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Job Description

  • Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.
  • Design, build, and productionize sophisticated machine learning models to understand user intent and advertiser objectives. Your work will form the core intelligence of our next-generation, AI-driven ad systems.
  • Collaborate closely with Research Scientists and Product teams to translate novel concepts in LLMs, RL, and agentic systems from initial prototypes into scalable, production-ready solutions.
  • Take ownership of the end-to-end ML lifecycle to develop and launch new advertising products. Translate into features with significant business impact and shape the future of Google's monetization.
  • Contribute to the scientific community with opportunities to co-author publications for academic conferences (e.g., NeurIPS, ICML), showcasing your innovative work and its impact.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages.
  • 2 years of experience in large language model (LLM) modeling, including pre-training or fine-tuning.
  • 2 years of experience with Generative AI technologies, and launching features.

Preferred qualifications:

  • PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
  • 5 years of experience with data structures and algorithms.
  • Experience driving end-to-end production launches for machine learning features in high-traffic, latency-critical systems.
  • Experience with Reinforcement Learning (RL) or agentic systems.
  • Demonstrated publication record at academic conferences (e.g., NeurIPS, ICML, ICLR).
  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages.
  • 2 years of experience in large language model (LLM) modeling, including pre-training or fine-tuning.
  • 2 years of experience with Generative AI technologies, and launching features.
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  • Role Senior Software Engineer, AI/ML, Google Research
  • Experience 5-7 years
  • Education Any
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview

Approx. salary range

177K – 275K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 37 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
1 week ago
Job Type
Full Time
Education
Any
Experience
5-7 years

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