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Remote Machine Learning Compiler Engineer Jobs in Missouri

micro1 AI

Engineering AI Evaluator (PhD)

Kansas City, MO · Remote

$80 - $90/hr

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Jobgether

... machine learning across an entire organization. You will work at the intersection of platform ... Flexible working arrangements with a remote-first or hybrid-friendly culture * Unlimited paid time ...

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 ...

Bayer

Senior Software Engineer

Creve Coeur, MO · On-site +1

$104K - $156K/yr

... AI and machine learning at a global level. You will build and deliver critical platform ... remote sensed satellite imagery Implement efficient algorithms and services for diverse and ...

MasterCard

Senior Data Engineer

O Fallon, MO · Remote

$99K - $134K/yr

... 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 ...

SS&C

Data Platform Software Engineer

Kansas City, MO · On-site +1

$111K - $134K/yr

Kansas City, MO (Remote Eligible) Company Overview : SS&C is a global leader in investment and ... and machine learning, while providing out-of-the-box deep insights. This role blends data ...

Kohl's

Experience with an object-oriented programming language (R, Python etc.) * Ability to write functions and end-to-end programs * Experience with Data Mining and Machine Learning methodologies

The Timberline Group

Data Analytics Engineer

Saint Louis, MO · On-site +1

$111K - $133K/yr

The Data Analytics Engineer will be a part of the Data Engineering team whose primary mission is to ... The data in the Warehouse will serve as a foundation for Reporting, Machine Learning Analysis and ...

Jobgether

$50.25 - $63.75/hr

AWS certifications (Solutions Architect Professional or Machine Learning Specialty), experience ... Fully remote-friendly role with flexibility to work from Romania or within supported regions.

Yuno

Remote, Europe Full Time Experienced Engineering Manager +6 Years of Experience Who We Are At Yuno ... Collaborate closely with Product, Analytics, Machine Learning, Finance, and Compliance teams in an ...

Varsity Tutors

Data Science Tutor

Kansas City, MO · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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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
Technical Content Expert - Advanced Engineering

Technical Content Expert - Advanced Engineering

micro1 AI

Kansas City, MO • Remote

$80 - $90/hr

Part-time

Posted 16 days ago

Job description

Role Title: PhD Engineer (Electrical, Mechanical, Chemical)


Role Type: Contractor


Location: Remote


micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Deliver authoritative written responses to complex engineering prompts in your area of expertise
  2. Review and interpret scientific literature to provide contextually accurate and current insights
  3. Design and document realistic experimental scenarios based on advanced engineering principles
  4. Analyze data and interpret results to inform AI training datasets with precision
  5. Apply sophisticated calculus and quantitative methodologies to problem-solving tasks
  6. Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines
  7. Collaborate with project coordinators to refine prompt response quality as needed


Preferred Qualifications

  1. PhD in Electrical, Mechanical, or Chemical Engineering
  2. Demonstrated expertise in calculus, data analysis, research methodology, and experimental design
  3. Exceptional written and verbal communication skills with the ability to convey complex concepts clearly
  4. Strong literature review capabilities and familiarity with synthesizing scientific knowledge
  5. Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)
  6. Proven ability to produce "golden response" level deliverables with accuracy and completeness
  7. Detail-oriented mindset and commitment to high-quality, impactful contributions

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