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Remote Machine Learning Compiler Engineer Jobs in Morton Grove, IL

Humana

Lead AI Factory Engineer

Chicago, IL · On-site +1

$105K - $139K/yr

Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch * Experience ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Humana

Lead AI Factory Engineer

Chicago, IL · On-site +1

$105K - $139K/yr

Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch * Experience ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Humana

Lead AI Factory Engineer

Chicago, IL · On-site +1

$105K - $139K/yr

Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch * Experience ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Adidev Technologies Inc

AI/ML

Chicago, IL · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Adidev Technologies

AI/ML

Des Plaines, IL · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Support, even from afar, with our remote assistance. * Regular salary reviews? You betcha! Ready to ...

Motorola

Senior DevOps Engineer (US REMOTE)

Chicago, IL · Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Motorola

Senior DevOps Engineer (US REMOTE)

Schaumburg, IL · Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

AbbVie

Engineer, Technology II

North Chicago, IL · On-site +1

Utilize AI tools, machine learning techniques, and modern software engineering methodologies to improve development efficiency, solution quality, and business value delivery. * Collaborate with ...

AbbVie

Engineer, Technology II

North Chicago, IL · On-site +1

Utilize AI tools, machine learning techniques, and modern software engineering methodologies to improve development efficiency, solution quality, and business value delivery. * Collaborate with ...

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All JobsMachine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer Jobs in Morton Grove, IL

Remote Machine Learning Compiler Engineer information

See Morton Grove, IL salary details

$74.6K

$166.6K

$203.9K

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

As of Aug 19, 2026, the average yearly pay for remote machine learning compiler engineer in Morton Grove, IL is $166,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,300.00 and $203,900.00 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 job categories do people searching Remote Machine Learning Compiler Engineer jobs in Morton Grove, IL look for?

The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Morton Grove, IL are:

What cities near Morton Grove, IL are hiring for Remote Machine Learning Compiler Engineer jobs?

Cities near Morton Grove, IL with the most Remote Machine Learning Compiler Engineer job openings:

Remote Machine Learning Compiler Engineer jobs near you
Infographic showing various Remote Machine Learning Compiler Engineer job openings in Morton Grove, IL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $166,575 per year, or $80.1 per hour.

AI Engineer Lead - Remote / Telecommute

CYNET SYSTEMS

Chicago, IL • Remote

$115 - $120/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 21 days ago

Job description

Job Overview:
Pay Range: $115.00hr - $120.00hr
Requirement/Must Have:
  • 8+ years of software/AI/ML engineering experience, with 2+ years in a technical lead role.
  • Proven experience designing and deploying AI/ML and Generative AI solutions in production, ideally including orchestration frameworks and agentic architectures (e.g., LangChain, LangGraph, Semantic Kernel, AutoGen, or similar).
  • Strong hands-on experience with the Azure ecosystem (e.g., Azure OpenAI, Azure ML, Azure Functions, AKS, Azure Data services).
  • Experience with Snowflake, including Semantic Views and Cortex Analyst (or comparable text-to-SQL / semantic layer technologies).
  • Solid foundation in machine learning concepts, MLOps/LLMOps practices, and model lifecycle management, including integrating deployed ML models into orchestrated AI workflows.
  • Experience building RAG / document intelligence pipelines over unstructured content (e.g., playbooks, guidelines, knowledge bases).
  • Strong programming skills in Python; experience building APIs and microservices.
  • Experience working cross-functionally with data science, platform, and business teams in a large enterprise environment.
  • Experience implementing guardrails for AI systems (e.g., output validation, grounding, content filtering, and hallucination mitigation) to govern responses and protect user trust.
  • Strong verbal and written communication skills and the ability to operate with autonomy and ownership.
Responsibilities:
  • Lead the design, development, and deployment of the AI orchestration layer for Brand Growth Systems, enabling automated and intelligent insight generation.
  • Build the orchestration layer across three core capability sources: Snowflake Semantic Views, deployed ML models, and unstructured documents.
  • Partner with Business teams, the Gen AI COE, Data Science, ML, and Snowflake Platform teams to translate business needs into robust, scalable AI engineering solutions.
  • Architect and implement agentic AI workflows advancing capabilities from proactive insights toward agentic and ultimately autonomous systems.
  • Integrate LLM-based components, ML models, and data pipelines into cohesive, production-ready services on Azure.
  • Establish engineering best practices for AI solution development, including evaluation, monitoring, observability, security, guardrails, and responsible AI standards.
  • Implement guardrails around AI-generated responses including grounding, output validation, and content safety controls to govern response quality and protect user trust.
  • Provide senior-level technical guidance and mentorship to engineers and cross-functional partners.
  • Drive rapid prototyping and iteration while maintaining a clear path to production and enterprise-grade quality.
  • Communicate architecture decisions, trade-offs, and progress clearly to both technical and business stakeholders.
  •  
  • Nice to Have:
  • Experience with RAG pipelines, vector databases, and prompt/agent evaluation frameworks.
  • Familiarity with CPG, retail, or consumer insights/brand analytics domains.
  • Experience establishing responsible AI, governance, and security practices for enterprise AI systems.
  • Background in scaling AI capabilities within a Center of Excellence or platform team model.
  • Experience working with globally matrixed teams.
Skills:
  • AI Engineering.
  • Machine Learning.
  • Generative AI.
  • Azure OpenAI.
  • Azure ML.
  • Azure Functions.
  • AKS.
  • Snowflake.
  • Cortex Analyst.
  • Python.
  • LangChain.
  • LangGraph.
  • Semantic Kernel.
  • AutoGen.
  • MLOps.
  • LLMOps.
  • RAG.
  • APIs.
  • Microservices.
 

Benefits
 
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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