Data Science Engineer Visa Sponsorship Jobs in Illinois
Illinois is a strong market for data science engineer roles, with major employers like Allstate, Morningstar, Zebra Technologies, and United Airlines actively hiring in Chicago and surrounding suburbs. The city's finance, insurance, and logistics sectors generate consistent demand, and the presence of top research universities creates a steady pipeline of sponsored talent.
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About The Team
Grindr is an AI-native platform powering how millions of gay people connect globally. With 15M+ monthly users, 130B+ annual messages, and a team of fewer than 200, we move fast, stay lean, and tackle technical problems at a scale few companies ever see. We at Grindr believe that AI can revolutionize the dating industry. As a Staff MLOps Engineer, you will build and own the infrastructure, tooling, and scalable systems that make high-impact AI possible. You’ll architect and maintain the platforms that power data ingestion, feature computation, model training, automated evaluation, deployment, and ongoing monitoring for the ML teams building recommendations, LLM-based experiences, ads, visual search, growth, and trust & safety. You will design foundational systems that allow our ML engineers to experiment faster, ship models more reliably, and operate them with confidence in production. At Grindr, we operate in Grindr Mode. Moderately hardcore day to day, truly hardcore when it counts. It’s about doing great work without burning out. Outcomes over outputs. Smart, driven people who raise your bar, with room to live full lives. This is a hybrid role based in our Bay Area (SF or Palo Alto) or our Chicago offices and will require you to be in office Tuesdays and Thursdays.
About The Job
- Build and maintain end-to-end ML pipelines for data ingestion, feature computation, model training, validation, deployment, and inference, all at substantial scale of data.
- Stand up and manage a feature store, ensuring feature consistency, lineage, and reuse across teams.
- Expertise with best in class tools for managing deployment, scheduling, and environments and how to use them in the specialized regime of ML Infrastructure.
- Develop automated model deployment workflows with CI/CD, safe rollout strategies, and reproducibility guarantees.
- Implement monitoring and observability for ML systems, including data quality checks, drift detection, performance metrics, and alerting.
- Build and support training environments with experiment tracking, distributed training, hyperparameter tuning, and artifact and environment management.
- Collaborate with ML engineers and data engineers to streamline workflows, improve model iteration speed, and enforce MLOps best practices.
- Ensure reliability, scalability, and maintainability of ML systems through strong engineering and operational rigor.
Role Requirements
- Bachelor’s degree in CS, Engineering, Mathematics, or related field.
- 5+ years experience in MLOps, ML platform engineering, ML infrastructure, or similar roles.
- Strong experience building production ML pipelines and supporting end-to-end ML workflows.
- Excellent engineering fundamentals: Python, SQL, bash, Git.
- Experience with big data and distributed compute: Snowflake, Spark/pySpark, Airflow, Kubernetes, Docker, Helm.
- Experience with ML frameworks (PyTorch, TensorFlow) sufficient to support training pipelines and deployment workflows.
- Strong understanding of cloud platforms (AWS, GCP, or Azure).
- Ability to produce well-engineered, maintainable software with tests, documentation, and operational rigor.
- Experience with data quality frameworks, observability tooling, or experiment tracking systems.
You May Thrive In This Role If You
- Experience implementing full model lifecycle management (from data → training → deployment → monitoring).
- Experience with vector databases, embeddings pipelines, or retrieval systems.
- Familiarity with NLP/LLM-based data pipelines or image/vision data workflows.
- Experience with recommendation system infrastructure.
- Strong grasp of classical ML concepts as they relate to platform design.
- Knowledge of data governance, compliance, retention, and classification.
- Track record of partnering with research/ML teams to operationalize models at scale.
Benefits And Perks
- Health, Dental & Vision Full premium coverage for you. Partial coverage for dependents.
- Family Formation Up to $200,000 in fertility and family-building support, covering IVF, surrogacy, egg freezing, and adoption.
- Retirement: 401(k) with 6% match and immediate vesting.
- Compensation: Industry-competitive compensation, company bonus, and equity for every employee.
- Gender-Affirming Care: Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more.
- Time Off & Rest Flexible vacation policy. Two company-wide rest weeks per year.
- Other Benefits: Monthly stipends for cell phone, internet, wellness, food, and commuting, breakfast/lunch.
