Netflix is looking for an experienced ML scientist to develop ML solutions that enable self-service of analytics of both structured and unstructured data within Studio Production.
Requirements
- You have a strong foundation in machine learning and deep learning, including embedding methods, supervised and unsupervised learning, and deep learning architectures.
- Strong programming skills in Python and experience with ML/DL frameworks such as Tensorflow, Keras or PyTorch.
- Prior experience fine-tuning open-source foundational LLMs and frameworks around it.
- 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.
Responsibilities
- Build ML models that push state-of-the-art either using Netflix’s unique dataset or algorithmic innovations or both.
- Build fine-tuning for language models and embeddings for Netflix’s unique internal use cases.
- Scale and automate the benchmarking process that evaluates the objective performance of the product that meets various stakeholder’s business needs/
- Enhance and expand fine-tuning pipelines, developing workflows that incorporate user feedback into "learning" systems.
- Evaluate foundational models and develop a framework for their adoption across the organization.
- Collaborate with cross-functional teams, including product managers, engineers and data scientists, to define problem statements, define roadmaps and execute on priorities.
- Communicate complex concepts and the results of analyses with both technical and non-technical stakeholders to influence strategic decisions.
Other
- 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.
- You are an excellent communicator, capable of explaining complex technical details to both technical and non-technical audiences.
- You are collaborative and thrive in fast-paced dynamic environments, contributing positively to the team and company culture.
- 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.
- Engage with the ML community, internal and external, to learn, to teach, to contribute to building a great Netflix brand in ML.
