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Remote Director Machine Learning Jobs in Dallas, TX

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... of the Director, Enterprise Architecture to build supervised and unsupervised Artificial ...

Principal Machine Learning Scientist

Dallas, TX · Remote

  • Medical

  • Life

  • Retirement

  • PTO

The Principal Machine Learning Scientist will design, develop, and deliverMachine ... Patents and publications in data science field a plus #LI-Remote Annual Pay Range: 134,400 - 190 ...

AI Engineering Associate Director

Plano, TX · Remote

$242K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote role to be located in the United States Key Responsibilities * Design, develop, and ... Hands-on experience building AI, machine learning, generative AI, analytics, automation, or data ...

AI Engineering Associate Director

Plano, TX · Remote

$242K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote role to be located in the United States Key Responsibilities * Design, develop, and ... Hands-on experience building AI, machine learning, generative AI, analytics, automation, or data ...

AI Engineering Associate Director

Plano, TX · Remote

$242K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote role to be located in the United States Key Responsibilities * Design, develop, and ... Hands-on experience building AI, machine learning, generative AI, analytics, automation, or data ...

AI Engineering Associate Director

Plano, TX · Remote

$242K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote role to be located in the United States Key Responsibilities * Design, develop, and ... Hands-on experience building AI, machine learning, generative AI, analytics, automation, or data ...

Technical Product Manager

Irving, TX · Remote

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... days remote Direct Hire - Must be authorized to work in the United States now and in the future ... machine learning, and large-scale enterprise workloads. Their collaborative, engineering-driven ...

Sr/Staff Data Scientist (Remote - US)

TX · On-site +1

$165K - $300K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

Lead Research Engineer

Frisco, TX · On-site +1

$95K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

New

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 ...

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Showing results 1-20

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 Aug 14, 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 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 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.

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.

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 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.

Machine Learning Engineer

Confie

Addison, TX • On-site, Remote

$110K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

Pay Range:
  • $110000 - $130000 / year

Our Perks & Benefits:_
  • Comprehensive benefits package including medical, dental, vision, and life insurance
  • Performance-based bonuses to reward your contributions*
  • Paid time off to recharge and maintain a healthy work-life balance
  • Flexible work options, including remote and hybrid opportunities, if eligible
  • Retirement Plan (401k) with company-matched contributions
  • Education Advancement, for employees and qualified dependents, via the Confie Enablement Scholarship Fund
  • Fitness Reimbursement - up to $15/month for gym memberships
  • Inclusive workplace through a strong commitment to Diversity, Equity, and Inclusion
  • Employee Assistance Program - confidential support for personal or professional challenges, at no cost
  • Extra Perks - optional plans for disability, hospital indemnity, health advocate program, universal life, critical illness, accident insurance, and even pet insurance

Purpose
Work under the guidance and supervision of the Director, Enterprise Architecture to build supervised and unsupervised Artificial Intelligence (AI)/Machine Learning (ML) models
Essential Duties & Responsibilities
Research, analyze, support, and implement machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark framework
Develop novel solutions using knowledge of the latest artificial intelligence/machine learning/natural language processing techniques and rigorous statistical analysis
Utilize LLMs and Generative AI to provide software automation capability integrations
Build and operationalize Retrieval Augmented Generation (RAG) frameworks
Enhance, develop, and deploy production-level machine learning models and algorithms that will improve Confie's business outcome/customer experience
Perform data cleansing, analysis, and feature engineering using Python
Ability to work with multiple data sources and types (structured/semi-structured/unstructured)
Assess the effectiveness and accuracy of new data sources and execute data-wrangling techniques
Participate and support other teams, as needed, for all aspects of model development, including design, model implementation, validation, calibration, documentation, product implementation, monitoring, and reporting
Communicate technical results in a clear, concise, and effective manner with emphasis on data visualization techniques
Collaborate with Data Scientists, Data Engineers, and Data Architects on production systems and applications
Stay up-to-date with industry trends and advancements in artificial intelligence/machine learning
On call support
Qualifications and Education Requirements
Master's degree in a quantitative/applied field (Engineering, Computer Science, Data Science, Operations Research, Mathematics, Statistics, Econometrics)
Expertise in manipulating and analyzing large data (e.g. exploratory analysis, model fitting, and visualization)
Proficient SQL skills and experience working with large data sets (big data, IoT data)
Proficient with programming and modeling using Python
Knowledge of modeling in pre-training & fine tuning foundation LLM models
Knowledge of LangChain and sentence transformer frameworks
Knowledge of ChatGPT4 (or comparable models)
Experience applying current machine learning techniques
Knowledge of evolving data science concepts and best practices
Other Duties
This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Notice
As permitted by applicable law and from time-to-time, Confie may use a computer system that has elements of artificial intelligence to help make decisions about your employment, including recruitment, hiring, renewal of employment, or the terms and conditions of your employment. Employees with questions about Confie's use of these computer systems should contact Human Resources at employeerelations@confie.com
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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About Confie

Sourced by ZipRecruiter

Industry

Insurance services

Company size

1,001 - 5,000 Employees

Headquarters location

Huntington Beach, CA, US

Year founded

2008