Senior AI Research Engineer focusing on practical applications of AI technologies for industrial intelligence. Involves building and operationalising AI models in a hybrid work environment.
About the role
- Machine Learning/AI Scientist Intern contributing to various machine learning areas for Netflix's research. Collaborating with teams on algorithms, tools, and optimizations.
Responsibilities
- Machine Learning Research at Netflix improves various aspects of our business, including personalization algorithms, member and title understanding, creative tooling, system optimization, and innovative tooling
- Collaborate with teams across organizations including Content, Choosing & Conversation, Commerce or AI for Member Systems
- Implementing machine learning solutions across various domains, end-to-end ML pipelines, from experimentation to deployment
Requirements
- Currently enrolled student pursuing an advanced degree (PhD) in areas such as Computer Science, Machine Learning, Artificial Intelligence, Computer Engineering, Mathematics, Statistics, Data Science, Economics, Computational Biology, Chemistry, Physics, Cognitive Science or a related field
- Domain expertise in one or more of the following areas: Personalization & Recommender Systems, Natural Language Processing, Reinforcement Learning, Computer Vision, Computer Graphics, Reliable ML, Causal ML, Agentic AI, Multimodal Data, Model Optimization and Efficiency, ML Platform & Infrastructure, General ML Application Engineering
- Experience programming in at least one programming language (Python, Java, Scala, or C/C++)
- Familiarity developing ML models using common frameworks (e.g., PyTorch, TensorFlow, Keras)
- Familiarity with distributed training and inference paradigms and associated frameworks (eg. DDP, FSDP, HSDP, Deepspeed)
- Familiarity with end-to-end machine learning pipelines (e.g. training or production deployment) and common challenges like explainability
- Curious, self-motivated, and excited about solving open-ended challenges at Netflix
Benefits
- Internships are paid
- Flexible working hours
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Lead AI research initiatives at Galileo, focusing on generative AI and machine learning models. Collaborate with cross - functional teams to enhance AI - driven products and tools in an innovative environment.
Staff AI Scientist specializing in machine learning fundamentals at HackerRank. Leading rigorous AI evaluation and dataset construction efforts across teams in a hybrid setting.
Lead Data & AI Scientist delivering innovative AI solutions and insights for Business & Commercial Banking. Responsible for shaping the capability roadmap and mentoring the Data Science & AI team.
Lead Data & AI Scientist at Lloyds Banking Group delivering AI - driven solutions for Banking. Shaping technical roadmaps and mentoring teams in advanced AI practices and deployments.
AI Research Scientist at Lendbuzz developing conversational AI and agentic AI systems. Leading research direction and collaborating with cross - functional teams in a hybrid work environment.
Machine Learning Researcher at Longshot Systems designing and implementing predictive models for sports betting analytics. Involvement in all aspects of R&D from design to implementation.
Lead AI Researcher at Lloyds Banking Group advancing AI transformation through innovative technologies and ethical practices. Collaborates across teams to solve complex financial challenges.
Machine Learning Researcher developing novel AI solutions for impactful products at RBC Borealis. Conducting publishable research and collaborating with development teams to transfer research to production.
Lead AI Scientist at Lloyds Banking Group leading technical delivery of AI solutions. Collaborate with diverse teams to solve financial challenges and create innovative banking solutions.