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us: Research Engineer - Machine Learning Efficiency

             
Apr
24
Netflix; Los Gatos, California, United States
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 would have proven expertise in efficiency optimizations using techniques such as quantization, model pruning, ...      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 problem-solving skills with knowledge of statistical methods; Strong software development experien...

us: Machine Learning Engineer, Algorithms Engineering

             
Apr
24
Netflix; Los Gatos, California, United States
In this role, you will contribute to building, implementing, and scaling the next generation of personalization algorithms using techniques such as causal inference, machine learning, reinforcement learning, and econometrics. You will work with a team of experts in these techniques to understand how...      A burning desire to solve real-world problems at scale by applying Machine Learning; PhD or Masters in Computer Science, Statistics, or any of the related fields; Experience with large-scale, real-world machine-learning applications; Experience in machine learning, causal inference, reinforcement le...

us: Research Scientist - Machine Learning and Inference Research

             
Apr
22
Netflix; Los Gatos, California, United States
The Machine Learning and Inference Research team is a dedicated research team designed to build up Netflix’s technical capabilities by diving deep and exploring research questions aligned with the biggest challenges at Netflix while partnering with teams across the business to bring these capabili...      Ph.D. in a relevant area, with multiple years of post-Ph.D. experience in industry and/or academia; Experience in applying research (preferably yours) to transform real business problems in collaboration with engineering and business teams; Ample research experience, in industry and/or academia, inc...

us: Machine Learning Engineer - Infrastructure Algorithms and ML

             
Apr
20
Netflix; United States
Partner closely with Infrastructure Machine Learning Engineers to build systems designed to improve our extensive infrastructure; Help Infrastructure Machine Learning Engineers maintain and support existing systems; Use your experience supporting existing systems to inform how we can improve support...      A strong coder with experience in Python and standard ML frameworks like PyTorch and TensorFlow. Experience with languages like Java or C++ is a plus; Some experience in implementing and productionizing models in large scale industrial settings is a plus; Familiarity with optimization models with st...

us: Machine Learning Scientist - Content & Media ML Foundations

             
Apr
19
Netflix; United States
Build ML models that push state-of-the-art either using Netflix’s unique multimodal dataset or algorithmic innovations or both; Design and implement state-of-the-art machine learning models for visual, audio and textual data to enhance content understanding and improve content production and promo...      You have a strong foundation in machine learning and deep learning, including embedding methods, supervised and unsupervised learning, and deep learning architectures; Advanced degree (MS or PhD) in Computer Science, Electrical Engineering, or a related technical field with a focus on machine learni...

us: Data Scientist - Ads

             
Apr
18
Netflix; Los Gatos, California, United States
Apply modeling and machine learning techniques to business problems at the intersection of product and data science; Autonomously identify and pursue research with significant business impact, and make compelling cases for prioritization and resource allocation; Proactively perform data exploration ...      Experience building and leading hybrid Data Science and MLE teams in the Ads space; Capacity and passion to translate business objectives into actionable analyses, and analytic results into business and product recommendations
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