Machine Learning Jobs in Glendale, CA

The Senior Technical Product Manager leads teams to develop data products, drives project delivery, defines product vision and strategy for data enablement, and collaborates with engineering and game teams to enhance player experience.

Manage the validation team activities related to structural testing, ensuring compliance with safety standards, and managing budgets. Oversee the training, quality, data analysis, and stakeholder communication to improve manufacturing processes.

Manage software engineering teams by optimizing workflows, setting technical standards, mentoring engineers, and ensuring high-quality deliverables. Foster a culture of collaboration and continuous improvement while aligning technical efforts with business objectives.

The Senior Data Scientist will develop production-level machine learning models, work on recommendations and search using NLP, and contribute to high-performance code. They will collaborate with a team to solve challenges and enhance solutions.

The AI/ML Platform Engineer will design and scale AI and ML infrastructure, collaborating with teams to deploy machine learning models and enhance user experience across Whatnot's marketplace.

The NDT Specialist will lead in Non-Destructive Testing, design inspection procedures, analyze data, and liaise with customers and regulatory bodies.

The Machine Learning Engineer will build and deploy ML systems, collaborate with teams, and optimize recommendation models to enhance user experiences.

The Product Reliability Engineer will ensure product quality and reliability through process improvements, inspection optimization, and cross-functional collaboration while managing quality documentation and customer engagement.

The Director, Communications & Marketing will lead brand identity and communication strategies, enhancing brand presence, managing media relations, and overseeing a team focused on cohesive messaging and engagement in high-tech sectors.

The Machine Learning Architect will design and implement ML solutions on cloud platforms, working directly with customers to align strategies with business goals. Responsibilities include end-to-end project management, model deployment, and maintaining strong customer relationships.

The Research Scientist will conduct applied research in computer graphics and machine learning, focusing on photorealistic image synthesis and advanced algorithms for dynamic scene capture and reconstruction.

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.

As a Pricing Manager, you will develop and refine pricing strategies for AI-driven security products, leverage predictive analytics, and drive operational excellence through automation, all while collaborating with cross-functional teams.

The AI Product Manager will define product strategy, lead development, conduct market research, and oversee product lifecycle for AI-powered solutions.

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.

The Field Application Engineer provides technical support and solutions for electronic and automation products, collaborates with sales teams, and ensures customer satisfaction while driving business growth.

The Product Manager for Acquisition will shape the strategy for user acquisition and retention, optimizing multiple product touchpoints for growth and engagement.

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.

The intern will research and implement ML models, deploy optimized image and 3D generation models, and evaluate performance while collaborating with the R&D team.

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