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Job Type
Full Time -
Experience
4-6 year -
Salary
$185,000 - $283,000 / Year -
Location
Kirkland, WA, USA -
Job Function
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Industry
Information Technology -
Qualification
Degree in Artificial intelligence- AI
Key Skills
AI technology, Algorithms, Applied Machine Learning, Data structuring, Deep Learning, JAX framework, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), TensorFlow
Job Description
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development and with data structures/algorithms.
- 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.
- Experience as a research lead, research engineer, or other similar role for large language models.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience.
- 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, and/or natural language processing
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
- Experience in research with the modern ML stack (e.g., TF2, Jax, TPUs).
- Experience contributing to research communities/efforts, including publishing papers in machine learning and NLP conferences.
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.
The Domain Solutions Applied ML team’s mission is to provide a well-lit path to accelerate cutting-edge Natural Language Processing (NLP) research to production. We explore State-of-the-Art (SoTA) large language model research, powered with production-grade models and advanced ML techniques, and then flow research innovations to products. We are part of Core ML, which is the center of gravity for Google's ML production and cross-product efforts.
In this role, you will directly engage with other product areas within Alphabet to land SoTA models and techniques with significant quality, performance, and productivity wins. You'll work on the latest LLM technologies that are revolutionizing NLP, foster strong research collaboration with researchers, and publish papers in top ML/NLP venues.
The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
The US base salary range for this full-time position is $185,000-$283,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. 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.
Responsibilities
- Lead multiple efforts to contribute to critical sprints of large language models in Google to bring the cutting edge LLMs to next-gen Google products and applications, as well as our external users.
- Collaborate on modeling techniques to support the full spectrum of LLM tuning, from prompt engineering, instruction tuning, Reinforcement Learning from Human Feedback (RLHF), parameter-efficient tuning, to fine-tuning.
- Improve LLM efficiency, including efficient teacher architectures, fast LLM adaption, etc.
- Strengthen collaboration with stakeholders of LLMs and scope new research and product engagement opportunities.
- Work closely with product teams to accelerate their critical machine learning project launches, with a focus on large language and multi-modal models.
Company Info.
GoogleGoogle LLC is a multinational technology company headquartered in the United States that specializes in various fields, including search engine technology, cloud computing, online advertising, quantum computing, e-commerce, computer software, artificial intelligence, and consumer electronics. With its market dominance, data collection, and technological advancements in AI.
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IndustryE-commerce,Artificial intelligence,Internet services,Cloud computing,Computer software,Advertising,Computer hardware,Consumer electronics
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No. of Employees139,995
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Location1600 Amphitheatre Parkway, Mountain View, CA 94043, USA
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Website
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Jobs Posted
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Google is currently hiring Large Language Models Engineer Jobs in Kirkland, WA, USA with average base salary of $185,000 - $283,000 / Year.
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GoogleBangalore, Karnataka, India; Gurgaon, Haryana, India; Hyderabad, Telangana, India; Mumbai, Maharashtra, India; Pune, Maharashtra, India
10-12 year
Customer Engineer, Data Analytics, Google Cloud
GoogleChicago, IL, USA; Dallas, TX, USA; New York, NY, USA; Reston, VA, USA
6-8 year
Machine Learning Technical Consultant, Google Public Sector
