Research Engineer, Live Experiment Analysis

Google LLC; Mountain View (CA); Vor Ort; USD 207.000 - 300.000; Vollzeit

Zusammenfassung

Google LLC is seeking a Research Engineer for Live Experiment Analysis in Mountain View, CA. The role centers on designing large-scale experiments, evaluating AI systems, and delivering insights from user feedback and data analysis.

You will work at the intersection of research and engineering, deploying ideas quickly, and collaborating with internal programs and external partners to advance AI development and product quality.

Qualifikationen

• Bachelor's degree in CS, EE, Math, Statistics or related field, or equivalent practical experience.
• Experience with machine learning.
• Experience in software engineering.
• Experience in Python programming.
• Experience in data analysis and related tools and processes.

Aufgaben

• Work cross-functionally on data collection, management, quality measurement and improvements.
• Improve end-to-end evaluations by incorporating user and product feedback, and providing continuous production evaluation/verification for model releases.
• Provide user feedback analysis and insights to improve our frontier models and the user experiences.
• Solve complex, high-impact research and engineering challenges where the solution is non-obvious to executive leaders.

Kenntnisse

Machine learning

Software engineering

Python programming

Data analysis

Ausbildung

Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or related field

Equivalent practical experience

Tools

Colab

Jobbeschreibung

Research Engineer, Live Experiment Analysis

Share Research Engineer, Live Experiment Analysis

corporate_fare Google place Mountain View, CA, USA

• Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, a related technical field, or equivalent practical experience.
• Experience with machine learning.
• Experience in software engineering.
• Experience in Python programming.
• Experience in data analysis and related tools and processes.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, a technical related field, or equivalent practical experience.
• Extensive experiences on evaluations and user feedback analysis.
• Experience using internal/standard data analysis platforms and interactive notebooks (e.g., Colab).
• Strong quantitative and engineering skills and proven knowledge and experience working on large scale data analysis, autorater development, and human-in-the-loop quality improvements.
• Savvy users of LLM products (e.g., Gemini, etc.) who is familiar with standard LLM evaluation and testing methodologies.

About the job

At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google .

• Work cross-functionally on data collection, management, quality measurement and improvements.
• Improve end-to-end evaluations by incorporating user and product feedback, and providing continuous production evaluation/verification for model releases.
• Provide user feedback analysis and insights to improve our frontier models and the user experiences.
• Solve complex, high-impact research and engineering challenges where the solution is non-obvious to executive leaders.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.