Software Engineer III, AI/ML GenAI

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience programming in Python or C++.
• 1 year 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.

• 1 year of experience with end-to-end Machine Learning infrastructure (e.g.,

model deployment, model evaluation, optimization, data processing,

debugging).

PREFERRED QUALIFICATIONS:

• PhD in computer science or related field.
• Experience working across PAs, in particular with Research, DeepMind and

Search

• Experience with Google infrastructure such as Flume and Compute

Infrastructure.

• Specialization in machine learning (NLP or CV) with a relevant publication

record.

• Strong analytic abilities for data analysis.
• Applied ML skills (LLMs, NLP), experience with jax/pytorch, python, and

building/launching ML models.

ABOUT THE JOB:

Google's software engineers develop the next-generation technologies that change

how billions of users connect, explore, and interact with information and one

another. Our products need to handle information at massive scale, and extend

well beyond web search. We're looking for engineers who bring fresh ideas from

all areas, including information retrieval, distributed computing, large-scale

system design, networking and data storage, security, artificial intelligence,

natural language processing, UI design and mobile; the list goes on and is

growing every day. As a software engineer, you will work on a specific project

critical to Google’s needs with opportunities to switch teams and projects as

you and our fast-paced business grow and evolve. We need our engineers to be

versatile, display leadership qualities and be enthusiastic to take on new

problems across the full-stack as we continue to push technology forward.

Google Research addresses challenges that define the technology of today and

tomorrow. From conducting fundamental research to influencing product

development, our research teams have the opportunity to impact technology used

by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our

approach is sharing our research and tools to fuel progress in the field -- we

publish regularly in academic journals, release projects as open source, and

apply research to Google products.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• Build large-scale multimodal models of human attention and behavior using

novel interaction signals, machine learning (ML), data analysis, natural

language processing (NLP), and computer vision.

• Develop and evaluate ML models on large-scale user logs to predict behavior,

and build the infrastructure for model training and serving.

• Run statistical analysis to find insights and publish research papers that

contribute to ML, NLP, and computer vision.

• Share results with the partner Product Area (PAs) to drive design and launch

decisions. Work closely with them to fold models into products like Gemini

and Search and make quality measurably better.

• Lead research projects independently, adapt to new information, and

communicate findings within a collaborative team.