Machine Learning Researcher Visa Sponsorship Jobs in Illinois
Machine learning researcher visa sponsorship jobs in Illinois are concentrated in Chicago's tech corridor, where employers like Google, Motorola Solutions, and major financial firms actively file H-1B visa LCAs for ML research roles. The University of Chicago, Northwestern, and UIUC connections also feed strong research pipelines into both startups and enterprise labs across the state.
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Get Access To All JobsWe are deploying machine learning directly onto custom hardware – and we want you to help drive it forward. This PhD internship is an opportunity to work on research that has direct impact on IMC's work tackling open problems at the frontier of low-latency ML inference and hardware acceleration.
You'll work alongside IMC engineers in one of the most demanding low-latency computing environments in the world. You'll own a focused research project from start to finish, present your findings to the team, and leave behind a prototype or benchmark that we can build on.
Your Core Responsibilities
- Architect and develop an ML focused research project based on a real-world trading environment
- Work hands-on with hardware engineers to implement, verify, and deploy ML inference solutions
- Track and evaluate emerging research in neural architecture search, machine learning systems and quantization methods, and determine what translates to measurable improvements in our systems
- Present your project to the team, deepening our collective understanding of an area of ML acceleration
- Gain hardware design fundamentals from skilled RTL developers and learn how they apply to our industry
- Build skills to evaluate research not only from an academic perspective, but through real-world performance constraints, engineering costs, and industry impact
Your Skills and Experience
- Currently enrolled in a PhD program in Electrical Engineering, Computer Science, Physics, or a related field
- Solid understanding of hardware constraints and design trade-offs (e.g., pipelining, resource utilization, fixed-point arithmetic) that shape how ML models can be efficiently mapped onto FPGAs or custom ASICs
- Experience with hardware fundamentals, whether through VHDL/SystemVerilog development, HLS tools, or ML-to-hardware frameworks like hls4ml, FINN, or Vitis AI
- Understanding of machine learning fundamentals – neural network architectures, inference optimization, quantization techniques, ML frameworks such as PyTorch/TensorFlow
- Proficiency in Python or similar languages for tooling, testing, and simulation
- Strong communication skills and ability to work collaboratively across disciplines with both technical and non-technical teams
You may submit one application per role each year. We strongly encourage you to focus on applying to a single role that best matches your skills and interests. Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027.
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.
Base Salary: $225,000
About us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
We are deploying machine learning directly onto custom hardware – and we want you to help drive it forward. This PhD internship is an opportunity to work on research that has direct impact on IMC's work tackling open problems at the frontier of low-latency ML inference and hardware acceleration.
You'll work alongside IMC engineers in one of the most demanding low-latency computing environments in the world. You'll own a focused research project from start to finish, present your findings to the team, and leave behind a prototype or benchmark that we can build on.
Your Core Responsibilities
- Architect and develop an ML focused research project based on a real-world trading environment
- Work hands-on with hardware engineers to implement, verify, and deploy ML inference solutions
- Track and evaluate emerging research in neural architecture search, machine learning systems and quantization methods, and determine what translates to measurable improvements in our systems
- Present your project to the team, deepening our collective understanding of an area of ML acceleration
- Gain hardware design fundamentals from skilled RTL developers and learn how they apply to our industry
- Build skills to evaluate research not only from an academic perspective, but through real-world performance constraints, engineering costs, and industry impact
Your Skills and Experience
- Currently enrolled in a PhD program in Electrical Engineering, Computer Science, Physics, or a related field
- Solid understanding of hardware constraints and design trade-offs (e.g., pipelining, resource utilization, fixed-point arithmetic) that shape how ML models can be efficiently mapped onto FPGAs or custom ASICs
- Experience with hardware fundamentals, whether through VHDL/SystemVerilog development, HLS tools, or ML-to-hardware frameworks like hls4ml, FINN, or Vitis AI
- Understanding of machine learning fundamentals – neural network architectures, inference optimization, quantization techniques, ML frameworks such as PyTorch/TensorFlow
- Proficiency in Python or similar languages for tooling, testing, and simulation
- Strong communication skills and ability to work collaboratively across disciplines with both technical and non-technical teams
You may submit one application per role each year. We strongly encourage you to focus on applying to a single role that best matches your skills and interests. Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027.
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.
Base Salary: $225,000
About us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
Machine Learning Researcher Job Roles in Illinois
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Search Machine Learning Researcher Jobs in IllinoisMachine Learning Researcher Jobs in Illinois: Frequently Asked Questions
Which companies in Illinois sponsor visas for machine learning researchers?
Illinois employers with consistent H-1B filing histories for machine learning research roles include Google's Chicago engineering office, Motorola Solutions, Citadel, and major insurance and healthcare technology firms like Allstate and Tempus. Several mid-size AI startups in Chicago's River North and West Loop neighborhoods also appear in DOL Labor Condition Application disclosure data as active sponsors for ML research positions.
Which visa types realistically cover machine learning researcher roles in Illinois?
Machine learning researcher positions qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a directly related STEM field, making H-1B the primary path. Australian nationals can pursue the E-3 visa, and Chilean and Singaporean nationals have access to H-1B1 visa. F-1 students with STEM-designated degrees can use OPT and the 24-month STEM OPT extension. Employer-sponsored EB-2 or EB-3 green cards are common long-term pathways in this field.
Which cities in Illinois have the most machine learning researcher sponsorship jobs?
Chicago accounts for the large majority of machine learning researcher sponsorship activity in Illinois, particularly in the West Loop, River North, and Fulton Market tech districts. Evanston sees some research-focused hiring tied to Northwestern University. Urbana-Champaign generates significant ML talent through UIUC but has fewer industry sponsorship opportunities locally compared to Chicago, where most research lab hiring is concentrated.
How to find machine learning researcher visa sponsorship jobs in Illinois?
Migrate Mate lists Illinois employers with verified H-1B and other LCA sponsorship histories for machine learning researcher roles, letting you focus on companies that have already demonstrated willingness to sponsor. Because ML research is a competitive specialty, filtering for employers with active filing patterns in Illinois is a practical starting point before applying broadly.
Are there any Illinois-specific factors that affect machine learning researcher visa sponsorship?
Illinois benefits from a dense university research ecosystem anchored by UIUC, the University of Chicago, and Northwestern, which creates direct pipelines into industry sponsorship through OPT and CPT before full H-1B sponsorship. Chicago's growing fintech and health tech sectors also sponsor ML researchers at higher rates than many comparable metros, since quantitative research is core to both industries rather than a support function.
What is the prevailing wage for sponsored machine learning researcher 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.