*** is one of the world's leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
The Role
*** is reinventing entertainment from end to end. We are revolutionizing how shows and movies are produced, pushing technological boundaries to efficiently deliver streaming video at massive scale over the internet, and continuously improving the personalization of how entertainment is presented to our more than 270 million members around the globe. Applied Machine Learning Research at *** improves various aspects of our business, including personalization algorithms, search, systems optimization, content valuation, tooling for artists, and streaming video optimization. As such, our research spans many Machine Learning areas, including recommender systems, causal inference, reinforcement learning, computer vision, computer graphics, image and video processing, natural language processing, optimization, operations research and systems. Great applied research also requires great Machine Learning infrastructure, another large area of emphasis at *** . In Fall 2024, *** will be hosting a cohort of of Machine Learning Research interns within a specific set of areas listed below. We are looking for individuals with the following qualifications: Must have:
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Job is open for no less than 20 days and will be removed when the position is filled.
The Role
*** is reinventing entertainment from end to end. We are revolutionizing how shows and movies are produced, pushing technological boundaries to efficiently deliver streaming video at massive scale over the internet, and continuously improving the personalization of how entertainment is presented to our more than 270 million members around the globe. Applied Machine Learning Research at *** improves various aspects of our business, including personalization algorithms, search, systems optimization, content valuation, tooling for artists, and streaming video optimization. As such, our research spans many Machine Learning areas, including recommender systems, causal inference, reinforcement learning, computer vision, computer graphics, image and video processing, natural language processing, optimization, operations research and systems. Great applied research also requires great Machine Learning infrastructure, another large area of emphasis at *** . In Fall 2024, *** will be hosting a cohort of of Machine Learning Research interns within a specific set of areas listed below. We are looking for individuals with the following qualifications: Must have:
- Currently enrolled PhD or MS student in the Machine Learning space, or PhD graduate seeking postdoctoral research.
- Experience with at least one of the following ML areas:
- Personalization & Recommender Systems: using transformers for recommenders, multi-modal recommenders, conversational recommenders
- Natural Language Processing (NLP): Large Language Models (LLMs), fine-tuning, in-context learning, text generation and embedding
- Computer Vision (CV): Image and video processing and generation
- Reinforcement Learning (RL): Preference-based learning, reinforcement learning from human feedback
- Multimodal Data: Handling and integrating text, image, video, and other data
- Model Optimization and Efficiency: Inference efficiency, model benchmarking, optimization techniques.
- Experience programming in at least one programming language (e.g. Python or C/C++).Experience developing ML models using common frameworks (e.g. PyTorch, TensorFlow, Keras) and training on GPUs
- Curious, self-motivated, and excited about solving open-ended challenges at *** .
- Great communication skills, both oral and written.
- Publications in relevant topics in top conferences or journals.
- Comfortable with distributed computing environments such as Spark or Presto.
- Comfortable with software engineering best practices (e.g. version control, testing, code review, etc.)
- You will be sent an Airtable form shortly after you submit your application on our careers site (1-5 business days); your application will not be considered complete until you fill out and submit this form.
- Include a Resume or CV with complete contact information (email, phone, mailing address) and a list of relevant coursework and publications (if applicable).
- In the Airtable form, you will be asked to select exactly one ML area for your potential internship. This will be used to map your application to particular teams & projects.
- You will be asked to include a short (max one page) statement describing your research experiences and interests, and (optionally) their relevance to *** Research. For inspiration, have a look at the *** research site.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Job is open for no less than 20 days and will be removed when the position is filled.
This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.