About Grindr
Grindr is building the global gayborhood in your pocket. With more than 15 million monthly active users, Grindr has become a fundamental part of the gay community and is charting a path to make the world more free, equal, and just. As a public company, we're moving into the next chapter: becoming an AI-native organization that's redefining what's possible for our community. We're embedding AI into our product and operations, moving with startup speed while operating at scale. Everything we do is rooted in impact for our users and outcomes for the business. This isn't social work, it’s impact through excellence. Business success is what gives us the power to serve our community and the seat at tables others can't reach. How we work is defined by Grindr Mode, our operating model that's moderately hardcore day-to-day and truly hardcore when it counts. We think like owners, drive real outcomes, create clarity through action, and push each other to go further than we thought possible. We’re headquartered in West Hollywood with offices in the Bay Area, Chicago, and New York. Our work extends beyond the product through Grindr for Equality, our nonprofit that's partnered with 100+ community organizations globally to advance safety, health, and human rights for LGBTQ+ people worldwide. We're profitable, growing, and building a team of smart, driven people who bring different backgrounds, experiences, and perspectives to the work. Want to build technology at a massive scale that serves millions? Come join us!
Grindr is an equal-opportunity employer.
To learn more about how we handle the personal data of applicants, visit our Employee and Candidate Privacy Policy.

About The Team
Grindr is an AI-native platform powering how millions of gay people connect globally. With 15M+ monthly users, 130B+ annual messages, and a team of fewer than 200, we move fast, stay lean, and tackle technical problems at a scale few companies ever see. We at Grindr believe that AI can revolutionize the dating industry. As a Staff MLOps Engineer, you will build and own the infrastructure, tooling, and scalable systems that make high-impact AI possible. You’ll architect and maintain the platforms that power data ingestion, feature computation, model training, automated evaluation, deployment, and ongoing monitoring for the ML teams building recommendations, LLM-based experiences, ads, visual search, growth, and trust & safety. You will design foundational systems that allow our ML engineers to experiment faster, ship models more reliably, and operate them with confidence in production. At Grindr, we operate in Grindr Mode. Moderately hardcore day to day, truly hardcore when it counts. It’s about doing great work without burning out. Outcomes over outputs. Smart, driven people who raise your bar, with room to live full lives. This is a hybrid role based in our Bay Area (SF or Palo Alto) or our Chicago offices and will require you to be in office Tuesdays and Thursdays.
About The Job
- Build and maintain end-to-end ML pipelines for data ingestion, feature computation, model training, validation, deployment, and inference, all at substantial scale of data.
- Stand up and manage a feature store, ensuring feature consistency, lineage, and reuse across teams.
- Expertise with best in class tools for managing deployment, scheduling, and environments and how to use them in the specialized regime of ML Infrastructure.
- Develop automated model deployment workflows with CI/CD, safe rollout strategies, and reproducibility guarantees.
- Implement monitoring and observability for ML systems, including data quality checks, drift detection, performance metrics, and alerting.
- Build and support training environments with experiment tracking, distributed training, hyperparameter tuning, and artifact and environment management.
- Collaborate with ML engineers and data engineers to streamline workflows, improve model iteration speed, and enforce MLOps best practices.
- Ensure reliability, scalability, and maintainability of ML systems through strong engineering and operational rigor.
Role Requirements
- Bachelor’s degree in CS, Engineering, Mathematics, or related field.
- 5+ years experience in MLOps, ML platform engineering, ML infrastructure, or similar roles.
- Strong experience building production ML pipelines and supporting end-to-end ML workflows.
- Excellent engineering fundamentals: Python, SQL, bash, Git.
- Experience with big data and distributed compute: Snowflake, Spark/pySpark, Airflow, Kubernetes, Docker, Helm.
- Experience with ML frameworks (PyTorch, TensorFlow) sufficient to support training pipelines and deployment workflows.
- Strong understanding of cloud platforms (AWS, GCP, or Azure).
- Ability to produce well-engineered, maintainable software with tests, documentation, and operational rigor.
- Experience with data quality frameworks, observability tooling, or experiment tracking systems.
You May Thrive In This Role If You
- Experience implementing full model lifecycle management (from data → training → deployment → monitoring).
- Experience with vector databases, embeddings pipelines, or retrieval systems.
- Familiarity with NLP/LLM-based data pipelines or image/vision data workflows.
- Experience with recommendation system infrastructure.
- Strong grasp of classical ML concepts as they relate to platform design.
- Knowledge of data governance, compliance, retention, and classification.
- Track record of partnering with research/ML teams to operationalize models at scale.
Benefits And Perks
- Health, Dental & Vision Full premium coverage for you. Partial coverage for dependents.
- Family Formation Up to $200,000 in fertility and family-building support, covering IVF, surrogacy, egg freezing, and adoption.
- Retirement: 401(k) with 6% match and immediate vesting.
- Compensation: Industry-competitive compensation, company bonus, and equity for every employee.
- Gender-Affirming Care: Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more.
- Time Off & Rest Flexible vacation policy. Two company-wide rest weeks per year.
- Other Benefits: Monthly stipends for cell phone, internet, wellness, food, and commuting, breakfast/lunch.
About Grindr
Grindr is building the global gayborhood in your pocket. With more than 15 million monthly active users, Grindr has become a fundamental part of the gay community and is charting a path to make the world more free, equal, and just. As a public company, we're moving into the next chapter: becoming an AI-native organization that's redefining what's possible for our community. We're embedding AI into our product and operations, moving with startup speed while operating at scale. Everything we do is rooted in impact for our users and outcomes for the business. This isn't social work, it’s impact through excellence. Business success is what gives us the power to serve our community and the seat at tables others can't reach. How we work is defined by Grindr Mode, our operating model that's moderately hardcore day-to-day and truly hardcore when it counts. We think like owners, drive real outcomes, create clarity through action, and push each other to go further than we thought possible. We’re headquartered in West Hollywood with offices in the Bay Area, Chicago, and New York. Our work extends beyond the product through Grindr for Equality, our nonprofit that's partnered with 100+ community organizations globally to advance safety, health, and human rights for LGBTQ+ people worldwide. We're profitable, growing, and building a team of smart, driven people who bring different backgrounds, experiences, and perspectives to the work. Want to build technology at a massive scale that serves millions? Come join us!
Grindr is an equal-opportunity employer.
To learn more about how we handle the personal data of applicants, visit our Employee and Candidate Privacy Policy.
Data Science Engineer Job Roles in Illinois
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Search Data Science Engineer Jobs in IllinoisData Science Engineer Jobs in Illinois: Frequently Asked Questions
Which companies sponsor visas for data science engineers in Illinois?
Large Illinois-based employers with established sponsorship track records include Allstate, Morningstar, Zebra Technologies, United Airlines, Walgreens Boots Alliance, and Discover Financial. Chicago's major consulting and technology firms, including Accenture and Thoughtworks, also regularly file H-1B petitions for data science engineer roles. Mid-sized startups in the Fulton Market and River North tech corridors sponsor as well, though less frequently than enterprise employers.
Which visa types are most common for data science engineer roles in Illinois?
The H-1B is the most common visa for data science engineers in Illinois, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates already holding OPT or STEM OPT can work while their employer files. The O-1A is an option for engineers with strong publication records or notable industry recognition, though it requires substantial documentation.
Which cities in Illinois have the most data science engineer sponsorship jobs?
Chicago accounts for the overwhelming majority of data science engineer sponsorship activity in Illinois, particularly in the Loop, Fulton Market, and River North neighborhoods. The northern suburbs, including Deerfield and Schaumburg, also have demand driven by employers like Walgreens and Motorola Solutions. Outside the Chicagoland area, sponsorship opportunities for this role are limited.
How to find data science engineer visa sponsorship jobs in Illinois?
Migrate Mate lets you filter data science engineer roles specifically by visa sponsorship availability and state, making it straightforward to identify Illinois employers actively open to sponsoring. Because sponsorship intent isn't always listed in standard job postings, a platform built around immigration filters saves significant time. Migrate Mate aggregates roles from Illinois employers, including Chicago's finance, insurance, and tech sectors, where sponsorship is most common for this role.
Are there any Illinois-specific factors data science engineers should know about visa sponsorship?
Illinois employers must pay data science engineers at the prevailing wage level set by the Department of Labor for the Chicago-Naperville-Elgin metropolitan area, which is one of the higher-cost regions in the Midwest. The University of Illinois, Northwestern, and University of Chicago all generate significant OPT pipelines, meaning Illinois employers are generally familiar with sponsorship processes. Finance and insurance firms, heavily concentrated in Chicago, have some of the highest H-1B filing rates in the state for data-related roles.
What is the prevailing wage for sponsored data science 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.
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