salary details

$33.5K

$85.6K

$131.4K

How much do director machine learning jobs pay per year?

As of Jul 2, 2026, the average yearly pay for director machine learning in Texas is $85,649.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $98,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Director Machine Learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

What is a Director Machine Learning job?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a Director of Machine Learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the most commonly searched types of Machine Learning jobs in Texas? The most popular types of Machine Learning jobs in Texas are:
What are popular job titles related to Director Machine Learning jobs in Texas? For Director Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Director Machine Learning jobs in Texas look for? The top searched job categories for Director Machine Learning jobs in Texas are:
What cities in Texas are hiring for Director Machine Learning jobs? Cities in Texas with the most Director Machine Learning job openings:
Director Machine Learning jobs near you

AI / Machine Learning Engineer Leaders and Decision-Makers for Workflow Management Tools - US

Prolific Academic Ltd

Austin, TX • On-site, Remote

$200/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

AI / Machine Learning Engineer Leaders and Decision-Makers for Workflow Management ToolsAbout Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We are inviting experienced professionals in AI / Machine Learning Engineer leadership roles to participate in upcoming research projects focused on workflow management tools and development processes. We are particularly interested in individuals who are involved in evaluating, selecting, purchasing, or making decisions about workflow management tools within their organizations.

If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for our research tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to share your expertise with researchers and organisations who need real-world People Ops insight.

Researchers looking for your skills tend to pay up to $200 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

This opportunity is open to professionals who:

  • Hold a Manager-level position or above
  • Work in AI / Machine Learning Engineer, Software Engineering, Software Development, Product Management, or UX/Product Design
  • Currently use, or are actively considering using, workflow management tools
  • Participate in decision-making regarding development, product, or workflow management tools within an organization

Please note: This is a "bench" model. By verifying your credentials, you gain eligibility for research opportunities as they become available. Access is based on project demand and professional profile matching.

What you'll bring
  • Manager-level experience or higher in software engineering, product management, or product design functions
  • Experience evaluating, selecting, implementing, or managing workflow management tools
  • Familiarity with software development, product development, or design workflows
  • Involvement in purchasing decisions, tool selection, budgeting, or strategic recommendations related to development and collaboration tools
What you'll be doing in the role
  • Complete a paid screener to help us assess your background and suitability for specific research tasks
  • Participate in AI-moderated interviews/written tasks
  • Complete qualitative surveys and feedback activities
  • Share insights about workflow management practices, tool selection, and organizational needs
Key Technologies
  • Direct experience with tools such as Jira, Linear, Azure DevOps, GitHub Projects, GitLab Issues/Boards, Shortcut, Asana, ClickUp, or Monday.com is required.
Why Prolific is a great platform to join as a Participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

When you're ready to start, simply click on the link below:

Start the registration here!

Or copy and paste this link: https://app.prolific.com/register/participant/waitlist/?campaign_code=C4X667WC

Links to more information on Prolific

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.