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Remote Director Machine Learning Jobs in Dallas, TX

Sr/Staff Data Scientist (Remote - US)

TX · On-site +1

$165K - $300K/yr

REMOTE Anticipated Start Date: 07/01/2026 The US base salary range for this full-time position is ... Lead the development and deployment of advanced machine learning models to forecast outcomes and ...

... direct supervision. This internship provides hands-on experience applying data-driven solutions to business challenges through data analysis, reporting, visualization, machine learning, and emerging ...

Lead Research Engineer

Frisco, TX · On-site +1

$95K - $126K/yr

As a member of Thomson Reuters Labs, you will have a direct impact on our company and develop ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

Deep understanding of AI security concepts, including machine learning, threat detection, anomaly ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

Deep understanding of AI security concepts, including machine learning, threat detection, anomaly ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

Be Seen First

Remote About the Role micro1 is partnering with a leading AI lab to hire data scientists and ... You'll bring rigor to how AI models handle statistics, machine learning, experimentation, and ...

AI Director

Fort Worth, TX · On-site +1

$190K - $210K/yr

This role is fully remote. Eligible candidates must be authorized to work in the US without visa ... Proven experience designing, deploying, and scaling production AI, machine learning, RAG, or ...

Remote (Preferred: Philippines, Latin America, or North America) Employment Type: Full-Time / ... Candidates with experience in machine learning, large language models (LLMs), AI agents, and ...

Showing results 21-40

Remote Director Machine Learning information

See Dallas, TX salary details

$35.6K

$90.9K

$139.5K

How much do remote director machine learning jobs pay per year?

As of Sep 9, 2026, the average yearly pay for remote director machine learning in Dallas, TX is $90,943.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,700.00 and $104,900.00 per year, depending on experience, location, and employer.

What does a remote director of machine learning do?

A Remote Director of Machine Learning leads teams of data scientists and engineers to develop, implement, and oversee machine learning solutions for an organization, all while working remotely. They are responsible for setting the strategic direction for ML projects, collaborating with stakeholders, and ensuring that models align with business objectives. This role typically involves both technical leadership—such as reviewing algorithms and architectures—and managerial duties, such as mentoring staff and managing budgets. Working remotely, they use digital collaboration tools to communicate, monitor progress, and deliver results effectively.

How does a remote director of machine learning typically coordinate and lead distributed teams across different time zones?

As a Remote Director of Machine Learning, effective coordination of distributed teams requires strong communication strategies, including regular video meetings, clear documentation, and use of collaborative project management tools. Leaders in this role often establish overlapping core hours and leverage asynchronous communication to accommodate various time zones. They focus on aligning goals, fostering a culture of transparency, and ensuring continuous progress through well-defined milestones. Building trust and maintaining team engagement remotely are common challenges, but successful directors prioritize mentorship, feedback, and virtual team-building activities to create a cohesive work environment.

What are the key skills and qualifications needed to thrive as a remote director of machine learning, and why are they important?

To thrive as a Remote Director of Machine Learning, you need advanced expertise in machine learning algorithms, data science, and leadership, typically supported by a graduate degree in a related field and extensive experience in deploying ML solutions. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and experience with project management systems is essential, and certifications such as AWS Certified Machine Learning can be advantageous. Outstanding communication, strategic thinking, and the ability to mentor and manage distributed teams are crucial soft skills in this role. These skills and qualities are vital to successfully lead innovative ML projects, align technical teams with business goals, and drive impactful outcomes in a remote environment.

What is the difference between Remote Director Machine Learning vs Remote Data Science Manager?

AspectRemote Director Machine LearningRemote Data Science Manager
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related field; experience in ML algorithmsMaster's in Data Science, Statistics, or related; strong analytical background
Work EnvironmentLeads ML teams, develops models, and oversees deployment in tech-focused companiesManages data science teams, focuses on insights and analytics for business decisions
Employer & Industry UsageTech firms, AI startups, large enterprises with AI initiativesFinancial, healthcare, retail, and other industries leveraging data insights

While both roles require advanced education and involve data-driven work, the Remote Director Machine Learning primarily focuses on leading ML model development and deployment, whereas the Remote Data Science Manager emphasizes managing data analysis teams and deriving business insights.

What are the most commonly searched types of Remote Machine Learning jobs in Dallas, TX?

The most popular types of Remote Machine Learning jobs in Dallas, TX are:

What are popular job titles related to Remote Director Machine Learning jobs in Dallas, TX?

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

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

The top searched job categories for Remote Director Machine Learning jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Remote Director Machine Learning jobs?

Cities near Dallas, TX with the most Remote Director Machine Learning job openings:

Infographic showing various Remote Director Machine Learning job openings in Dallas, TX as of August 2026, with employment types broken down into 20% Internship, 60% Full Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $90,943 per year, or $43.7 per hour.

Sr/Staff Data Scientist (Remote - US)

