Machine Learning Engineer Visa Sponsorship Jobs in Illinois
Illinois is a strong market for machine learning engineer visa sponsorship, anchored by Chicago's dense tech sector and major employers like Motorola Solutions, Allstate, and trading firms such as Citadel and Jump Trading. The University of Illinois at Urbana-Champaign also feeds a significant pipeline of international ML talent into the state's hiring ecosystem.
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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.
ROLE AND RESPONSIBILITIES:
- 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
BASIC 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
COMPENSATION
- 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.
About us
Tempus was founded in August of 2015 by Eric Lefkofsky, after his wife was diagnosed with Breast Cancer. Shortly after he founded the company in an effort to bring the power of technology and artificial intelligence to cancer care, he convinced Ryan Fukushima to join as the company’s first employee. Ryan and Eric began assembling a world-class team, focused on building the first version of a platform capable of ingesting real-time healthcare data in an effort to personalize diagnostics.
We built the platform for oncology and have expanded it to neuropsychiatry, cardiology, infectious disease (through COVID), and radiology. Despite our rapid growth, our mission remains the same—to help make sure patients are on the right drug at the right time, so they can live longer and healthier lives.
WHY WORK HERE?
We’re looking for people who can change the world.
Who question the status quo and don’t shy away from tough problems. For the builders who are never done building and the learners who are never done learning. We’re looking for passionate people with undying curiosity. Those who want to attack one of the most challenging problems mankind has ever faced. Head on.
INTRODUCTION
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.
ROLE AND RESPONSIBILITIES:
- 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
BASIC 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
COMPENSATION
- 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.
About us
Tempus was founded in August of 2015 by Eric Lefkofsky, after his wife was diagnosed with Breast Cancer. Shortly after he founded the company in an effort to bring the power of technology and artificial intelligence to cancer care, he convinced Ryan Fukushima to join as the company’s first employee. Ryan and Eric began assembling a world-class team, focused on building the first version of a platform capable of ingesting real-time healthcare data in an effort to personalize diagnostics.
We built the platform for oncology and have expanded it to neuropsychiatry, cardiology, infectious disease (through COVID), and radiology. Despite our rapid growth, our mission remains the same—to help make sure patients are on the right drug at the right time, so they can live longer and healthier lives.
WHY WORK HERE?
We’re looking for people who can change the world.
Who question the status quo and don’t shy away from tough problems. For the builders who are never done building and the learners who are never done learning. We’re looking for passionate people with undying curiosity. Those who want to attack one of the most challenging problems mankind has ever faced. Head on.
Machine Learning Engineer Job Roles in Illinois
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Search Machine Learning Engineer Jobs in IllinoisMachine Learning Engineer Jobs in Illinois: Frequently Asked Questions
Which companies sponsor visas for machine learning engineers in Illinois?
Several Illinois-based employers have established sponsorship track records for machine learning engineers. These include Motorola Solutions, Allstate, and Discover Financial in the corporate tech space, alongside high-frequency trading firms like Citadel, Jump Trading, and DRW that actively recruit ML talent. Large consulting and enterprise firms such as Accenture and Deloitte also sponsor machine learning roles from their Chicago offices.
Which visa types are most common for machine learning engineer roles in Illinois?
The H-1B visa is the most common visa category for machine learning engineers in Illinois, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with extraordinary ability or achievement may also pursue the O-1A. Those transferring within a multinational company may qualify for the L-1B for specialized knowledge workers.
Which cities in Illinois have the most machine learning engineer sponsorship jobs?
Chicago accounts for the large majority of machine learning engineer sponsorship jobs in Illinois, driven by its financial technology, insurance, and enterprise software sectors. Nearby suburbs like Schaumburg (home to Motorola Solutions) and Deerfield contribute additional opportunities in hardware and healthcare tech. Champaign-Urbana sees some hiring activity tied to the University of Illinois research ecosystem and affiliated startups.
How to find machine learning engineer visa sponsorship jobs in Illinois?
Migrate Mate is built specifically for international job seekers and filters machine learning engineer roles in Illinois by employers with active visa sponsorship history. Rather than sorting through general job listings where sponsorship status is unclear, Migrate Mate surfaces positions from companies that have filed H-1B petitions for ML roles, saving significant time during a job search where immigration timelines matter.
Are there state-specific considerations for machine learning engineers seeking sponsorship in Illinois?
Illinois does not have state-level visa programs, so sponsorship follows standard federal H-1B rules. One notable factor is the concentration of financial and trading firms in Chicago, which tend to have legal infrastructure already in place for sponsorship but may have stricter background and credential requirements. The University of Illinois pipeline also means Illinois employers are accustomed to hiring international candidates, particularly those on OPT or STEM OPT extensions.
What is the prevailing wage for sponsored machine learning engineer jobs in Illinois?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.