Machine Learning Jobs in Sunnyvale, CA

The role involves implementing dynamic pricing models, developing ML algorithms, and maintaining infrastructure for pricing analysis and experimentation.

The Software Engineer will build infrastructure for Waymo's autonomous driving, integrating ML models, managing congestion, and developing debugging tools.

The Director of Product Management will lead product strategy for robotics, drive product roadmap execution, and enhance AI integration in robotic systems.

The Research Engineer will develop AI algorithms for autonomous systems, collaborating with teams on end-to-end solutions and data-driven models.

The Technical Lead Manager will own the perception model for autonomous systems, leading a team to architect, train, evaluate, and deploy this model across diverse environments while reducing dependencies on traditional mapping technology.

As the Engineering Director, you will lead teams developing content generation features for the Gemini App, integrating generative AI capabilities, and driving product innovation and daily usage.

Lead and scale Product Marketing for DataVisor's fraud and AML platform: set GTM strategy, positioning, launches, competitive intelligence, enablement, segmentation, metrics, and build a high-performing PMM team while partnering cross-functionally to drive adoption and revenue.

The Senior Solutions Architect will develop and deploy AI infrastructure solutions, work with customers, and drive technical pre-sales activities.

As an Applied AI Engineer at Luminai, you will design experiments, optimize machine learning models, and enhance AI platforms for healthcare automation.

Conduct research in machine learning and AI, focusing on robotics and AGI, while collaborating with teams and reporting findings.

This role involves advancing autonomous vehicle simulations using Generative AI technologies, managing the lifecycle of product innovations, and collaborating in an ML engineering team.

Develop system software components for autonomous vehicles, improve onboard software efficiency, and collaborate on complex engineering problems.

The Staff Algorithm Developer will lead firmware and embedded software development for diagnostic systems, focusing on signal and image processing while collaborating on new product projects.

Develop and optimize embedded applications for signal and image processing, using C and Python, and apply AI/machine learning to enhance algorithms.

The Staff Algorithm Development Engineer develops optimized embedded software for signal processing and image processing, utilizing C and Python, and collaborates on new product initiatives in a regulated medical device environment.

Lead cross-functional finance AI and data projects: translate finance processes into technical solutions, manage stakeholders and requirements, track multiple projects to delivery, understand AI/ML and data architectures, and drive decisions while ensuring projects meet business and technical objectives.

Lead pre-sales efforts for Media & Entertainment customers: present Snowflake to executives and technical audiences, deliver demos and POCs, design solutions, collaborate with product and engineering, and close large deals while maintaining deep industry and competitive knowledge.

The Senior Machine Learning Engineer will lead the development of a GenAI platform, enhance AI infrastructure, mentor junior engineers, and drive project ownership in a startup environment.

As a Software Solutions Architect at NVIDIA, you'll deploy AI solutions, collaborate with technical teams, integrate software, diagnose customer issues, and develop new tools for data science.

Develop and evaluate data science modeling algorithms using sensor data, collaborate with SW engineering on data pipelines, and fine-tune algorithm performance while documenting processes.

Join the Inference team to implement features and improvements for model serving on a GPU platform, focusing on performance and reliability.

As an Applied ML Validation Manager, lead a team to build frameworks for evaluating ML behavior against human driving expectations, working closely with various teams to integrate these outputs into validation processes.

Lead development of scalable ML infrastructure, focusing on compute for simulation, data labeling, and data generation. Collaborate with ML engineers, set technical roadmaps, ensure system reliability, and research advanced computing techniques.

The Senior ML Infrastructure Engineer will design, implement, and optimize computing platforms for simulation workflows, ensuring high reliability and performance. Responsibilities include leading technical decisions, collaborating with ML engineers, and enhancing system efficiency.

The Sr Software Engineer will optimize and deploy ML models on embedded hardware, ensuring performance and reliability, while collaborating with cross-functional teams.