The Machine Learning Intern will assist with data processing, model training, and application of algorithms while collaborating with teams to complete projects.
This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent.
About RippleMatch
RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we’ll get you interviews! Leading employers such as eBay and Teach For America leverage RippleMatch to build diverse, high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers.
Requirements for the role
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Computer Engineering, Artificial Intelligence, or a related field.
- Strong foundation in machine learning concepts, algorithms, and applications.
- Proficiency in programming languages commonly used in machine learning such as Python, R, or Julia.
- Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Knowledge of data management and visualization tools.
- Ability to preprocess data, choose appropriate models, train models, and evaluate their performance.
- Strong mathematical background, especially in statistics, probability, and linear algebra.
- Good organizational and project management skills, with the ability to handle multiple tasks and complex projects.
- Effective communication and interpersonal skills, essential for working collaboratively in a research or development team.
- Eagerness to learn new techniques and stay updated with the latest advancements in the field of machine learning.
Top Skills
Julia
Python
PyTorch
R
Scikit-Learn
TensorFlow
Similar Jobs
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
As a Senior Machine Learning Modeler, you'll develop ML models to prevent fraudulent activity, leveraging generative AI and data analysis to enhance productivity and automate workflows across various platforms.
Top Skills:
AirflowAWSBertGCPLlmsPythonPyTorchSnowflake
Fintech • Information Technology • Payments • Financial Services • Cryptocurrency
The Senior Site Reliability Engineer will manage the production environment for the FedNow Service, implementing monitoring tools and CI/CD automation, supporting technical operations, interfacing with internal stakeholders, and driving continuous improvement initiatives while ensuring system reliability and scalability.
Fitness • Hardware • Healthtech • Sports • Wearables
The Field Quality Engineer II at WHOOP will manage product returns analysis, improve quality processes, and lead team initiatives for performance improvements.
Top Skills:
Data AnalysisElectrical EngineeringManufacturingMechanical Engineering
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories