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Remote Machine Learning Compiler Engineer Jobs in Missouri

Jobgether

$80K - $110K/yr

Collaborate with machine learning teams to integrate advanced computer vision capabilities into ... Fully remote full-time position with flexibility to work from your preferred location.

New

Jobgether

$81K - $111K/yr

This role sits at the intersection of advanced data engineering and applied machine learning ... Fully remote work opportunity * Exposure to cutting-edge AWS data and AI/ML technologies

General Motors

Senior AI/ML Engineer

Jefferson City, MO · On-site +1

$99K - $136K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... Experience with computer vision , machine learning , or data-centric AI projects - especially where ...

Stellar IT Solutions

Data Scientist

Saint Louis, MO · Remote

Data Scientist Remote 12 Month Contract to hire Data Scientist - Profile Overview This is a data ... Solid traditional Machine Learning: Feature engineering, model training, evaluation * Not a model ...

New

Stellar IT Solutions LLC

Data Scientist

Saint Louis, MO · Remote

$55 - $60/hr

Data Scientist Remote 12 Month Contract to hire Data Scientist - Profile Overview This is a data ... Solid traditional Machine Learning: Feature engineering, model training, evaluation * Not a model ...

New

Sedgwick

Data Engineer AI

Kansas City, MO · On-site +1

$111K - $134K/yr

Build and maintain Feature Stores and specialized datasets optimized for machine learning, ensuring ... LI-TS1 #remote Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

Sedgwick

Data Engineer AI

Saint Louis, MO · On-site +1

$111K - $133K/yr

Build and maintain Feature Stores and specialized datasets optimized for machine learning, ensuring ... LI-TS1 #remote Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

Jobgether

$240K - $290K/yr

You will work at the intersection of machine learning, platform infrastructure, and policy ... Remote-first flexibility across Europe and the US, with optional access to major tech hubs. * High ...

Dynamic Yield

Senior Data Engineer

O Fallon, MO · Remote

$115K - $184K/yr

Senior Data Engineer About the Role As a Senior Data Engineer, you'll take ownership of building and optimizing data platforms, pipelines, and systems that enable advanced analytics, machine learning ...

Relativity

Principal Applied Scientist

California, MO · On-site +1

Remote/Hybrid Job Overview Relativity is a leading legal data intelligence company building ... Algorithms, Data Analysis, Machine Learning (ML), Natural Language, Python (Programming Language ...

micro1 AI

Attorney - Remote

Columbia, MO · Remote

$100 - $150/hr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

micro1 AI

Attorney - Remote

Independence, MO · Remote

$100 - $150/hr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

micro1 AI

Lawyer - Remote

Springfield, MO · Remote

$100 - $150/hr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

micro1 AI

Lawyer - Remote

Saint Louis, MO · Remote

$100 - $150/hr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

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All JobsMachine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer Jobs in Missouri

Remote Machine Learning Compiler Engineer information

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 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 CV Engineer

Jobgether

On-site, Remote

$80K - $110K/yr

Full-time

PTO

Posted 2 days ago

Job description

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

This is an exciting opportunity for an experienced Computer Vision professional to help shape the next generation of AI-powered visual technologies. In this role, you will work on advanced generative models, developing systems capable of producing high-quality photorealistic and stylized visual content. You will contribute to cutting-edge research initiatives while transforming innovative ideas into scalable production solutions. The position combines deep technical expertise with strategic ownership, allowing you to influence model architecture, optimization, and long-term roadmap decisions. Working within a globally distributed and highly collaborative environment, you will have the opportunity to drive meaningful innovation at the intersection of computer vision, multimodal AI, and machine learning. This role is ideal for individuals passionate about pushing the boundaries of generative AI and visual understanding systems.

Accountabilities:
  • Train, fine-tune, and enhance generative computer vision models, including text-to-image, image-to-image, video-to-image, and adapter-based architectures.
  • Develop and improve image classification, ranking, and captioning systems capable of understanding complex visual contexts.
  • Monitor emerging research trends and open-source advancements in computer vision, translating findings into actionable development roadmaps.
  • Design, implement, and own model evaluation frameworks and quality validation processes to ensure continuous performance improvement.
  • Optimize model inference through techniques such as diffusion acceleration, quantization, and framework-level performance enhancements.
  • Collaborate with machine learning teams to integrate advanced computer vision capabilities into broader AI systems.
  • Contribute to multimodal AI initiatives that combine visual and language understanding for richer user experiences.
Requirements
  • 5+ years of experience working with diffusion models, including training, fine-tuning, and architectural customization.
  • Strong expertise with modern machine learning frameworks and libraries, particularly Diffusers and Transformers.
  • Hands-on experience implementing and optimizing IP-Adapters or similar conditioning techniques.
  • Solid programming skills and practical backend engineering experience, ideally with Python and exposure to scalable deployment environments.
  • Strong understanding of deep learning, generative AI, and computer vision best practices.
  • Ability to independently drive research initiatives and translate experimental results into production-ready solutions.
  • Excellent problem-solving, analytical thinking, and collaboration skills.

Nice to have:

  • Experience with flow matching techniques and diffusion model distillation.
  • Knowledge of DPO and other advanced text-to-image fine-tuning methodologies.
  • Experience with text-to-video generation and CLIP fine-tuning.
  • Familiarity with multimodal large language models.
  • Background in NLP, LLM training, or conversational AI development.
Benefits
  • Fully remote full-time position with flexibility to work from your preferred location.
  • Competitive compensation package, with salary details shared during the recruitment process.
  • 28 calendar days of annual vacation.
  • 7 wellness days per year for personal recovery and wellbeing.
  • Referral bonus program with rewards of up to $5,000 for successful candidate recommendations.
  • 50% reimbursement for professional development, training programs, conferences, and industry events.
  • Corporate discounts for English language learning programs.
  • Annual health allowance of up to $1,000 gross for health insurance, medical expenses, or healthcare support for eligible family members.
  • Workplace support, including fully equipped office or coworking options, or reimbursement of up to $1,000 gross every three years for home office and workspace expenses.
  • Internal recognition and rewards program that allows employees to earn bonuses and redeem them for merchandise, experiences, wellness services, and team activities.
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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