TX • On-site, Remote

BNSF Railway
Couriers and Messengers Services • 10K+ employees

$165K - $300K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 4 days ago


BNSF Railway rating

7.1

Company rating: 7.1 out of 10

Based on 151 frontline employees who took The Breakroom Quiz

196th of 365 rated logistics


Job description

be part of a team that values safety, inclusion, and excellencewe are one of the largest U.S. railroads transporting the nation's freight across 28 western states and 3 Canadian provinces. as a member of our team, you will play a role in supporting the movement of essential products and materials that help feed, clothe, supply, and power communities throughout America and the world.
bnsf | tech: innovating and transforming the future of freight railbnsf | tech is the technology division making BNSF the preeminent freight and mobility company in north america.are you ready to drive change?if you are passionate about making a difference and eager to advance your career in a dynamic and supportive environment, we want you on our team! join us in reshaping the future of freight rail and discover a fulfilling career where your contributions matter.we are committed to a culture where all employees are included, belong, and have equal opportunity to achieve their full potential. Come make a difference with us!
Learn more about BNSF and our Benefits
Job Location: REMOTE
Anticipated Start Date: 07/01/2026
The US base salary range for this full-time position is provided below:
Salary Range: $165,000-$300,000
L5: $165,000 - $220,00
L6: $225,000 - $300,000
The range represents the amount bnsf | tech reasonably expects to pay for the position based on the level, scope, and responsibilities of the role. Individual compensation and level of position offered is determined by the hiring location and additional factors including but not limited to job-related skills, experience, and relevant education or training. In addition to base pay and bonus eligibility, BNSF offers a comprehensive benefits package.
This is a full-time remote position. Employees may work from anywhere within the contiguous 48 states of the United States
Travel is up to 20%. Employees will be required to occasionally travel to our corporate headquarters in Fort Worth, TX for in person meetings. Travel expenses for business needs will be covered by BNSF.
This position is open to candidates who are currently authorized to work in the United States. We are also open to sponsoring H-1B transfers, TN nonimmigrant status, and STEM OPT candidates with at least 2 years of remaining eligibility.
Apply early as this job may be removed or filled prior to the closing date, which is approximately seven (7) days after the posting date.
data & ai: lead our charge into the future as an ai company by transforming our data assets into a real time enterprise.
Key responsibilities may include:
Lead cross-functional collaboration to identify and define analytic initiatives, formulate strategies, and develop solutions to achieve business goals through effective use of data machine learning models.
Apply data science skills to analyze large, complex datasets and identify meaningful patterns that lead to actionable insights and data-driven solutions to business problems.
Lead the development and deployment of advanced machine learning models to forecast outcomes and optimize workflows.
Engage closely with stakeholders to grasp their requirements and deliver actionable insights that drive strategic decision-making.
Design and present compelling visualizations and reports to effectively communicate analytical findings.
Oversee the maintenance and enhancement of data pipelines to uphold data quality and precision.
Keep abreast of emerging trends and breakthroughs in data science and machine learning fields.
Proficiently extract, aggregate, and transform data from SQL and NoSQL databases, leveraging languages like R, Python, or other relevant tools for analysis and modeling. Build, test, and validate statistical, and machine learning models and analyses using Python, R, or other appropriate language as part of overall solution development.
Lead implementation of analytic solutions into reporting platforms or production systems by leading the solution design, development, testing, and monitoring.
Demonstrate operational excellence by monitoring, troubleshooting, and resolving production issues, including participating in a 24/7 on-call rotation.
The duties and responsibilities in this posting are representative categories to be used in deciding whether to apply for this position. This is not an exhaustive list of the position's duties.
At BNSF Railway, we encourage individuals from all backgrounds to apply, showcasing their skills, experiences and development. We provide resources and tools to help you reach your full potential, fostering a supportive and inclusive environment.
Basic Qualifications
  • Minimum 6 years of experience with building optimization algorithms or relevant experience.
  • Advanced proficiency in programming languages such as Python, R, SQL, and Java.
  • Demonstrated expertise in utilizing data visualization tools to communicate insights clearly and effectively.
  • In-depth experience with data science cloud platforms and their integration into business solutions.
  • Exceptional intellectual curiosity and a proven ability to thrive in a fast-paced, collaborative team environment.
  • Track record of rapidly acquiring new technical skills and adapting to cutting-edge technologies.
  • Strong communication skills to articulate technical concepts to diverse audiences with clarity and professionalism.
  • Deep understanding and application of statistical analysis and advanced machine learning techniques.
  • Must understand and have proficiency in the core architecture of LLMs (e.g., transformers and attention mechanisms)
  • Experience with prompt engineering techniques, including chain-of-thought prompting, Retrieval-Augmented Generation (RAG), fine-tuning of language models, and evaluation methodologies.
  • Experience with Vector Databases and embeddings.
  • Experience with Model Fine-tuning.
  • Experience with GPU optimization.

Preferred Qualifications
  • Bachelor's degree or higher in Operations Research, Computer Science, Industrial Engineering or a related field. Ph.D is a plus.
  • Knowledge of geospatial analytics, route optimization, and GIS concepts.
  • Previous hands-on experience with AI/Machine Learning frameworks and tools, showcasing innovative solutions.
  • Extensive background in Rail, Shipping, Airline, Logistics, Warehousing, Supply Chain, or Transportation industries, or in the High-Tech sector.
  • Proficiency in leveraging open-source libraries and frameworks to drive data science initiatives.
  • Seasoned in Agile methodologies like Scrum, Kanban, or SAFe for efficient project management and delivery at a senior level.

At BNSF, you will have access to a comprehensive and competitive benefits package including:
  • An industry-leading 401(k) and renowned Railroad Retirement program.
  • A range of robust health care options for you and your dependents (including domestic partners), including medical, dental, vision, telemedicine, mental health, cancer support, and high-quality care network options.
  • Health care spending accounts (HSA) with employer contributions, as well as life and disability insurance, provided at no cost.
  • Family benefits including parental, pediatric and family building support, adoption and surrogacy reimbursement, and dependent care spending account (with employer match).
  • Access to discounts on travel, gym memberships, counseling services and wellness support.
  • Annual bonus (Incentive Compensation Program)
  • Generous leave / time off policies.
  • For more information, visit Benefits.

Federal authority requires BNSF employees, whose work requires unescorted access to secure areas of port facilities, to obtain a TWIC. More information is available at https://www.tsa.gov/for-industry/twic
BNSF Railway is an Equal Opportunity Employer, all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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