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Remote Machine Learning Compiler Engineer Jobs in Missouri

Jobgether

$94K - $124K/yr

We are seeking a Senior Geospatial Machine Learning Engineer to develop advanced AI solutions that ... Fully remote work environment with flexibility across eligible locations. * Opportunity to work on ...

Quora

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning ... LI-SS2 LI-REMOTE

Quora

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning ... LI-SS2 LI-REMOTE

Quora

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning ... LI-SS2 LI-REMOTE

Quora

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning ... LI-SS2 LI-REMOTE

Quora

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning ... LI-SS2 LI-REMOTE

Jobgether

This is a remote opportunity for an experienced Machine Learning Specialist to design and deliver ... The role combines hands-on technical delivery with collaboration across data, engineering ...

Jobgether

$80K - $110K/yr

... Engineer based in Netherlands ... Join a fully remote, mission-driven climate technology environment where machine learning and ...

Varsity Tutors

Machine Learning Tutor

Kansas City, MO · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Columbia, MO · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Saint Louis, MO · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Jobgether

$11.50 - $15.50/hr

This is a part-time contract position with a remote setup and scheduled sessions aligned with the ... Hands-on experience with prompt engineering , including zero-shot, one-shot, and few-shot prompting ...

Catawiki

Working with cross-disciplinary teams involving product owners, developers, UX designers, and ... Where you'll be This role is based in Amsterdam but we can offer remote work from the following ...

Kohl's

$95K - $131K/yr

Contribute to the roadmap for Machine Learning Engineering and Data Science tools, including ... developing reusable frameworks and standardized solutions to streamline model implementation

Third-Party Job Posts

Location - Remote (Europe) How You'll Make an Impact: As a Staff Machine Learning Engineer , you will play a key role in building and implementing features that empower lodging customers to make data ...

Koantek

Senior AI Engineer

Chesterfield, MO · Remote

$54.75 - $70.50/hr

Sr AI Engineer / Data Scientist / MLOps Consultant Location: United States - Remote Employment Type ... This remote role requires a blend of advanced Machine Learning (ML) expertise, deep knowledge of ...

Jobgether

This role focuses on building the data and machine learning foundations that power personalized ... Benefits * 100% remote work with flexible working hours and designated core collaboration hours.

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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

Senior Geospatial Machine Learning Engineer

Jobgether

On-site, Remote

$94K - $124K/yr

Full-time

Posted 12 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Geospatial Machine Learning Engineer based in Netherlands.

We are seeking a Senior Geospatial Machine Learning Engineer to develop advanced AI solutions that transform satellite and environmental data into actionable insights.
This role sits at the intersection of machine learning, geospatial technology, and climate innovation, helping solve complex challenges impacting critical infrastructure.
You will work on building and improving algorithms that analyze vegetation, assess risks, and support smarter decision-making for energy systems.
The position offers the opportunity to own impactful projects from experimentation through production while collaborating with multidisciplinary engineering and scientific teams.
You will contribute to the evolution of data-driven products using cutting-edge ML techniques, remote sensing data, and geospatial technologies.
This is an ideal opportunity for an experienced engineer passionate about applying AI to create meaningful environmental impact.

Accountabilities:

The Senior Geospatial Machine Learning Engineer will design, develop, and improve machine learning solutions that leverage geospatial data to deliver innovative environmental intelligence products. This role requires strong technical ownership, collaboration, and the ability to translate complex data challenges into practical solutions.

  • Develop new geospatial intelligence products using Python-based geospatial libraries, machine learning, and deep learning techniques.
  • Improve existing solutions through data exploration, model optimization, debugging, and performance enhancements.
  • Work with satellite and aerial imagery, raster and vector datasets, and geospatial workflows to solve real-world challenges.
  • Lead technical projects from planning and experimentation through implementation, delivery, and stakeholder communication.
  • Build tools and processes to evaluate model performance, product impact, and data-driven prioritization.
  • Collaborate with data engineering, product, platform, and delivery teams throughout the full machine learning product lifecycle.
  • Contribute to technical direction, engineering practices, and team culture within a fast-growing environment.
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
Requirements:

The ideal candidate is an experienced machine learning or geospatial engineer with strong expertise in Python, scientific computing, and applied AI. They should be comfortable working independently, leading projects, and applying advanced technology to environmental and infrastructure challenges.

  • 8-10+ years of experience in machine learning engineering, geospatial engineering, remote sensing, or a closely related technical field.
  • Strong Python programming skills with hands-on experience using geospatial libraries such as GDAL, Rasterio, Shapely, Fiona, and GeoPandas.
  • Experience with scientific Python tools including NumPy, SciPy, scikit-learn, and Pandas.
  • Practical experience developing deep learning solutions using frameworks such as PyTorch and/or TensorFlow.
  • Strong understanding of satellite imagery, aerial imagery, and geospatial raster/vector data processing.
  • Experience with workflow orchestration tools such as Dagster or similar platforms.
  • Ability to independently lead initiatives, manage technical projects, and communicate results effectively.
  • Passion for climate technology and using machine learning to address complex environmental problems.

Nice-to-have qualifications:

  • Experience with vegetation science, forestry, energy infrastructure, or utility-related technologies.
  • Familiarity with observability tools such as Sentry and Grafana.
  • Previous experience in climate tech, geospatial AI, remote sensing, or environmental data companies.
Benefits:
  • Fully remote work environment with flexibility across eligible locations.
  • Opportunity to work on impactful climate technology projects using AI and satellite data.
  • Ability to influence technical direction, processes, and product development within a growing organization.
  • Collaboration with a diverse international team across engineering, product, design, and platform functions.
  • Exposure to cutting-edge machine learning, geospatial technologies, and real-world applications.
  • Inclusive culture focused on solving meaningful problems through technology.
  • Opportunity for professional growth in a mission-driven environment.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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