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Senior Software Engineer, AI/ML, Quality, Applied AI jobs in United States
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Google · 7 hours ago

Senior Software Engineer, AI/ML, Quality, Applied AI

Google is a leading technology company known for developing next-generation technologies that transform user interaction with information. The role involves working on an AI-powered customer service solution to enhance productivity and customer satisfaction while utilizing advanced AI techniques.
AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Design and iteratively refine high-quality prompts to ensure accurate, context-aware responses within customer support environments
Apply techniques to efficiently customize base models for specific enterprise use cases and industry nuances
Develop Large Language Model (LLM) powered auto-evaluation methodologies to rigorously measure model quality, relevance, and safety at scale
Utilize frameworks like ADK for rapid feature exploration while optimizing infrastructure for low-latency inference and model-serving pipelines
Partner cross-functionally with PM, CE, and PSO teams to lead enterprise customer onboarding and translate direct feedback into product improvements

Qualification

PythonML infrastructureNatural Language ProcessingSpeech/audio technologyLLM tuning methodologiesCloud platformsSoftware designSoft skills

Required

Bachelor's degree or equivalent practical experience
5 years of experience with software development in Python
3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field
3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging)
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture

Preferred

Master's degree or PhD in Computer Science or related technical field
Experience with LLM tuning methodologies (e.g., LoRA, fine tuning)
Experience in developing and deploying models/solutions on cloud platforms (e.g., Google Cloud)
Experience in Natural Language Processing (NLP) with a focus on conversational AI or text generation
Experience in Prompt Engineering, building or utilizing LLM-powered auto-evaluation and optimization systems

Benefits

Bonus
Equity
Benefits

Company

Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.

H1B Sponsorship

Google has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8763)
2024 (8872)
2023 (9682)
2022 (11626)
2021 (9109)
2020 (9785)

Funding

Current Stage
Public Company
Total Funding
$26.1M
Key Investors
Kleiner Perkins,Sequoia CapitalAndy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M

Leadership Team

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Sundar Pichai
CEO
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Thomas Kurian
CEO - Google Cloud
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Company data provided by crunchbase