GoogleCambridge, MA, USA; Mountain View, CA, USA; New York, NY, USA; Reston, VA, USA
10-12 year
Partner Technology Manager, Data Analytics and AI
GoogleAustin, TX, USA; New York, NY, USA; Seattle, WA, USA; Sunnyvale, CA, USA
8-10 year
People Analytics Researcher, Hiring Selection and Assessment
GoogleAtlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA
2-4 year
Program Manager, Small/Medium Business, Google Workspace
GoogleAtlanta, GA, USA; Austin, TX, USA; New York, NY, USA; San Francisco, CA, USA
6-8 year
Manager, AI Policy, Government Affairs and Public Policy
GoogleMountain View, CA, USA; San Francisco, CA, USA; Washington D.C., DC, USA
6-8 year
Technical Program Manager III, Conversational AI, Google Cloud
GoogleToronto, ON, Canada; Waterloo, ON, Canada
6-8 year
Technical Program Manager III, Conversational AI, Google Cloud
GoogleNew York, NY, USA; Cambridge, MA, USA
6-8 year
Customer Engineer, AI/ML, Gaming, Google Cloud
GoogleAddison, TX, USA; Austin, TX, USA; New York, NY, USA; San Francisco, CA, USA
2-4 year
Staff Software Engineer, Machine Learning, Google Pixel Watch
GoogleMountain View, CA, USA; San Diego, CA, USA
8-10 year
Marketing Data Scientist
GoogleNew York, NY, USA; San Francisco, CA, USA; Chicago, IL, USA; Ann Arbor, MI, USA
4-6 year
Principal, Generative AI, Trust and Safety
GoogleHyderabad, Telangana, India; Bangalore, Karnataka, India
10-12 year
AI/ML Field Solutions Architect
GoogleBangalore, Karnataka, India; Gurugram, Haryana, India; Mumbai, Maharashtra, India
4-6 year
Image Processing Machine Learning Engineer
GoogleNew Taipei, Banqiao District, New Taipei City, Taiwan
2-4 year
Data Solution Engineer, Google Cloud
GoogleAtlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; New York, NY, USA; San Francisco, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA
4-6 year
AI Engineer, Professional Services, Google Cloud
GoogleAustin, TX, USA; Chicago, IL, USA; Dallas, TX, USA; Kansas City, MO, USA; Los Angeles, CA, USA; New York, NY, USA; Reston, VA, USA; San Francisco, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA
4-6 year
Software Engineer, Early Career, Campus
GoogleCambridge, MA, USA; Durham, NC, USA; Mountain View, CA, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; San Bruno, CA, USA; Seattle, WA, USA
0-2 year
Associate Commercial Counsel, AI Research
GoogleAtlanta, GA, USA; Chicago, IL, USA; Los Angeles, CA, USA; Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA; Seattle, WA, USA; Washington D.C., DC, USA
4-6 year
Sales Engineer, Machine Learning, Google Cloud
GoogleAtlanta, GA, USA; New York, NY, USA; Salt Lake City, UT, USA; San Diego, CA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA; Tennessee, USA
0-2 year
Senior Staff Data Scientist
GoogleLos Angeles, CA, USA; Mountain View, CA, USA; New York, NY, USA; San Diego, CA, USA; Sunnyvale, CA, USA
12-14 year
Software Engineer III, Computer Vision/Infrastructure, AR
GoogleLos Angeles, CA, USA; Mountain View, CA, USA; New York, NY, USA; Seattle, WA, USA; United States
0-2 year
Data Scientist, Ads Marketing Analytics
GoogleChicago, IL, USA; Los Angeles, CA, USA; Mountain View, CA, USA; New York, NY, USA; Redwood City, CA, USA; San Francisco, CA, USA
2-4 year
Cloud Engineer, AI/ML
GoogleBangalore, Karnataka, India; Gurugram, Haryana, India; Hyderabad, Telangana, India; Pune, Maharashtra, India
4-6 year
Technical Program Manager III, Generative AI, Search
GoogleCambridge, MA, USA; Mountain View, CA, USA; New York, NY, USA; Sunnyvale, CA, USA
6-8 year
Data Analytics Apprenticeship, March or June 2024 Start
GoogleBangalore, Karnataka, India; Gurgaon, Haryana, India; Hyderabad, Telangana, India; Mumbai, Maharashtra, India
0-2 year
Open Source Lead, Staff Software Engineer, Quantum AI
GoogleGoleta, CA, USA; Los Angeles, CA, USA; Mountain View, CA, USA; Seattle, WA, USA
6-8 year
Research Scientist, Machine Learning, Computational Photography
GoogleHaifa, Israel; Tel Aviv, Israel
4-6 year
Machine Learning Software Engineer, Silicon
GoogleMountain View, CA, USA; San Diego, CA, USA
12-14 year
Product Manager, AI Imagery, Google Research
GoogleCambridge, MA, USA; Mountain View, CA, USA; New York, NY, USA
4-6 year
Group Product Manager, AI/ML, Qwiklabs, Google Cloud
GoogleCambridge, MA, USA; Mountain View, CA, USA; New York, NY, USA
10-12 year
Business Data Scientist, Natural Language Specialist
GoogleMountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA
2-4 year
Business Data Scientist, Ads Marketing Analytics
GoogleMountain View, CA, USA; New York, NY, USA; Redwood City, CA, USA; San Francisco, CA, USA
2-4 year