Netflix is one of the worlds leading entertainment services, with over 300 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.Studio Production within Data Science and Engineering is responsible for developing and deploying analytics and machine learning tools and models that inform, support, and automate decision-making in the Netflix Studio. We collaborate closely with business and product partners in Content Finance and FP&amp;A to identify high-impact opportunities for data to enhance processes like cash forecasting, budget creation, and production planning.We are looking for an experienced ML scientist to develop,  ML solutions that enable self-service of analytics of both structured and unstructured data.Responsibilities<ul><li>Build ML models that push state-of-the-art either using Netflix’s unique dataset or algorithmic innovations or both.</li><li>Build fine-tuning for language models and embeddings for Netflix’s unique internal use </li><li>cases.</li><li>Scale and automate the benchmarking process that evaluates the objective performance of the product that meets various stakeholder’s business needs/</li><li>Enhance and expand fine-tuning pipelines, developing workflows that incorporate user feedback into learning systems.</li><li>Evaluate foundational models and develop a framework for their adoption across the organization.</li><li>Collaborate with cross-functional teams, including product managers, engineers and data scientists, to define problem statements, define roadmaps and execute on priorities. </li><li>Communicate complex concepts and the results of analyses with both technical and non-technical stakeholders to influence strategic decisions.</li><li>Stay abreast of the latest developments in the field by attending conferences, reading research papers and implementing promising novel ideas that can impact Studio workflows.</li><li>Engage with the ML community, internal and external, to learn, to teach, to contribute to building a great Netflix brand in ML.</li></ul>About You<ul><li>You have a strong foundation in machine learning and deep learning, including embedding methods, supervised and unsupervised learning, and deep learning architectures.</li><li>Advanced degree (MS or PhD) in Computer Science, Electrical Engineering, or a related technical field with a focus on machine learning, artificial intelligence or computer vision.</li><li>Strong programming skills in Python and experience with ML/DL frameworks such as Tensorflow, Keras or PyTorch.</li><li>Prior experience fine-tuning open-source foundational LLMs and frameworks around it.</li><li>You have a strong track record of solving complex problems with innovative solutions. You are able to both develop novel algorithms and to adapt existing methods from the literature to new challenges.</li><li>You are an excellent communicator, capable of explaining complex technical details to both technical and non-technical audiences.</li><li>You are collaborative and thrive in fast-paced dynamic environments, contributing positively to the team and company culture.</li></ul>Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $150,000 - $750,000.<a href="https://about.netflix.com/en/inclusion" target="_blank">Inclusion</a> is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity 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 7 days and will be removed when the position is filled.