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Remote Machine Learning Compiler Engineer Jobs in Denton, TX

Sr/Staff Data Scientist (Remote - US)

TX · 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 ITSMA Observability Engineer

Dallas, TX · On-site +1

$103K - $142K/yr

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... HedgeServ supports employees through a variety of offerings, including remote and hybrid working ...

Senior Applied ML Engineer

Irving, TX · Remote

$125K - $183K/yr

We are looking for a Senior Applied ML Engineer to design, implement, and scale machine learning systems that power next-generation construction and digital twin solutions. You will apply advanced ML ...

We are looking for a motivated and passionate Machine Learning Engineers for our team. As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers that support ...

We are looking for a motivated and passionate Machine Learning Engineers for our team. As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers that support ...

Sr. Software Engineer

Dallas, TX · Remote

$170K - $220K/yr

Hybrid (3 days onsite, 2 days remote) Assignment Type: Direct Hire Pay: $170,000-$220,000 base ... AI or machine learning applications related to infrastructure Candidates should have a stable work ...

Senior Data Engineer - INDIA

Prosper, TX · On-site +1

$97K - $131K/yr

Senior Data Engineer Remote Work: INDIA Location: Hyderabad / Noida, INDIA *Only Consultants local ... Experience supporting machine learning workflows or analytical data science pipelines * Knowledge ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

Senior Software Engineer

Dallas, TX · 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 ...

Principal Software Engineer

Southlake, TX · On-site +1

$127K - $170K/yr

Design and build data engineering pipelines and Data Lake solutions using Databricks (Spark with Scala), Azure ADF, and Delta Lake for analytical and machine learning use cases. Architect and develop ...

Showing results 41-60

Remote Machine Learning Compiler Engineer information

See Denton, TX salary details

$70.3K

$157K

$192.2K

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

As of Aug 12, 2026, the average yearly pay for remote machine learning compiler engineer in Denton, TX is $156,991.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,100.00 and $192,200.00 per year, depending on experience, location, and employer.

How does a remote machine learning compiler engineer typically collaborate with cross-functional teams to optimize model deployment?

As a Remote Machine Learning Compiler Engineer, you will frequently collaborate with data scientists, hardware engineers, and software developers to ensure that machine learning models are efficiently compiled and deployed on target platforms. Communication often takes place through virtual meetings, code reviews, and shared documentation tools. You'll be responsible for translating research models into optimized code, troubleshooting performance bottlenecks, and integrating feedback from various stakeholders. Effective teamwork is crucial, as the success of deployments often depends on iterative feedback and close alignment with both the ML research and hardware teams.

What is a remote machine learning compiler engineer?

A Remote Machine Learning Compiler Engineer is a software engineer who specializes in developing and optimizing compilers specifically for machine learning workloads, while working from a remote location. Their primary responsibilities include designing and implementing compiler features that translate machine learning models into efficient code for various hardware platforms, such as CPUs, GPUs, or specialized accelerators. They collaborate closely with machine learning researchers, hardware engineers, and software developers to ensure high performance and compatibility. In addition to strong programming skills, they typically require expertise in compiler theory, machine learning frameworks, and hardware architectures. This role allows for flexible, location-independent work while contributing to cutting-edge AI technologies.

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

AspectRemote Machine Learning Compiler EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Software Engineering, or related fields; knowledge of compiler design and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming, statistics, and data analysis
Work EnvironmentPrimarily software development, compiler optimization, and ML model deploymentData analysis, model building, and interpretation of results
Industry UsageTech companies, AI startups, hardware firms focusing on ML hardware accelerationTech, finance, healthcare, and research organizations

While both roles involve working with machine learning, the Remote Machine Learning Compiler Engineer focuses on developing and optimizing compilers for ML models, whereas the Remote Data Scientist concentrates on analyzing data and building predictive models. The roles share some technical skills but differ in their core responsibilities and work environments.

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

To thrive as a Remote Machine Learning Compiler Engineer, you need a strong background in computer science, proficiency in programming languages like C++ and Python, and expertise in compiler theory and machine learning frameworks. Familiarity with ML compilers such as TVM or XLA, and experience using version control and CI/CD systems are commonly required, along with a relevant bachelor's or master's degree. Outstanding problem-solving, collaboration, and communication skills are essential for working effectively in distributed teams and across technical domains. These skills and qualities enable the development of efficient, scalable ML solutions that bridge software and hardware, ensuring high performance and innovation.
What are popular job titles related to Remote Machine Learning Compiler Engineer jobs in Denton, TX? For Remote Machine Learning Compiler Engineer jobs in Denton, TX, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Compiler Engineer jobs in Denton, TX look for? The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Denton, TX are:
What cities near Denton, TX are hiring for Remote Machine Learning Compiler Engineer jobs? Cities near Denton, TX with the most Remote Machine Learning Compiler Engineer job openings:

Sr/Staff Data Scientist (Remote - US)

BNSF Railway

TX • On-site, Remote

$165K - $300K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 5 days ago


BNSF Railway rating

7.1

Company rating: 7.1 out of 10

Based on 151 frontline employees who took The Breakroom Quiz

204th of 361 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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