RippleMatch Logo

RippleMatch

Machine Learning Intern, application via RippleMatch

Posted 3 Days Ago
Be an Early Applicant
Easy Apply
In-Office
Seattle, WA
Internship
Easy Apply
In-Office
Seattle, WA
Internship
This role focuses on machine learning concepts, model training, and data management for candidates pursuing degrees in relevant fields.
The summary above was generated by AI

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 leverage RippleMatch to build 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

3 Days Ago
Easy Apply
In-Office
Seattle, WA, USA
Easy Apply
Internship
Internship
HR Tech
The Machine Learning Intern will support projects involving machine learning concepts, algorithms, and coding, gaining hands-on experience in the field.
Top Skills: JuliaPythonPyTorchRScikit-LearnTensorFlow
8 Minutes Ago
Remote or Hybrid
Kirkland, WA, USA
188K-328K Annually
Senior level
188K-328K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead the Red Hat OS and Kernel strategy, manage Linux kernel operational support, drive OS automation, and provide technical leadership in Linux environments at an enterprise scale.
Top Skills: AnsibleDnfEbpfGoLinuxPuppetPythonRed HatRhelRpmRubySystemdYum
58 Minutes Ago
Remote or Hybrid
18 Locations
150K-176K Annually
Mid level
150K-176K Annually
Mid level
eCommerce • Mobile • Payments
The Client Partner will drive revenue growth through client engagement, develop customized sales strategies, meet revenue targets, and ensure account retention while collaborating closely with team members.
Top Skills: Google SuiteLooker

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account