Job Listings

Jobs (78014)

Java Developer
Austin Fraser Farringdon, Central London
AI/ML - NLP Engineer - Vice President
Landing Point New York, NY
Staff Software Engineer, Natural Language Processing, Gemini
Google New York, NY
Applied Scientist, AGI - Intelligent Decisions
Evi Technologies Limited Cambridge, Cambridgeshire
ML Tech Lead
Janes Manchester, Greater Manchester
NLPエンジニア
confidential 東京都渋谷区
NLPエンジニア
株式会社Sportip 日本
Machine Learning Engineer(NLP/Generative AI Product)
⁑注目AI企業/Featured AI company⁑
■NLPエンジニア
株式会社日本経済新聞社 東京都千代田区
【Machine Learning Engineer】NLP Engineer / Generative AI Product
株式会社エクサウィザーズ 東京都港区
AIエンジニア(LLM/NLP)
株式会社オルツ 東京都港区
データサイエンティスト・エンジニアリング
株式会社Sportip 東京都文京区
【AI事業本部】機械学習エンジニア(NLP)
サイバーエージェントグループ 東京都渋谷区
【キャリア採用】自然言語処理(NLP)エンジニア
TDSE 株式会社 東京都
■NLPエンジニア
日本経済新聞社(エンジニア、UIUXデザイナー) 東京都千代田区
Slot Game Designer - Remote
TW Group, Inc. Reno, NV
Ad Operations Manager, Advertising Solutions (Quests)
Discord San Francisco, CA
Producer Intern
Electronic Arts Redwood City, CA
Senior Rendering Engineer
31st Union San Mateo, CA
Gaming Analyst
myGwork - LGBTQ+ Business Community Gibraltar, PA

Staff Software Engineer, Natural Language Processing, Gemini

Google

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

5 years of experience leading ML design, fine tuning/reinforcement learning (RL), and debugging data issues (e.g., bias, train/inference mismatch, data quality).Experience with large language models, including 7b+ models, in a professional setting.Experience processing and working to understand natural language and large language models.Preferred qualifications:Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
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 as a manager
About the job Join the team shaping the future of conversational AI and language understanding at Google
The Gemini team is at the forefront of deploying large language models (LLMs) that power Google’s conversational AI experiences
As a member of the Gemini team, you will contribute to the advancement and application of cutting-edge generative AI technologies that power conversational experiences and revolutionize the way we interact with information.Gemini’s mission is to be the forerunner of bringing this technology to users and pushing the boundaries of what is possible
In this role, you will help drive advancements in: Modeling techniques for reasoning, planning, tool chaining.Instruction tuning to make LLM follow user promptsLeveraging human feedback through reinforcement learning (RLHF)Targeted LLM-based synthetic data generation Empower LLMs to generate code that can be executed for plotting, solving equations, interactive data visualization and more.Making LLMs orchestrate over tools and backends.Retrieval over knowledge bases.Building automatic LLM-based offline evaluations.Increasing trust & safety of our models.The US base salary range for this full-time position is $189,000-$284,000 + 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 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 Drive innovation by translating cutting-edge ML research into impactful user-facing solutions.Push the boundaries of innovation and research across key Gemini dimensions - factuality and hallucinations, instruction following, coding generation capability, RLHF, differential privacy, handling long context, multimodal inputs and outputs, and more.Design and execute rigorous experiments, analyze results, and iterate on solutions to achieve optimal outcomes.Provide technical leadership on high-impact projects.Lead NLP solution design, optimize ML infrastructure, and guide model evaluation and debugging efforts.

Benefits:
Flexible Schedules, Free Food and Coffee, 401K, Life Insurance, Maternity/Paternity Paid Leave, Medical, Dental and Vision, Donation-Matching Program, Employee Events, Professional Development, Stock Options, Vacation/paid time off, Tuition Reimbursement, Retirement / Pension Plans, Work From Home, Paid Holidays, On Site Cafeteria, Paid sick days, Mobile Phone Discount, Performance bonus

About the Company:
Google

Build for everyone

Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.

It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another. A place where every Googler feels like they belong.

So whether you develop new technology or creative campaigns, craft beautiful products or breakthrough partnerships, your work here is a chance to accomplish things that matter. Bring your insight, imagination, and healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Building belonging through our workplace, products, and society

Building diversity, equity, and inclusion into our workplace, products, and progra

Location: New York, NY

Posted: Oct. 15, 2024, 7:38 a.m.

Apply Now Company Website