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Machine Learning Internship Opt Cpt Jobs in Chicago, IL

Jump Trading

Campus FPGA Engineer (Intern)

Chicago, IL · On-site

$250K/yr

... to power trading with machine learning and other algorithms on a global scale. This is an ... We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions. The ...

Jump Trading

Campus FPGA Engineer (Intern)

Chicago, IL · On-site

$250K/yr

... to power trading with machine learning and other algorithms on a global scale. This is an ... We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions. The ...

Jump Trading

Campus FPGA Engineer (Intern)

Chicago, IL · On-site

$250K/yr

... to power trading with machine learning and other algorithms on a global scale. This is an ... We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions. The ...

Northern Trust

Principal, Solution Architect

Chicago, IL · On-site

$137K - $233K/yr

Understanding of AI / Machine learning is an added advantage. * Strong development background using ... 1, OPT, CPT or any other employment-based visa). Working with Us As a Northern Trust partner, you ...

Northern Trust

Principal, Solution Architect

Chicago, IL

$137K - $233K/yr

Understanding of AI / Machine learning is an added advantage. * Strong development background using ... 1, OPT, CPT or any other employment-based visa). Working with Us As a Northern Trust partner, you ...

Northern Trust

Principal, Solution Architect

Chicago, IL · On-site

$137K - $233K/yr

Understanding of AI / Machine learning is an added advantage. * Strong development background using ... 1, OPT, CPT or any other employment-based visa). Working with Us As a Northern Trust partner, you ...

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All JobsMachine Learning Opt Cpt JobsMachine Learning Internship Opt Cpt JobsMachine Learning Internship Opt Cpt Jobs in Chicago, IL

Machine Learning Internship Opt Cpt information

See Chicago, IL salary details

$26.3K

$43.9K

$90.7K

How much do machine learning internship opt cpt jobs pay per year?

As of Aug 23, 2026, the average yearly pay for machine learning internship opt cpt in Chicago, IL is $43,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $47,400.00 per year, depending on experience, location, and employer.

What is a machine learning internship OPT CPT?

A Machine Learning Internship OPT CPT refers to an internship opportunity in the field of machine learning that is specifically available to international students in the U.S. on F-1 visas, who are eligible for Optional Practical Training (OPT) or Curricular Practical Training (CPT). These internships allow students to gain hands-on experience applying machine learning techniques in real-world projects while meeting their academic requirements or career goals. The roles typically involve tasks such as data analysis, building predictive models, and working with large datasets using programming languages like Python or R. OPT is usually used after graduation, while CPT is often part of the academic curriculum during the degree program.

What kinds of projects or tasks can a machine learning intern expect to work on during an internship?

As a Machine Learning intern, you can expect to be involved in projects such as data preprocessing, exploratory data analysis, model building, and performance evaluation. Interns often work with real datasets, contribute to feature engineering, and assist in deploying models or creating proof-of-concept solutions. Collaboration with data scientists, engineers, and sometimes product teams is common, providing valuable insights into real-world machine learning workflows. This hands-on experience helps interns build technical skills and gain exposure to best practices in the field.

What are the key skills and qualifications needed to thrive as a machine learning intern OPT CPT?

To thrive as a Machine Learning Intern (OPT CPT), you need a solid background in computer science, mathematics, and statistics, often demonstrated by coursework or a related degree. Experience with programming languages like Python or R, familiarity with machine learning frameworks such as TensorFlow or scikit-learn, and understanding of data analysis tools are commonly required. Strong problem-solving abilities, curiosity, and effective teamwork and communication skills help interns stand out. These skills are crucial for successfully contributing to projects, learning from real-world data, and collaborating with multidisciplinary teams.

What is the difference between Machine Learning Internship Opt Cpt vs Data Science Internship?

AspectMachine Learning Internship Opt CptData Science Internship
Required CredentialsTypically requires coursework or experience in machine learning, programming, and statisticsRequires knowledge in statistics, data analysis, and programming, often with a focus on data manipulation
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBroad industry sectors including finance, healthcare, tech, with data analysis focus
Employer & Industry UsageUsed by companies developing AI/ML products and servicesUsed across industries for data-driven decision making

While both internships involve working with data, the Machine Learning Internship Opt Cpt focuses on developing algorithms and models, whereas Data Science Internships emphasize data analysis and insights. Your choice depends on whether you want to specialize in machine learning techniques or broader data analysis tasks.

Is machine learning a high paying job?

Machine learning internships, such as those in machine learning roles, often offer competitive salaries that can lead to high-paying careers in data science and AI. Entry-level positions typically provide a good starting salary, which increases with experience, skills in programming, and knowledge of tools like Python and TensorFlow.

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Machine Learning Internship Opt Cpt jobs near you

Campus FPGA Engineer (Intern)

Jump Trading

Chicago, IL • On-site

$250K/yr

Other

Re-posted 15 days ago

Job description

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Core Development is a global team of technologists who lean into the cutting edge of agentic development to architect, build and maintain our world-class trading platform From optimizing our core trading engine to building custom hardware, we leverage the latest agentic tools to deliver the infrastructure that drives our trading and business needs.

What You'll Do:

We're looking for engineers to join our FPGA team that is building next-generation, ultra-low-latency systems to power trading with machine learning and other algorithms on a global scale.

This is an opportunity to work on complex problems around networking, high performance computing, and real-time acceleration where we can't just use off-the-shelf hardware.

You'll work alongside a small team of experienced engineers who came to Jump from leading companies in FPGAs, semiconductors, networking cards, and more... as well as PhDs from top FPGA research labs around the world.

Other duties as assigned or needed

Skills You'll Need:

  • Undergraduate or Graduate concentration in Electrical Engineering, Computer Science, or related areas
  • Experience with FPGA or other hardware/systems design and development
  • Experience with RTL (SystemVerilog/Verilog/VHDL)
  • Previous internship experience in hardware or low-level software engineering
  • Experience with C, C++, or Python
  • Passion for solving complex problems and ability to draw upon knowledge and experience from a variety of technical areas to produce extremely high-performance solutions
  • Reliable and predictable availability

Also Helpful, but Not Required:

  • lowRISC or RISC-V
  • CocoTB, Chisel, Opencore, or Bluespec
  • HLS or OpenCL
  • Any programming close to the metal with CPU, GPU, microprocessors, etc.
  • Linux kernel and driver programming
  • Robotics, Telecommunications, or High Speed Networking
  • Raspberry Pi or Arduino
  • Excellent marks in courses such as computer architecture, digital design, design verification
  • No finance or economics study or work experience required

INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions.

The estimated base salary for this role is $250,000 per year.

Apply