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Top Tech Jobs & Startup Jobs in San Francisco, CA

2 Days Ago
San Francisco, CA, USA
Senior level
Senior level
eCommerce
The Senior Engineering Manager will lead the ML Data Shop team to develop a data labeling platform, effectively manage a team of engineers, and drive solutions using deep learning for large-scale robotics challenges while collaborating across departments at Cruise.
Top Skills: Deep LearningMachine Learning
2 Days Ago
San Francisco, CA, USA
Entry level
Entry level
eCommerce
The Sr Media Collaboration Services Technician will troubleshoot and support A/V systems across multiple sites, collaborate with IT and business partners for scalable A/V solutions, and provide technical support while maintaining excellent customer service. Responsibilities also include documentation of issues and timely resolution of problems in collaboration with various teams.
Top Skills: Audio/Visual
2 Days Ago
San Francisco, CA, USA
Senior level
Senior level
eCommerce
As a Senior Manager of Product Management at Cruise, you will lead a team of product managers to develop and execute strategies for consumer experiences. You will collaborate with design and engineering teams, analyze market trends, and drive product initiatives from ideation to launch, ensuring high-quality outcomes.
2 Days Ago
San Francisco, CA, USA
Senior level
Senior level
eCommerce
As a Senior ML Engineer II at Cruise, you'll develop machine learning optimization algorithms and large scale model optimization infrastructure for self-driving vehicles. Your role includes bringing state-of-the-art workflows to Cruise, integrating open source libraries into model development, and building scalable training and deployment infrastructure.
Top Skills: C++PythonPyTorch
Senior level
eCommerce
The Senior Product Manager will lead the product vision, strategy, and roadmaps for key Infrastructure initiatives at Cruise. This role involves working cross-functionally to enhance developer productivity and experience, while ensuring reliability and scalability of autonomous technology products.
2 Days Ago
San Francisco, CA, USA
Senior level
Senior level
eCommerce
The Senior Machine Learning Engineer II at Cruise will design and implement infrastructure within the AI Robotics team, optimizing development processes and driving the performance of machine learning models for autonomous vehicle systems. Responsibilities include exploring new algorithms, building training frameworks, ensuring scalability, and leading technical projects.
Top Skills: Data MiningMachine Learning
2 Days Ago
San Francisco, CA, USA
Senior level
Senior level
eCommerce
The Senior Staff Machine Learning Engineer at Cruise will research, prototype, and refine machine learning algorithms for autonomous vehicles. This role involves optimizing models for urban driving, collaborating with partners in perception and controls, and enabling technical leadership within the team to ensure high-quality product offerings.
Top Skills: C++Python
2 Days Ago
San Francisco, CA, USA
Senior level
Senior level
eCommerce
As a Staff Software Engineer on the ML Data Platform team, you'll develop and optimize a petabyte-scale data processing platform using Beam and Spark. Your role includes building tools for data ingestion and processing, owning projects from start to finish, managing cross-team collaborations, and mentoring junior engineers.
Top Skills: BeamSpark
2 Days Ago
San Francisco, CA, USA
Senior level
Senior level
eCommerce
You will build and support a petabyte-scale data platform for Cruise’s ML Data Platform. Responsibilities include developing robust data management tools, optimizing data processing, ensuring reliable data ingestion, and leading cross-team technical projects. You will also mentor junior engineers and assist in recruitment.
Top Skills: BeamSpark
2 Days Ago
San Francisco, CA, USA
Entry level
Entry level
eCommerce
As a Talent Management Program Manager, you will lead the lifecycle of talent management programs, collaborate with the People team to fulfill process design requirements, drive impactful action plans, oversee performance management processes, monitor talent management metrics, and manage change related to talent management initiatives.
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