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Director Machine Learning Jobs in Dallas, TX (NOW HIRING)

... machine learning, and analytics solutions that create measurable business value across the ... direct authority. Preferred : โ€ข Advanced degree in a quantitative or technical field. โ€ข ...

Lead the delivery of secure, scalable, cloud-native applications that leverage advanced analytics, machine learning, generative AI, and intelligent automation. * Champion Responsible AI principles ...

... machine learning, generative AI, and intelligent automation. โ€ข Champion Responsible AI principles and AI-DLC governance, including model evaluation, monitoring, data governance, security, privacy ...

Lead the delivery of secure, scalable, cloud-native applications that leverage advanced analytics, machine learning, generative AI, and intelligent automation. Champion Responsible AI principles and ...

Data Engineer

Richardson, TX

$103K - $124K/yr

Lead the architecture and implementation of production-grade data science and machine learning ... You influence decisions well beyond your direct project work. * You help the organization use data ...

Data Engineer

Richardson, TX ยท On-site

$103K - $124K/yr

Lead the architecture and implementation of production-grade data science and machine learning ... You influence decisions well beyond your direct project work. * You help the organization use data ...

Lead the architecture and implementation of production-grade data science and machine learning ... You influence decisions well beyond your direct project work. * You help the organization use data ...

Showing results 41-60

Director Machine Learning information

See Dallas, TX salary details

$34.9K

$89.2K

$136.8K

How much do director machine learning jobs pay per year?

As of Aug 6, 2026, the average yearly pay for director machine learning in Dallas, TX is $89,182.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,400.00 and $102,800.00 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?

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 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 Dallas, TX? The most popular types of Machine Learning jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Director Machine Learning jobs? Cities near Dallas, TX with the most Director Machine Learning job openings:
Infographic showing various Director Machine Learning job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $89,182 per year, or $42.9 per hour.

Associate Director, AI Application Engineer

Raytheon Technologies

Mckinney, TX โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

Date Posted:
2026-07-13
Country:
United States of America
Location:
US-TX-MCKINNEY-513WA ~ 2501 W University Dr ~ WING A BLDG
Position Role Type:
Onsite
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Security Clearance Type:
DoD Clearance: TS/SCI
Security Clearance Status:
Active and existing security clearance required after day 1
At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.
Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedom and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense.
Raytheon Software Engineering is seeking an experienced and delivery-focused Associate Director- Artificial Intelligence (AI) Application Engineer to drive applied AI innovation across classified and unclassified environments. This individual will directly contribute to hands-on development, organizational enablement, secure deployment of AI/Machine Learning (ML) capabilities, and advanced research transition. The ideal candidate is not a theorist but a proven executor who delivers real capability into programs and generates business value.
What You Will Do
  • Integrate and deploy AI/ML models, especially Large Language Models (LLMs) and emerging architectures
  • Build and operate secure AI pipelines across cloud, tactical, and embedded environments
  • Transition prototypes into production systems; support applied research maturation
  • Provide organizational enablement through guidance, training, and best practices
    Collaborate across engineering, research, program leadership, and customers
  • Evaluate new technologies, ensuring compliance with security and government standards
  • Contribute to proposals and technical communication
  • Design, integrate, and govern agentic AI systems with guardrails and operational safety
  • Apply agent-based workflows that improve engineering and mission execution

Qualifications You Must Have
  • Typically requires a STEM degree with a minimum of 12 years' relevant experience
  • Experience as an AI Practitioner applying AI technologies to solve challenges including SW Dev, SW Security, automation and operational workflows
  • Experience with delivery of production AI systems
  • Experience designing, training, and deploying Large Language Models (LLMs) and advanced machine-learning models, including implementing secure ML Ops and DevSecOps practices
  • Experience with Python and modern machine -learning frameworks
  • Experience deploying AI in cloud and constrained/embedded environments
    Experience leading workstreams
  • Ability to obtain and maintain a U.S. Government issued TS/SCI security clearance after day 1. U.S. Citizenship is required as only US Citizens can acquire clearance

Qualifications We Prefer
  • Experience with delivery of production AI systems
  • Classified program experience
  • Embedded AI optimization experience
  • Integration of AI into legacy/multi-domain systems
  • Familiarity with government AI assurance and safety standards
  • Active U.S. Government issued TS/SCI security clearance

What We Offer
  • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation
  • Relocation Eligibility

Learn More & Apply Now!
  • Please consider the following role type definition as you apply for this role
  • Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products

This position requires security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: https://www.state.gov/m/ds/clearances/c10978.htm
Locations : McKinney, TX Tucson, AZ Tewksbury, MA
  • We Are RTX

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 157,200 USD - 298,800 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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