Applied Science Intern: RL and Optimization

Amazon; Seattle (WA); On-site; USD 41,328 - 55,104; Full time

Benefits offered by this job

Access to state-of-the-art resources

Mentorship from industry leaders

Immersive experience in AI research

Job summary

A leading technology and innovation company is looking for graduate student scientists for Machine Learning Applied Science Internships. Successful candidates will engage in cutting-edge research in deep reinforcement learning and develop solutions to complex industry problems. This internship provides access to advanced resources and mentorship while fostering an innovative work environment. Opportunities are available in multiple locations, including Seattle, WA.

Qualifications

• Graduate student in a related field with knowledge in machine learning and AI.
• Skills in deep reinforcement learning and advanced statistical modeling.
• Ability to work collaboratively in an innovative environment.

Responsibilities

• Conduct research into the theory and applications of deep reinforcement learning.
• Propose and deploy machine learning solutions to complex problems.
• Collaborate with product managers and scientists to drive innovation.

Skills

Machine learning

Deep reinforcement learning

Statistical modeling

Graph models

Bayesian optimization

Time series analysis

Job description

A leading technology and innovation company is looking for graduate student scientists for Machine Learning Applied Science Internships. Successful candidates will engage in cutting-edge research in deep reinforcement learning and develop solutions to complex industry problems. This internship provides access to advanced resources and mentorship while fostering an innovative work environment. Opportunities are available in multiple locations, including Seattle, WA.