Senior ML Software Engineer, GeminiApp Strategic User Segments jobs in United States
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Google DeepMind · 17 hours ago

Senior ML Software Engineer, GeminiApp Strategic User Segments

Google DeepMind is a leader in advancing artificial intelligence for public benefit and scientific discovery. The Strategic User Segments team is seeking a Senior ML Software Engineer to build full-stack integrations for the GeminiApp platform, focusing on innovative features tailored for specific user workflows.

Artificial Intelligence (AI)Business DevelopmentFoundational AIMachine Learning
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Growth Opportunities

Responsibilities

Demonstrate technical leadership in building innovative features for the target users
Lead the full-stack implementation, from front-end, back-end, to the model, to deliver high quality products
Collaborate with researchers to understand cutting-edge innovation in generative AI, and apply it to the app
Conduct in-depth data analysis to identify headroom for the feature, and develop a strategy to design and implement solutions to improve the quality
Collaborate with partner teams to enable Gemini features in all languages

Qualification

Full-stack developmentProgramming languagesLarge language modelsData structures/algorithmsData analysisProblem-solvingCommunicationTeamwork

Required

Bachelors or Masters degree in computer science or related technical field
10+ years of experience with software development in one or more programming languages, and with data structures/algorithms
5+ experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, Angular, HTML, CSS, etc
Hands-on experience with prompt engineering and post-training techniques for large language models, including data pipeline and evaluation methodologies
Excellent problem-solving and analytical skills
Strong communication and teamwork abilities

Preferred

Proven experience in mobile software development
Interest in LLMs and adapting AI technologies for different user groups
Ability to thrive and prioritize effectively in a fast-paced, dynamic environment with multiple stakeholders
Prior experience working with product teams

Benefits

Bonus
Equity
Benefits

Company

Google DeepMind

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Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google.

Funding

Current Stage
Late Stage
Total Funding
unknown
2014-01-26Acquired
2011-02-01Series A

Leadership Team

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Demis Hassabis
Co-Founder & CEO
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Aaron Saunders
VP of Hardware Engineering, Robotics
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Company data provided by crunchbase