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Fall Machine Learning Co Op Jobs in Brooklyn, NY

2027 PhD Research Engineering Intern/Co-op

Secaucus, NJ · On-site

$17 - $22/hr

Summer/Fall Co-op : * Semester Students: May 24, 2027 - December 10, 2027 * Quarter Students: June ... software co-design, machine learning) * FPGA or ASIC-based RTL design and verification, FPGA ...

New

Preschool Support Teacher

Brooklyn, NY · On-site

$34K - $40K/yr

... in the fall of 2009. In 2011, The Co-op School launched the first kindergarten class of its ... The Co-op School facilitates joyful learning through a unique and rigorous constructivist approach ...

Assists in the modeling, architecture, and development of machine learning hardware (co-designed with machine learning software) for inference or training solutions. * Assists in the development of ...

Whether painting walls, assembling furniture, growing the school through various initiatives, and much more, we all help The Co-op School flourish. Meanwhile, faculty collaborate to create learning ...

Machine Learning Compiler

New York, NY · On-site

$140K - $211K/yr

... co-designed with machine learning software) for inference or training solutions. • Assists in the development of optimized software to enable AI models deployed on hardware (e.g., machine learning ...

Assists in the modeling, architecture, and development of machine learning hardware (co-designed with machine learning software) for inference or training solutions.Assists in the development of ...

This co-op position requires a full-time commitment of 40 hours per week during the Fall 2026 semester (approximately July through December) and will require to be onsite at our NYC office a minimum ...

This co-op position requires a full-time commitment of 40 hours per week during the Fall 2026 semester (approximately July through December) and will require to be onsite at our NYC office a minimum ...

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Fall Machine Learning Co Op information

See Brooklyn, NY salary details

$26.8K

$44.8K

$92.5K

How much do fall machine learning co op jobs pay per year?

As of Aug 24, 2026, the average yearly pay for fall machine learning co op in Brooklyn, NY is $44,777.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,200.00 and $48,400.00 per year, depending on experience, location, and employer.

What is a Fall Machine Learning Co Op?

A Fall Machine Learning Co-Op is a temporary, typically full-time position for students or recent graduates to gain hands-on experience in applying machine learning techniques. These roles usually involve working with data, training models, and optimizing algorithms under the supervision of experienced engineers or researchers. They are offered during the fall semester and can last several months. Companies use these positions to provide practical learning opportunities and assess potential future hires.

What can I expect from the day-to-day experience of a Fall Machine Learning Co Op?

As a Fall Machine Learning Co Op, you'll typically work with a team of data scientists and engineers on real projects that may involve data cleaning, model development, testing, and reporting insights. Your days might include collaborating in meetings, coding, analyzing data, and presenting findings to team members or supervisors. You'll receive mentorship from experienced professionals and have opportunities to participate in code reviews and brainstorming sessions. This structure helps you build technical skills, broaden your professional network, and gain a comprehensive understanding of how machine learning is applied in a business setting.

What are the key skills and qualifications needed to thrive in the Fall Machine Learning Co Op position, and why are they important?

To thrive as a Fall Machine Learning Co Op, you should have a solid background in programming (especially Python), statistics, and machine learning concepts, often supported by coursework or hands-on projects in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, and data analysis libraries such as pandas and scikit-learn is highly valued, while certifications in AI or data science can be a plus. Strong problem-solving skills, eagerness to learn, effective communication, and teamwork help you stand out in this role. These skills are crucial for contributing to real-world projects, collaborating with technical teams, and gaining valuable experience in a fast-paced, innovation-driven environment.

What are popular job titles related to Fall Machine Learning Co Op jobs in Brooklyn, NY?

For Fall Machine Learning Co Op jobs in Brooklyn, NY, the most frequently searched job titles are:

What job categories do people searching Fall Machine Learning Co Op jobs in Brooklyn, NY look for?

The top searched job categories for Fall Machine Learning Co Op jobs in Brooklyn, NY are:

What cities near Brooklyn, NY are hiring for Fall Machine Learning Co Op jobs?

Cities near Brooklyn, NY with the most Fall Machine Learning Co Op job openings:

Infographic showing various Fall Machine Learning Co Op job openings in Brooklyn, NY as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $44,777 per year, or $21.5 per hour.

2027 PhD Research Engineering Intern/Co-op

Advanced Micro Devices , Inc.

Secaucus, NJ • On-site

Other

Posted 3 days ago

New


Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

28th of 159 rated electronics manufacturers


Job description

AMD Research Internship/Co-op

At AMD, we believe technology has the power to solve the world's most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.

Whether you're designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we'll advance your career.

As an AMD intern and co-op, you'll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You'll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you're an undergrad or a PhD student, your contributions matter—and your experience here will be a launchpad for what comes next.

Locations: Austin, TX, Boxborough, MA, Fort Collins, CO, Longmont, CO, Fishkill, NY, Rochester, NY, Secaucus, NJ

Onsite/Hybrid: This role requires the student to work full time (40 hours a week), in either a hybrid or onsite work structure throughout the duration of the co-op/intern term

Duration:

  • Spring/Summer Co-op: January 15, 2027 - August 13, 2027
  • Summer Internship:
    • Semester Students: May 24, 2027 - August 13, 2027
    • Quarter Students: June 21, 2027 - September 10, 2027
  • Summer/Fall Co-op:
    • Semester Students: May 24, 2027 - December 10, 2027
    • Quarter Students: June 21, 2027 - December 10, 2027

AMD Research is an entrepreneurial research organization with a strong background of driving research innovations into AMD products. We are seeking a highly motivated Research Engineering intern/co-op to join our team. In this role:

  • We will train and enable you to invent the hardware and software technologies of next generation computing platforms
  • We will encourage you to contribute to an environment that has the potential to directly impact product roadmaps and to help build our future products
  • We will assign responsibilities that will enable product development and help improve their performance and efficiency

We are looking for someone who is currently enrolled in a US based University in a PhD program majoring in Computer Science, Computer Engineering, Electrical Engineering or a related field. If you have knowledge or experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply:

  • C/C++, Verilog HDL, Python, P4, ML frameworks, /C++, Java, MATLAB, Go
  • Research experience and publications in related areas (e.g., computing systems, networking, hardware/software co-design, machine learning)
  • FPGA or ASIC-based RTL design and verification, FPGA deployment and programming, FPGA based acceleration of cloud applications, programmable data plane, machine learning training on GPUs
  • Distributed systems, data center networking, high performance computing, and distributed machine learning training
  • ML frameworks such as PyTorch and/or TensorFlow

Note: By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of intern opportunities, a recruiter will contact you.

This role is not eligible for visa sponsorship.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.

This posting is for an existing vacancy.


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