Colab Jobs in California (NOW HIRING)

info_outline
X Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Chicago, IL, USA; Irvine, CA, USA; New York, NY, USA.
Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience coding in Python and SQL.
• 5 years of experience working with machine learning operations (MLOps) and large language model operations (LLMOps) principles and data infrastructure, including deploying text processing and embedding pipelines.
• 5 years of experience designing and deploying data pipelines, including managing data schemas and processing unstructured text data for machine learning (ML) workflows.

Preferred qualifications:

• Experience with data schemas.
• Experience with google colaboratory (Colab), TensorFlow, Tensor Processing Units (TPUs), and agentic tools and platforms for processing unstructured text data.
• Experience with LLM orchestration and agentic infrastructure.
• Proficiency in SQL and Python.
• Understanding of MLOps/LLMOps principles to ensure the scalable and reliable deployment of text processing and embedding pipelines.

About the job
gTech's Product and Tools Operations team (gPTO) leverages deep user, operational, and technical insights to innovate Google's Ads products into customer experiences that are so intuitive (or automated) that they require no support at all. gPTO partners closely with gTech's Support, Professional Services, Product Management, and Engineering teams to innovate and simplify our Ads products and build the productivity tools ecosystem for gTech users.
As a part of the Go-to-Market (GTM), you will serve as the intelligence partner for product teams, transforming massive volumes of unstructured conversational data into quantified, trusted insights that bridge the gap between customer feedback and product decisions, as this is a high-visibility initiative critical for accelerating the Ads product adoption flywheel and shaping Go-to-Market (GTM) strategy for priority products.
As a Senior Data Engineer, you will own and architect the foundational infrastructure that transforms unstructured customer feedback into quantified strategic assets. You will help us move towards scalable, automated pipelines that integrate sales transcripts with critical Business Intelligence (BI). You will pioneer our transition towards more flexible workflows, developing the core infrastructure and platforms that multiply our data science team's capacity, agility, and impact through end-to-end delivery of production-ready solutions.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $156000 - $227000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities

• Design and maintain pipelines to ingest, clean, and process massive volumes of unstructured data, including business transcripts and support cases, into reliable investigative datasets.
• Architect and deploy advanced platforms and tooling that empower the team to leverage autonomous AI agents and Large Language Models (LLMs) for intelligent routing and automated insights.
• Develop internal libraries and self-serve frameworks that streamline Natural Language Processing (NLP) and causal analysis, significantly reducing operational friction and enhancing team productivity.
• Manage and optimize embedding workflows using TensorFlow and Tensor Processing Units (TPUs), ensuring efficient processing that bypasses standard API constraints for high-volume data.
• Implement automated monitoring, alerting, and rigorous data quality checks to guarantee the security, reliability, and governance of high-stakes investigative assets.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
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 .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
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.