J-1 Visa Machine Learning Research Jobs
Machine Learning Research positions in the U.S. typically fall under the J-1 visa Research Scholar or Specialist category, with sponsorship issued by a State Department-designated organization rather than your host employer. Placement at universities, national labs, or AI research institutes is common, and some positions carry a two-year home residency requirement.
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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.
See all 34+ J-1 Visa Machine Learning Research Jobs
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Get Access To All JobsTips for Finding J-1 Visa Sponsorship in Machine Learning Research
Document your research output before applying
Compile publications, conference papers, and technical reports into a single portfolio. Designated J-1 sponsors evaluate your scholarly record when assessing Research Scholar category eligibility, and gaps in documentation slow DS-2019 issuance significantly.
Confirm whether your role triggers the home residency requirement
Machine Learning Research positions funded by a government agency or tied to skills on the Exchange Visitor Skills List may carry a two-year home residency requirement. Verify your situation with your prospective designated sponsor before accepting any offer.
Target host institutions with active designated sponsor agreements
Universities, national laboratories like Argonne or Oak Ridge, and private AI research institutes often hold standing agreements with sponsors like IIE or Cultural Vistas. Search Migrate Mate to filter for ML research roles at organizations already familiar with the J-1 host process.
Negotiate a training plan before your start date
Your designated sponsor must approve a written training plan before issuing the DS-2019. Have your host institution's research office draft this document early, mapping your ML research objectives to specific deliverables and supervision arrangements.
Distinguish Research Scholar from Specialist when your role is narrow
If your engagement is a defined technical consultation rather than open-ended research, your sponsor may place you in the Specialist category instead. Specialist status caps your stay at one year with no extension, so clarify program category expectations during the offer stage.
Check the wage floor against prevailing rates before signing
Even though J-1 is not employer-sponsored, your host institution must pay at least the prevailing wage for your occupation and location. Cross-reference your offered compensation against the OFLC Wage Search for your SOC code before committing.
Machine Learning Research J-1 Visa: Frequently Asked Questions
Which J-1 program category applies to Machine Learning Research roles?
Most Machine Learning Research positions fall under the Research Scholar category, which covers postdoctoral researchers, visiting scientists, and faculty engaged in original research at U.S. universities or research institutions. If your role is a defined technical engagement rather than open-ended inquiry, your designated sponsor may classify you under the Specialist category instead, which carries a one-year maximum stay.
Who actually sponsors the J-1 visa for a Machine Learning Research position?
The visa sponsor is a U.S. Department of State-designated organization, not your host employer. Entities like IIE, Cultural Vistas, or a university's own designated sponsor office issue the DS-2019 form that initiates your visa application. Your host institution, such as a university lab or AI research center, is the placement site, but it does not hold sponsorship authority itself.
How do I find U.S. employers and research institutions open to J-1 Research Scholar placements?
Use Migrate Mate to search for Machine Learning Research roles at institutions with J-1 hosting history. Universities, federally funded research labs, and some private AI institutes regularly host J-1 exchange visitors and have established relationships with designated sponsors. Filtering by institution type helps you avoid organizations unfamiliar with the host-employer compliance requirements.
Does a Machine Learning Research J-1 position trigger the two-year home residency requirement?
It depends on two factors: whether your home country appears on the Exchange Visitor Skills List for machine learning or related fields, and whether your position receives U.S. government funding. If either condition applies, you'll be subject to the two-year home residency requirement before you can change to most other U.S. visa categories. Confirm this with your designated sponsor before accepting an offer.
Can a Machine Learning Research J-1 position lead to an H-1B or other long-term work visa?
Yes, but the path depends on whether you're subject to the two-year home residency requirement. If you're not subject to it, you can apply for an H-1B visa or pursue other nonimmigrant categories after your J-1 ends. If you are subject to it, you'll need either a waiver or to fulfill the requirement first. Many ML researchers use J-1 as a bridge to a tenure-track position or industry role that then sponsors longer-term status.