Research Engineer

Found in: Jooble US O C2 - 3 weeks ago

Los Gatos CA, United States Netflix Full time

Netflix is the world's leading internet entertainment service with over 245 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films, and games, across a wide variety of genres and languages. As Netflix continues to grow, we are venturing into exciting new frontiers of personalization and discovery to help our members find the content they’ll enjoy the most.
Fast-paced innovation in the theory and practice of large language models (LLMs) and other foundation models is greatly helping to advance state-of-the-art in personalization and discovery experiences. However, cost-effective and efficient training and serving of the models at Netflix’s scale is a technical challenge. Hence we are looking for an exceptional applied research engineer to help us develop the technology that would enable efficient training and serving of these models.
In this role, you will aid applied research and product development by conceptualizing, designing, and implementing engineering improvements related to large-scale deep neural networks. You have to be deeply knowledgeable in ML hardware and software to be successful in this role. Additionally, you need solid software development skills, a love of learning, a passion for solving problems, a bias to action, and effective collaboration with scientists.
5+ years of software engineering experience with a track record of delivering quality results.
~ Proven expertise in training and serving infrastructure for LLMs and other large foundation models.
~ Strong software development experience in languages such as Python and Java.
~ Familiarity with hardware and software accelerators and GPU-based optimizations
~ Graduate degree in Computer Science, Statistics, or a related field.

Experience in Search, Recommendations, Natural Language Processing, Knowledge Graphs, Conversational Agents, and Personalization.
Experience with Spark or other distributed computed platforms.
Experience with cloud computing platforms and large web-scale distributed systems.
Experience in applied research in industrial settings.
Research publications at peer-reviewed journals and conferences on relevant topics.
Search Personalization at Netflix - PaRiS Workshop - WebConf 2023.
Query Facet Mapping and its Applications in Streaming Services - SIGIR 2022
Netflix's culture is an integral part of what makes us successful, and we approach diversity and inclusion seriously and thoughtfully. We are an equal-opportunity employer and celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Our compensation structure consists solely of an annual salary; You choose each year how much of your compensation you want in salary versus stock options. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off.

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