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Remote Machine Learning Compiler Engineer Jobs in Missouri

Third-Party Job Posts

Remote (Europe) How You'll Make an Impact: As a Staff Software Engineer in Revenue Intelligence ... processing, machine-learning workflows, and production infrastructure. We value pragmatic ...

Jobgether

$5.0K - $6.5K/mo

This fully remote opportunity is designed for an experienced Python engineer passionate about ... Experience with data products, Big Data environments, BI, analytics, or machine learning teams is ...

MasterCard

Senior AI Engineer

O Fallon, MO

$97K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Role As a Senior AI Engineer, you will: -Support machine learning models that help detect cyber-attacks, fraud and improve decision intelligence. -Create data pipelines and feature engineering ...

Jobgether

$44 - $58.50/hr

This is a fully remote opportunity for a highly experienced SRE leader to shape reliability across ... Experience supporting production data platforms and machine learning systems. * Practical MLOps ...

New

Jobgether

  • Medical

Strong Python programming skills and familiarity with modern machine learning and AI frameworks ... Fully remote working model. * Opportunity to work with modern LLM, RAG, machine learning, and AI ...

New

Bunge North America

Data Scientist

Chesterfield, MO · On-site +1

  • Medical

  • Retirement

  • PTO

... engineers, and business leaders, to translate complex business challenges into solvable data ... Translate complex business problems into data-driven analytics and machine learning tasks, then ...

Bunge

Data Scientist

Chesterfield, MO · On-site +1

  • Medical

  • Retirement

  • PTO

... engineers, and business leaders, to translate complex business challenges into solvable data ... Translate complex business problems into data-driven analytics and machine learning tasks, then ...

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Proficient in using advanced analytics and machine learning frameworks, including Apache Spark ...

MasterCard

Senior Data Engineer

O Fallon, MO

$99K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine learning, and business insights. You'll collaborate closely with engineering, product, and analytics teams to deliver reliable, production-ready data solutions. Role Design, build, and ...

Jobgether

Interest in artificial intelligence, machine learning, or computer vision and their applications to visual and creative fields is highly valued. * Previous remote work experience and the ability to ...

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Remote Machine Learning Compiler Engineer information

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 the most commonly searched types of Machine Learning Compiler Engineer jobs in Missouri?

The most popular types of Machine Learning Compiler Engineer jobs in Missouri are:

What are popular job titles related to Remote Machine Learning Compiler Engineer jobs in Missouri?

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

What job categories do people searching Remote Machine Learning Compiler Engineer jobs in Missouri look for?

The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Missouri are:

What cities in Missouri are hiring for Remote Machine Learning Compiler Engineer jobs?

Cities in Missouri with the most Remote Machine Learning Compiler Engineer job openings:

Remote Machine Learning Compiler Engineer jobs near you

Staff Software Engineer

Third-Party Job Posts

Remote

Full-time

Posted 12 days ago

Job description

Location: Remote (Europe)

How You'll Make an Impact:

As a Staff Software Engineer in Revenue Intelligence, you will shape the technical direction of systems that help hospitality businesses understand demand, identify revenue opportunities, and make better pricing and commercial decisions. You will work across customer-facing applications, backend services, data pipelines, analytical stores, recommendation workflows, and cloud infrastructure. This is a hands-on leadership role: you will solve complex engineering problems directly while establishing architecture, improving reliability and security, reducing systemic technical debt, and aligning multiple teams around durable technical decisions. Your impact will extend beyond individual features to the quality, scalability, operability, and long-term evolution of the Revenue Intelligence platform.

Our Revenue Intelligence Team:

The Revenue Intelligence team builds products and platforms that turn hospitality data into practical decisions for hoteliers, including pricing recommendations, demand insights, reporting, automation, and commercial opportunities. Our systems span frontend experiences, APIs, distributed services, data processing, machine-learning workflows, and production infrastructure. We value pragmatic engineering, strong ownership, evidence-based decisions, and technical leaders who raise the effectiveness of the people and systems around them.

What You Bring to the Team:

  • Set and evolve the technical strategy for Revenue Intelligence, translating product and business goals into coherent architecture and executable engineering plans
  • Lead the design and delivery of complex capabilities across customer-facing web applications, backend APIs, event-driven services, data pipelines, analytical storage, and recommendation workflows
  • Identify and resolve systemic risks in scalability, reliability, security, data quality, observability, and operability before they become recurring customer or engineering problems
  • Drive modernization of legacy systems and infrastructure through incremental, well-reasoned migrations that preserve delivery momentum and production stability
  • Partner with Product, Data Science, Infrastructure, Security, and engineering leaders to define boundaries, contracts, ownership, and long-term platform direction
  • Remain hands-on in the codebase through implementation, technical spikes, design reviews, debugging, incident response, and the most consequential or ambiguous engineering work
  • Raise the technical effectiveness of the wider organization through mentoring, architecture guidance, engineering standards, documentation, and constructive challenge

What Sets You Up for Success:

  • 10+ years of software engineering experience, including significant technical leadership across complex production systems
  • Deep hands-on expertise in Python, with the ability to work effectively across both ecosystems and guide engineering decisions beyond a single language
  • Strong architecture and distributed-systems fundamentals, including API design, event-driven workflows, consistency, failure handling, scalability, and service boundaries
  • Experience with data-intensive systems such as PostgreSQL, Redshift or similar analytical platforms, batch and streaming pipelines, and large-scale data processing
  • Experience designing or operating recommendation systems, machine-learning platforms, pricing systems, experimentation workflows, or other decision-support products
  • Strong cloud and platform engineering experience across AWS, containers, Kubernetes, Terraform, Helm, Argo CD, CI/CD, observability, and secure production operations
  • A demonstrated ability to lead through influence, create alignment across teams, communicate complex tradeoffs clearly, and drive decisions from ambiguity to execution
  • A strong record of improving engineering quality through testing strategy, operational readiness, incident learning, security, documentation, and sustainable technical standards
  • Product judgment and customer empathy, with the ability to connect technical investments to measurable outcomes for hoteliers and the business
  • Business-level English fluency and experience collaborating effectively in a remote, globally distributed organization

Bonus Skills to Stand Out:

  • Deep hands-on expertise in .NET/C#

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