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Remote Senior Machine Learning Engineer Jobs in Dallas, TX

Senior Software Engineer

Dallas, TX ยท Remote

$125K - $165K/yr

DomainTools is hiring a Senior Software Engineer to join our Engineering Team. This role is perfect ... Experience with data mining or machine learning techniques * Experience with text codec, encoding ...

AI Lead Engineer

Dallas, TX ยท On-site +1

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills * Artificial Intelligence (AI) & Machine Learning (ML) * Deep Learning * Generative AI (GenAI) * Large Language Models (LLMs) * Prompt ...

AI Lead Engineer

Dallas, TX ยท Remote

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills Artificial Intelligence (AI) & Machine Learning (ML) Deep Learning Generative AI (GenAI) Large Language Models (LLMs) Prompt ...

Senior AI Engineer

Dallas, TX ยท On-site +1

$103K - $142K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

Lead Research Engineer

Frisco, TX ยท On-site +1

$95K - $126K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

Research Scientist Senior

Grand Prairie, TX ยท On-site +1

$93K - $118K/yr

Develops scalable machine learning and reinforcement learning systems that improve healthcare ... Partners effectively across business, research, engineering, analytics, and product teams.

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 ...

Sr/Staff Data Scientist (Remote - US)

TX ยท On-site +1

$165K - $300K/yr

Lead the development and deployment of advanced machine learning models to forecast outcomes and ... Advanced proficiency in programming languages such as Python, R, SQL, and Java. * Demonstrated ...

Senior Business Analyst (Remote Opportunity)

Dallas, TX ยท Remote

$91K - $118K/yr

Experience supporting AI or machine learning-enabled healthcare solutions, responsible AI and data ... Azure DevOps or Jira, requirements management tools, AI-assisted requirements validation and ...

Showing results 41-60

Remote Senior Machine Learning Engineer information

See Dallas, TX salary details

$74.7K

$141.7K

$189.9K

How much do remote senior machine learning engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote senior machine learning engineer in Dallas, TX is $141,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,200.00 and $159,800.00 per year, depending on experience, location, and employer.

How do remote senior machine learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

What is the difference between Remote Senior Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

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

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

What does a remote senior machine learning engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

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

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

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

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

Infographic showing various Remote Senior Machine Learning Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $141,749 per year, or $68.1 per hour.

Senior Software Engineer

DomainTools

Dallas, TX โ€ข Remote

$125K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Job description

DomainTools is hiring a Senior Software Engineer to join our Engineering Team. This role is perfect for a creative problem-solver with deep expertise in large-scale data engineering and a passion for technical leadership and continuous improvement. You'll be a key technical collaborator, not only designing and maintaining complex systems but also accelerating engineering productivity and mentoring the next generation of engineers.

We are looking for someone with a strong background in Python, Rust, GoLang, and cloud infrastructure (AWS, Docker, Kubernetes) who is eager to take on big challenges and deliver high-quality, impactful results.

Job Responsibilities

  • Design, code and maintain web-scale data systems
  • Discover, analyze and validate new data sets to add value for our customers
  • Creative problem solving to necessarily complex systems
  • Research, prove and employ cutting edge techniques & technologies
  • Provide code reviews, design feedback, demos, technical requirements & documentation
  • Provide accurate, scope, estimates for time, capacity & costs of projects
  • Improve the lives of your coworkers by accelerating engineering productivity, reducing operational toil and increasing consistency
  • Provide technical leadership, assist in on-boarding & mentoring of junior engineers

Requirements

  • 5+ years of professional development experience with Python, GoLang, Rust or equivalent languages. Expertise in Rust and Python is highly valued.
  • 3+ years of experience with cloud infrastructure, specifically AWS, Docker, and Kubernetes.
  • 3+ years of experience with web-scale data engineering, leveraging data stores such as OpenSearch, Postgres (or PSQL), CockroachDB and Spark.
  • 3+ years of professional experience with Kafka.
  • 5+ years of experience working with Linux/Unix environments.
  • Excellent written and verbal communication skills.
  • Proven ability to coordinate effectively between multiple teams.
  • A positive attitude, strong interpersonal skills, and a genuine enjoyment of collaborating with, mentoring and assisting teammates.
  • Exceptional attention to detail and a commitment to delivering high-quality results.
  • Demonstrated history of high initiative and productivity that consistently adds value.
  • A proactive attitude towards continuous learning, particularly in unfamiliar domains.
  • Excited and passionate about working within the security space.

Pluses

  • Bachelor's degree or higher in Computer Science/related field or equivalent experience
  • Design, implementation and/or maintenance of CICD & microservices
  • Experience with Data Pipelines such as ElasticSearch, NATS or Apache Airflow
  • Experience with data mining or machine learning techniques
  • Experience with text codec, encoding & web protocols
  • Bash, Scala, C, or Hive development experience
  • Experience with full stack development

Benefits

DomainTools is the global leader for Internet intelligence and the first place security practitioners go when they need to know. The world’s most advanced security teams use our solutions to identify external risks, investigate threats, and proactively protect their organizations in a constantly evolving threat landscape. DomainTools constantly monitors the Internet and brings together the most comprehensive and trusted domain website and DNS data to provide immediate context and machine-learning driven risk analytics delivered in near real-time.

DomainTools offers a comprehensive benefits package to our employees that includes fully paid medical, dental and vision insurance premiums, a 401k retirement plan with company matching, basic life insurance, flexible PTO and additional well-being benefits.

DomainTools embraces diversity, equity and inclusion to its fullest as an equal opportunity employer. We build our teams so creativity and innovation can flourish. We believe inclusivity and equity fosters innovation and growth, and we harness this mindset to drive a culture that serves our employees and our customers. We encourage people of all backgrounds, ages, perspectives and skill sets to apply; and do not discriminate based on age, religion, color, national origin, gender, sexual orientation, gender identity, marital status, veteran status, disability or any other characteristic protected by law.