Machine Learning Jobs in San Jose, CA

Architect and develop software for FPGA compiler tools, focusing on optimization algorithms for routing and retiming in Quartus software. Collaborate on cross-functional projects using innovative FPGA features.

Support the development of AI capabilities in robotics by researching ML models, collaborating with teams, and conducting experiments.

The Search Lead Product Manager will enhance the search experience using AI and semantic technology, focusing on data systems, experimentation, and cross-functional collaboration.

Develop end-to-end software agents as collaborative AI teammates to empower engineering teams in solving complex challenges.

Contribute to developing vision-language models by engaging in data processing, model architecture design, and training methodologies while collaborating with the Vision Team.

This role involves driving the go-to-market strategy for AI security solutions, engaging with customers to present technical and strategic insights, and building relationships with stakeholders while ensuring effective collaboration with cross-functional teams.

Lead a team of software engineers, defining technical strategy for AI components in the backup system and overseeing their development and integration with safety mechanisms.

Lead the development of ML-driven optimization systems for Netflix's Growth & Commerce team, utilizing data and experimentation to drive member conversion.

Lead the Content Personalization Algorithms Engineering team, develop algorithms for recommending diverse content, and enhance personalization strategies.

As a Product Manager for TV Platform and Device technologies, you will develop software product roadmaps, engage with partners, and oversee project management to enhance Netflix experiences on SmartTVs and streaming devices.

Lead a diverse team in data science and analytics, optimizing the Netflix streaming product by scaling analytics and applying methodologies for business impact.

The Product Manager will drive innovation in the Advertising Creatives platform, managing workflows, leveraging machine learning, and collaborating with cross-functional teams.

Data Scientist will leverage machine learning and analytic tools to enhance ad systems, drive business strategies, and lead research initiatives.

The Product Designer will create AI-driven user experiences for government partnerships, ensuring compliance and usability in regulated environments through collaboration and design prototyping.

The ML Infrastructure Engineer will build and optimize scalable ML platforms, improve performance and efficiency of models, mentor junior engineers, and contribute to a mission-driven team focused on renewable energy.

The Research Scientist will design algorithms and train large models for robotics, collaborating on innovative research and advancing AI capabilities.

As a Solutions Architect at CoreWeave, you will lead technical engagements with customers, build tailored solutions, and collaborate with engineering to enhance products in AI and cloud infrastructure.

Lead the design and advancement of AI platform infrastructure, focusing on distributed training, efficiency, and optimization of ML models. Collaborate with teams and guide architectural decisions.

The Senior ML/AI Software Engineer will build analysis algorithms and maintain evaluation dashboards for GM's autonomy stack performance, leveraging large datasets and statistical methods.

The role involves designing machine learning models for an advertising platform, improving ad efficiency, mentoring junior developers, and collaborating with teams.

The role involves developing software tools for semiconductor compilers, creating an ecosystem for efficient IP generation, and requires knowledge in circuit design and programming.

The role involves building scalable ML infrastructure for LLMs, collaborating with teams to optimize workflows, and implementing best practices in machine learning.

As a Research Scientist, you will innovate safe AI agents using machine learning, collaborating on projects, and integrating solutions into prototypes.

Lead product strategy and execution at Findem, focusing on delivering insights and coordinating with cross-functional teams. Own the product development process and drive innovation while aligning with market needs.

The role involves designing and scaling ML systems for prediction and recommendation, mentoring junior engineers, and leading projects.