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Remote Machine Learning Compiler Engineer Jobs in Saint Louis, MO

Hitachi

Senior Transformer Engineer

Earth City, MO · On-site +1

$99K - $136K/yr

Engineering & Science Job Schedule: Full time Remote: Yes Senior Transformer Engineer The ... Access to learning platforms and career development programs * Competitive health and retirement ...

Hitachi

High Voltage Test Engineer

Earth City, MO · Remote

$105K - $158K/yr

Engineering & Science Job Schedule: Full time Remote: Yes High Voltage Test Engineer The ... Employee Resource Groups (depending on location), tuition reimbursement program, on-demand learning ...

GRVTY

Imagery Scientist (EO)- Expert

Saint Louis, MO · On-site +1

$180K - $210K/yr

Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies ... Experience applying CV and machine learning (ML) techniques to EO imagery and data to address ...

Varsity Tutors

Statics and Dynamics Tutor

Saint Louis, MO · Remote

$18 - $40/hr

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Varsity Tutors

Statics Tutor

Saint Louis, MO · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Perficient

Data Architect - Azure and Big Data

Saint Louis, MO · On-site +1

$61.75 - $80.50/hr

Lead workshops with many teams to define data ingestion, validation, mining, engineering, modeling ... Machine Learning Studio, HDInsight, Polybase, Azure Data Lake Analytics, Azure Data Warehouse ...

Solid Rock Recruiting LLC

LITHC Tax

Saint Louis, MO · On-site +1

$80K - $150K/yr

Louis, Chicago, Nashville, Kansas City, or Denver Remote option available for CPAs A nationally ... This team works with a wide range of affordable housing developers, investment funds, and real ...

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All JobsMachine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer Jobs in Saint Louis, MO

Remote Machine Learning Compiler Engineer information

See Saint Louis, MO salary details

$72.9K

$162.8K

$199.3K

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

As of Aug 23, 2026, the average yearly pay for remote machine learning compiler engineer in Saint Louis, MO is $162,787.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,000.00 and $199,300.00 per year, depending on experience, location, and employer.

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.

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 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 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 popular job titles related to Remote Machine Learning Compiler Engineer jobs in Saint Louis, MO?

For Remote Machine Learning Compiler Engineer jobs in Saint Louis, MO, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Compiler Engineer jobs in Saint Louis, MO look for?

The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Saint Louis, MO are:

Remote Machine Learning Compiler Engineer jobs near you

Software Engineer II (Remote)

Missouri Employers Mutual

Saint Louis, MO • On-site, Remote

$76K - $114K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Are you a software engineer who enjoys building reliable applications, solving complex technical challenges, and collaborating with a team that values innovation and continuous improvement? MEM Insurance is seeking a Software Engineer II to join our Agile technology team.
In this role, you will contribute across the full software development lifecycle, from solution design and development through testing, deployment, and ongoing support. You will work closely with cross-functional team members to create high-quality software solutions that support our business and customers while helping shape development best practices and continuous improvement efforts.
This opportunity is ideal for a developing software professional who enjoys ownership, values collaboration, and wants to make a meaningful impact while continuing to grow their career. Consistent with candidate preferences highlighted in Gartner's guidance, this posting emphasizes career growth, collaboration, and the broader employee value proposition, not just job requirements.
Essential Duties and Responsibilities
Software Development & Delivery
  • Design, develop, test, deploy, and support software solutions throughout the full development lifecycle.
  • Develop high-quality, maintainable software that meets business requirements and user story acceptance criteria.
  • Contribute to solution design and technical discussions to support scalable and effective business solutions.
  • Refactor and enhance existing applications to improve quality, reliability, maintainability, and performance.
  • Execute manual and automated testing to ensure software quality and stability.
  • Deploy software enhancements and new functionality following established development and release processes.
  • Troubleshoot, diagnose, and resolve application issues while supporting production systems and customer needs.
  • Maintain clear and accurate technical documentation, including design documentation and knowledge resources.
  • Take ownership of assigned features and modules from concept through implementation and ongoing support.
  • Provide support for business-critical processes, including resolution of issues related to scheduled and nightly system operations.

Agile Collaboration
  • Actively participate in Agile ceremonies, sprint planning, backlog refinement, retrospectives, and team discussions.
  • Partner with Product Owners and stakeholders to clarify requirements and evaluate technical feasibility.
  • Estimate development efforts and provide realistic timelines for deliverables.
  • Collaborate with teammates to improve development practices, engineering standards, and team effectiveness.
  • Support DevOps, continuous integration, and continuous delivery practices that improve application quality and deployment efficiency.

Learning & Continuous Improvement
  • Build and maintain knowledge of business processes and system functionality within assigned areas.
  • Stay current with emerging technologies, development tools, and industry trends.
  • Expand technical knowledge across multiple systems and technologies to support team success and organizational goals.

Mentorship & Team Contribution
  • Participate in code reviews and promote adherence to coding standards and quality expectations.
  • Share knowledge with team members through collaboration, peer reviews, and mentoring opportunities.
  • Help support the development of junior engineers through guidance, feedback, and best-practice discussions.

Qualifications
Education
  • Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field preferred.

Licenses
  • Current and valid driver's license required.

Experience
  • Minimum of 3 years of hands-on software development experience.

Certifications
  • No certifications required.

Company Culture and Values
At MEM Insurance, we are committed to our vision, mission, and values. We foster a culture of collaboration, integrity, and innovation. Our team is passionate about delivering exceptional service to our customers while supporting each other's growth and success. We believe in accountability, continuous learning, and creating an environment where employees feel valued and empowered.
Diversity Statement
MEM Insurance is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We believe that varied perspectives drive innovation and strengthen our ability to serve our customers and communities.
Total Rewards Overview
  • Health Plans: Medical, Dental, and Vision
    Includes fertility benefits, fully paid preventative care, and adult orthodontia.
  • Annual Performance Based Bonus
  • Employer-Paid Life and Disability Benefits:
    Life Insurance (3x base salary), AD&D, Short and Long-term Disability.
  • Wellness and Recognition Program: Employer-paid incentives for employees and spouses.
  • Flexible Spending Account and Dependent Care options
  • Health Savings Account: Generous employer contribution.
  • Time Away from Work:
    Generous PTO, 11 Holidays + 4 Early Releases, 16 Hours Volunteer Time Off, 20 Days Paid Parental Leave, Marriage, Bereavement, and Jury Duty leave.
  • Employee Assistance Programs
  • 401k Retirement Plan: Employer match and profit sharing.
  • Adoption Assistance and Tuition Assistance

Notice Regarding Use of Artificial Intelligence
MEM may use artificial intelligence (AI) tools to more efficiently facilitate and assist in decisions involving recruitment, hiring, promotion, renewal of employment, selection for training or apprenticeship, discharge, discipline, tenure, or the terms, privileges, or conditions of employment. Any such use of AI tools will comply with all applicable laws.

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