1 day ago

Software Engineer, Generative AI

Google DeepMind

On Site
Full Time
$171,500
Buffalo-Niagara Falls Area

Job Overview

Job TitleSoftware Engineer, Generative AI
Job TypeFull Time
Offered Salary$171,500
LocationBuffalo-Niagara Falls Area

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Job Description

The Role

You will join a diverse team of experts passionate about pushing the boundaries of AI. This role offers invaluable experience on a high-impact project with significant implications for the future of AI, while contributing to a culture that champions velocity and user-centric design.

As a key contributor to the Gemini Data Tooling team, you will build critical tools that accelerate ML researchers in developing and releasing new models with ever-advancing capabilities!

Key responsibilities

  • Designing and Developing Core Tooling: Lead the design and development of essential data tools for Gemini model training. This involves overseeing the complete data lifecycle, from data collection and curation to release tooling, distillation, and analysis.
  • Collaborating and Translating User Needs: Work closely with researchers and engineers to understand their needs and translate them into effective, user-centric solutions.
  • Driving Developer Experience (DevEx): Leverage strong UX intuition to create tooling with exceptional developer experience.
  • Mentoring and Guiding: Provide technical guidance and mentorship to other team members in tooling development.
  • Delivering End-to-End Solutions: Develop comprehensive, end-to-end solutions primarily in Python.
  • Navigating Dynamic Environments: Thrive in a dynamic environment, adapting to evolving challenges and priorities in large language model (LLM) development.

Key skills/competency

  • Python
  • Machine Learning
  • Data Tooling
  • LLM Development
  • Data Curation
  • Developer Experience
  • UX Intuition
  • Software Engineering
  • Model Training
  • Technical Mentorship

Tags:

Software Engineer
Generative AI
Data Tooling
ML Model Development
Data Lifecycle Management
User Needs Translation
Developer Experience
Technical Mentorship
Python Development
LLM Development
Data Analysis
Solution Delivery
Python
Machine Learning
Generative AI
Large Language Models
Data Pipelines
UI/UX
Cloud Platforms
Software Development Kits
APIs
Data Science Tools

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How to Get Hired at Google DeepMind

  • Research Google DeepMind's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Customize your resume to highlight experience in Generative AI, Python, ML tooling, and data lifecycle management for Google DeepMind's Software Engineer, Generative AI role.
  • Showcase relevant projects: Prepare to discuss specific projects demonstrating your expertise in LLM development, data curation, and building user-centric tools.
  • Practice technical interviews: Sharpen your coding skills in Python and deep understanding of machine learning principles and data structures relevant to AI tooling.
  • Emphasize collaboration and DevEx: Highlight your ability to work cross-functionally and your passion for creating excellent developer experiences during behavioral interviews.

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