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Responsibilities
Design, build and optimize ML pipelines for document understanding & extraction, and insights generation.
Develop and deploy large-scale ML models efficiently using Netflix’s ML infrastructure.
Optimize model performance and inference efficiency, ensuring scalability in high-throughput distributed environments.
Automate ML workflows for training, tuning and deployment, enabling faster experimentation and productization.
Collaborate with ML scientists and engineers to integrate language and vision models and embeddings into downstream applications, including chat interfaces, internal applications and other ML models.
Improve ML observability, model evaluations, model monitoring, and debugging tools to ensure reliability of deployed models.
Stay up to date with ML infrastructure advancements, identifying new technologies and best practices to enhance efficiency.
About You
You have a strong foundation in machine learning and deep learning, including embedding methods, supervised and unsupervised learning, deep learning architectures, and model evaluation
You have prior experience in language model embeddings, fine-tuning pipelines and frameworks around language models.
You have a track record of deploying ML systems at scale, particularly in high-performance inference and distributed training environments.
You have hands-on experience with training large generative models across multiple modalities (text, images, videos).
You have a strong understanding of feature engineering, data pipelines, and model lifecycle management.
You hold an 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 have at least 5 years of relevant industry experience operationalizing ML models, particularly in the areas of natural language processing and machine learning.
You are proficient in Python and have experience with ML/DL frameworks such as PyTorch, or Jax.
You excel at complex problem solving with innovative solutions, developing novel algorithms, and adapting existing methods from literature to new challenges.
You are an excellent communicator, capable of explaining complex technical details to both technical and non-technical audiences.
You thrive in fast-paced dynamic environments with ambiguity, contributing positively to team collaboration and company culture.
$150,000 - $750,000
Job is open for no less than 7 days and will be removed when the position is filled.
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