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Fall Machine Learning Co Op Jobs in Washington (NOW HIRING)

Electra

Supply Chain Co-Op

Manassas, VA · On-site

$20/hr

Electra.aero is seeking an enthusiastic college student to contribute and gain experience to our Supply Chain Manufacturing team during the Fall 2025 and/or Spring 2026 semester terms onsite in ...

Electra Aero, Inc.

Supply Chain Co-Op

Manassas, VA · On-site

$20/hr

Electra.aero is seeking an enthusiastic college student to contribute and gain experience to our Supply Chain Manufacturing team during the Fall 2025 and/or Spring 2026 semester terms onsite in ...

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All JobsFall Machine Learning Co Op JobsFall Machine Learning Co Op Jobs in Washington

Fall Machine Learning Co Op information

What is a Fall Machine Learning Co Op job?

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 Washington? For Fall Machine Learning Co Op jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Fall Machine Learning Co Op jobs in Washington look for? The top searched job categories for Fall Machine Learning Co Op jobs in Washington are:
What cities in Washington are hiring for Fall Machine Learning Co Op jobs? Cities in Washington with the most Fall Machine Learning Co Op job openings:
Fall Machine Learning Co Op jobs near you
Infographic showing various Fall Machine Learning Co Op job openings in Washington as of June 2026, with employment types broken down into 13% Internship, 69% Full Time, 10% Part Time, and 8% Temporary. Highlights an 86% In-person, 6% Hybrid, and 8% Remote job distribution.
DSP Application Engineer Co-op

DSP Application Engineer Co-op

Annapolis Micro Systems, Inc.

Annapolis, MD • On-site

$24 - $31/hr

Full-time

Posted 22 days ago

Job description

We are the leader in COTS FPGA-based high-performance computing. As the DSP Application Engineer Co-op, you'll have the opportunity to work on a wide-ranging set of exciting customer and internal applications, implementing cutting-edge algorithms using industry-leading FPGA products with analog and digital acquisition/transmission technologies.
You will design, develop, and test a wide range of applications leveraging our patented CoreFire FPGA Design Suite and targeting our industry-leading COTS FPGA computing products. Your responsibilities will often span from application conception through application deployment, including working with customers to enumerate and understand requirements, architecting a robust system based on requirements, designing and implementing customer algorithms using our CoreFire FPGA Design Suite and C/Java/Matlab, testing implementations and systems using COTS FPGA computing products, and aiding with integration of deployed systems.
Enjoy the benefits of working for a small privately-held company with on-site hardware and software design, as well as on-site manufacturing and test. The close coupling of all aspects of design and production under one roof allows us to create products and systems at a rapid pace while maintaining the highest possible quality. The opportunity to interact with other departments daily provides a first-rate opportunity to further develop your career as you diversify your experiences.
Essential Duties and Responsibilities
  • Architect FPGA-based parallel processing computing systems using AMS Products
  • Program FPGAs for real-time DSP functions utilizing Analog-to-Digital Converter (ADC) front-ends, Digital-to-Analog Converter (DAC) back-ends, and High-Speed-Serial (HSS) IO
  • May be involved in working with high-performance Graphical User Interfaces (GUIs) using C / C++ / Java and graphics libraries
  • Design for FPGAs using VHDL or CoreFire Next Design Suite
  • Develop and implement Digital Signal Processing (DSP), communications, imaging, and other algorithms
  • Interact with customers regarding application development and application support tasks

Requirements
  • Currently pursuing a bachelor's or master's degree in Computer Engineering or related field
  • Knowledge of digital design practices and methodology
  • Knowledge of or experience with Xilinx and Altera FPGAs and Design Tools
  • Experience with Matlab / Octave
  • Experience with C/C++/Java, with experience in graphics
  • Experience with VHDL or Verilog
  • Knowledge of or experience with DSP, processing data from ADCs, generating data to DACs
  • U.S. Citizenship
  • Availability to work two consecutive terms (Summer/Fall or Spring/Summer)

In compliance with local laws regarding pay transparency, the hourly rate for this role is $24/hr to $31/hr; however, Annapolis Micro Systems considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate's work experience, education/training, and key skills.

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