Software Engineer III, Research, AI​/ML

Applicants in San Francisco:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US‑based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
• Maternity Leave (Short‑Term Disability + Baby Bonding): 28‑30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Mountain View, CA, USA;
Kirkland, WA, USA;
Seattle, WA, USA;
San Francisco, CA, USA
.

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• Experience in Machine Learning (ML) research and Artificial Intelligence (AI) algorithms.
• Experience with research publications.

• Master’s degree or PhD in Computer Science or a related technical field.
• Experience in Natural Language Processing (NLP) or Computer Vision (CV), specifically with LLMs, transformer architectures, information retrieval, or knowledge grounding.
• Experience designing and implementing large‑scale machine learning systems in a production environment.
• Experience with deep learning frameworks like Tensor Flow, PyTorch, or JAX, and Python or C++.
• Experience with publications in AI/ML conferences such as NeurIPS, ICML, ICLR, ACL, CVPR, etc.
• Excellent software engineering skills.

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.

The US base salary range for this full‑time position is $141,000‑$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity or benefits. Learn more about benefits at Google.

• Conduct research on Large Language Models (LLMs) with a focus on…