Machine Learning Jobs in Glendale, CA

The role involves designing, deploying, and scaling machine learning systems for real-time recommendations, impacting user engagement and revenue at scale.

The role involves building and deploying ML models, developing ranking algorithms, optimizing models, and collaborating with product teams to improve user personalization and business outcomes.

The Principal ML Engineer will design ML architecture, solve technical challenges, mentor engineers, and represent the company in the ML community.

The Principal ML Engineer will define ML architecture, solve complex problems, lead initiatives, and mentor engineers while influencing ML strategy company-wide.

The Lead ML Engineer will build and optimize recommendation systems to personalize user experiences, leveraging ML systems for real-time recommendations and measurable business impact.

The Lead ML Engineer will optimize advertising performance by designing and deploying ML systems while enhancing user experience through collaboration across teams.

The Lead Machine Learning Engineer will build personalized recommendation systems, optimizing data pipelines and deploying scalable ML models serving 100M+ predictions daily to enhance user engagement and revenue.

The Lead Machine Learning Engineer will design and develop scalable ML systems to optimize ad performance, enhance user experience, and drive revenue growth by collaborating globally across teams.

The Senior Data Scientist develops and implements machine learning models to enhance business strategies, collaborates with stakeholders, and mentors junior staff.

The Senior Data Scientist develops machine learning models and statistical tools to enhance business strategies, collaborating with stakeholders and mentoring junior team members.

The Staff Software Engineer will architect and implement ML infrastructure, focusing on deployment, monitoring, and lifecycle management of ML models, applying MLOps practices.

Design, build, and optimize ML systems for recommendations at scale. Collaborate with teams on data pipelines, model development, and experimentation.

The role involves designing, building, and optimizing large-scale ML systems for personalized recommendations, focusing on data ingestion, model training, and collaboration with cross-functional teams.

The Machine Learning Engineer will develop and deploy ML models for personalized health programs, optimize recommendation systems, and establish best practices for ML lifecycle management.

Assist in designing, developing, and deploying machine learning models for creating high-quality 3D assets while collaborating with cross-functional teams.

This role involves developing and deploying large language models and generative AI systems, building scalable ML infrastructure, and mentoring junior engineers while collaborating with cross-functional teams.

Interns will design, build, and deploy machine learning models that enhance Netflix's services, collaborating with various teams to translate business needs into ML solutions.

The intern will conduct machine learning research, focusing on personalization, NLP, reinforcement learning, and computer vision while collaborating with various teams to improve Netflix's services.

The Machine Learning Engineer will design and implement ML algorithms for wireless communication, analyze RF datasets, and integrate ML with Silvus' products.

Design and implement machine learning systems, collaborate with teams, write efficient code, and manage end-to-end machine learning solutions.

The role involves collaborating with various teams to design datasets for AI model training, developing frameworks for data processing, and contributing to data management tools, all while applying strong ML and software engineering skills.

Design, research, and implement Generative AI models to enhance investment processes. Collaborate with teams to deliver enterprise-grade solutions and lead projects while solving complex machine learning problems.

Lead the modeling strategy for ML Bots, developing predictive features, designing ML systems, mentoring engineers, and collaborating cross-discipline to enhance player experiences within games.

The Data Engineer will build and scale data systems and machine learning models, collaborate with team members, and enhance data pipelines and quality systems for Netflix's Knowledge Graph.

Lead and mentor the Generative AI team, developing and optimizing machine learning models and solutions for multimodal data processing and document understanding.