Intern developing machine learning models and systems to power personalized recommendations at Netflix. Collaborating with cross-functional teams to enhance user experience and operational efficiency.
Responsibilities
Design, build, and deploy machine learning models and systems
Develop and maintain scalable ML pipelines and infrastructure
Collaborate with data scientists, product managers, and engineers to translate business needs into ML solutions
Experiment with new algorithms and techniques to improve user experience and operational efficiency
Requirements
Currently enrolled student pursuing an advanced degree (Master’s or PhD)
Some experience with machine learning areas
Proficiency or familiarity with languages such as Python, Java, Scala, or Spark
Experience with ML frameworks and libraries such as Pandas, NumPy, or Scikit-learn
Great communication skills, both oral and written
Intent to return to your degree-program after the completion of the internship
Benefits
Paid internship
Professional development opportunities
Research experiences
Access to best-in-class TV series, films and games
Senior Software Developer working on ML Infrastructure and Deployment at Verafin. Helping develop cutting - edge fraud detection tools alongside analytics teams using AWS and Terraform.
Machine Learning Engineer developing advanced SLAM systems for autonomous trucking environments at Bot Auto. Collaborating with cross - functional teams to optimize mapping solutions and ensure operational stability.
Graduate Deep Learning Algorithm Developer developing perception technologies for autonomous driving. Tackling challenges in object detection and 3D perception using state - of - the - art deep learning models.
Principal AI/ML Engineer leading the AI/ML infrastructure development for WEX's risk service needs. Focused on innovative engineering and technology solutions within a high - stakes environment.
AI/ML Engineer developing solutions in artificial intelligence for HPE. Responsible for conducting research, designing AI solutions, and mentoring team members.
Machine Learning Engineer focusing on modeling cancer cells and developing related tools. Collaborating with researchers and scientists to advance cancer treatment through ML.
Machine Learning Engineer II developing production - grade ML models for fraud detection at GEICO. Collaborating on system architecture and ensuring optimal performance of fraud assessment systems.
AI/ML Engineer III designing and architecting AI solutions at Hewlett Packard Enterprise. Collaborating with teams to drive innovation and tackle complex problems.
AI/ML Engineer deploying state - of - the - art AI models to solve real - world problems at Brain Co. Working in healthcare, government, and energy sectors for impactful results.
Trainer at WeAndTheMany facilitating learning by sharing experiences and creating interactive sessions. Engaging with students to enhance their skills and knowledge through dynamic teaching methods.