Top Software Engineer Jobs in San Francisco, CA
The role involves designing and building scalable, fault-tolerant distributed machine learning systems, optimizing distributed processing frameworks, collaborating with teams to integrate ML systems, and implementing monitoring systems for performance and health.
The Partner Solutions Architect will lead technical discussions with CircleCI's partners, focusing on CI/CD and DevOps practices. Responsibilities include collaborating with AWS teams to identify clients' needs, advocate for CircleCI solutions, and support channel sales by providing technical insights and strategic planning for software delivery processes.
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The Principal Solutions Engineer will leverage technical expertise to drive sales growth by delivering proposals, conducting product evaluations, and advising on system integrations, while also coordinating with various internal teams. They will maintain sales activities within the CRM and keep abreast of industry trends and customer needs.
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As a Senior Software Engineer in Test at Lightship, you will design and implement automated test infrastructure for embedded software and hardware, focusing on propulsion systems. Your role involves developing a deep understanding of system functionalities, collaborating with cross-functional teams, authoring test plans, and documenting bugs to ensure high-quality embedded systems.
As a Lead Data Engineer at Stellic, you will design scalable architectures, build data pipelines, mentor teams, and drive alignment on engineering priorities while ensuring high-quality implementations.
As a Machine Learning Scientist, you will drive research in generative modeling technologies for biomolecular design, develop deep learning methods for protein prediction, curate datasets, and collaborate with biology teams. The role requires implementing and analyzing computational approaches and shaping the scientific vision of the company.
As a Senior Software Engineer, you will collaborate with scientists to develop algorithms and software solutions for extracting and quantifying biological data from innovative imaging hardware. You will manage multiple projects, ensuring alignment with company goals and industry best practices.
As a Senior Machine Learning Engineer at Radiant Security, you will design and develop scalable ML solutions for SaaS applications. You will collaborate with data scientists, manage ML lifecycle, ensure efficient model serving, and maintain data integrity, while keeping up with the latest technologies to enhance outcomes.
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As an AI Quantitative Strategist at WorldQuant, you will develop and implement AI/ML models for trading optimization and investment strategies. You will work collaboratively on innovative projects while leveraging state-of-the-art data and systems. The role emphasizes building infrastructure for AI and involves explaining model business value to stakeholders.
The role involves leading frontend efforts, improving code quality, mentoring engineers, making architectural decisions, and tracking engineering initiatives. You'll gather feedback, set standards, and promote automated testing within the growing engineering team.
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