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Machine Learning Engineer From Home Jobs in Naperville, IL

Albi

Senior Machine Learning Engineer (LLMs)

Chicago, IL · On-site

$126K - $166K/yr

This is not a "prompt engineer" role. You'll design, train, and ship domain-specific language ... Build and maintain data pipelines from product databases, documents, APIs, and logs * Ship reliable ...

Albi

Senior Machine Learning Engineer (LLMs)

Chicago, IL · On-site

$126K - $166K/yr

This is not a "prompt engineer" role. You'll design, train, and ship domain-specific language ... Build and maintain data pipelines from product databases, documents, APIs, and logs * Ship reliable ...

Albi

Senior Machine Learning Engineer (LLMs)

Chicago, IL

$126K - $166K/yr

This is not a "prompt engineer" role. You'll design, train, and ship domain-specific language ... Build and maintain data pipelines from product databases, documents, APIs, and logs * Ship reliable ...

Varsity Tutors

Machine Learning Tutor

Chicago, IL · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

Varsity Tutors

Machine Learning Tutor

Oak Lawn, IL · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

Varsity Tutors

Machine Learning Tutor

Des Plaines, IL · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

Varsity Tutors

Machine Learning Tutor

Schaumburg, IL · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

Varsity Tutors

Machine Learning Tutor

Wheaton, IL · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

Varsity Tutors

Machine Learning Tutor

Buffalo Grove, IL · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

Varsity Tutors

Machine Learning Tutor

Naperville, IL · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer From Home JobsMachine Learning Engineer From Home Jobs in Naperville, IL

Machine Learning Engineer From Home information

See Naperville, IL salary details

$31.5K

$128.6K

$193.2K

How much do machine learning engineer from home jobs pay per year?

As of Jul 18, 2026, the average yearly pay for machine learning engineer from home in Naperville, IL is $128,577.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,300.00 and $154,800.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Engineer From Home vs Data Scientist?

AspectMachine Learning Engineer From HomeData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, flexible hours, often project-basedRemote or on-site, collaborative teams, research-focused
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, research institutions
Common Search & ComparisonOften compared for technical skills and remote work optionsCompared for data analysis and modeling expertise

While both roles require strong technical credentials and often involve remote work, Machine Learning Engineers From Home focus on developing and deploying ML models, whereas Data Scientists analyze data to generate insights. The choice depends on whether you prefer building algorithms or interpreting data trends.

What are the most commonly searched types of Machine Learning Engineer jobs in Naperville, IL? The most popular types of Machine Learning Engineer jobs in Naperville, IL are:
What are popular job titles related to Machine Learning Engineer From Home jobs in Naperville, IL? For Machine Learning Engineer From Home jobs in Naperville, IL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer From Home jobs in Naperville, IL look for? The top searched job categories for Machine Learning Engineer From Home jobs in Naperville, IL are:
What cities near Naperville, IL are hiring for Machine Learning Engineer From Home jobs? Cities near Naperville, IL with the most Machine Learning Engineer From Home job openings:
Machine Learning Engineer From Home jobs near you
Infographic showing various Machine Learning Engineer From Home job openings in Naperville, IL as of July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $128,577 per year, or $61.8 per hour.
Staff/Senior Machine Learning Engineer, Clinical AI

Staff/Senior Machine Learning Engineer, Clinical AI

Tempus

Chicago, IL • On-site

$170K - $230K/yr

Full-time

Re-posted 4 days ago

Job description

Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
We're seeking a highly skilled and innovative Staff/Senior Machine Learning Engineer to join our Clinical AI Team. As a Staff/Senior Machine Learning Engineer, you'll play a crucial role in leveraging and deploying cutting-edge natural language processing models and LLMs specifically tailored for healthcare applications at scale. Your work will contribute to optimizing clinical workflows, improving clinical trial matching, and advancing medical research. This position offers an exciting opportunity to leverage the power of natural language processing and LLMs to revolutionize healthcare and make a significant impact on people's lives.
What You Will Do:
  • Build and operate production AI pipelines: LLM-powered extraction, batch orchestration, and inference, with a focus on reliability, cost, and latency
  • Design and maintain Airflow-based orchestration for batch clinical workflows
  • Build the observability (metrics, logging, alerting) that catches regressions before they reach downstream consumers
  • Build and maintain eval infrastructure that measures clinical model output quality continuously: regression detection, drift, gold-set management, dashboards
  • Ship platform tooling and SDKs that accelerate Machine Learning Scientists and downstream consumers
  • Partner with Machine Learning Scientists to debug bad model outputs to root cause (data, prompt, or pipeline)
  • Participate in the pod's on-call rotation
  • Collaborate with platform / infrastructure teams to leverage GCP services for performance, security, and cost-efficiency
  • Author and review design docs for cross-pod work
  • Raise the engineering bar through code review and design review

Required Qualifications:
  • Strong command of Python in production environments
  • Experience designing, building, and integrating with microservices in production
  • Deployed data orchestration workflows in production (Airflow or equivalent)
  • Worked on cloud-native services (GCP preferred but not required)
  • Built monitoring, observability, and alerting for production systems
  • Hands-on experience with at least one major ML framework - we primarily use LangGraph; PyTorch, spaCy, or equivalents are equally welcome
  • Strong written and verbal communication, including experience authoring and reviewing design docs (RFCs, PRDs, or equivalent); partners well with research scientists, PMs, and clinicians

Preferred Qualifications:
  • Operated production systems hands-on - on-call rotations, incident response, postmortems
  • Experience building eval / quality measurement systems for ML or LLM outputs
  • Hands-on production LLM application experience (prompts, agents, RAG, LLM evals, extraction pipelines)
  • Built internal platforms or SDKs that other engineers / scientists depended on
  • Experience working with clinical or biomedical data (EHR, genomics, pathology, clinical notes)
  • Contributions to relevant open-source projects

#LI-BL1
New York Pay Range - $170,000 - $230,000 USD
California Pay Range - $170,000 - $230,000 USD
Illinois Pay Range - $150,000 - $210,000 USD
Remote - USA Range - $150,000 - $210,000 USD
The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.
Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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