Developer AI Staff Engineer, Machine Learning

United States🕖 6 months ago

The application window will be open until at least June 11, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.

Note: Google’s hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following:

In-office locations: Sunnyvale, CA, USA; New York, NY, USA.

Remote location(s): United States.Minimum qualifications:

Bachelor's degree or equivalent practical experience.8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).7 years of experience with research or applied AI in software development or a similar domain.7 years of experience with machine learning algorithms (e.g., deep learning, natural language processing) and tools (e.g., TensorFlow).5 years of experience with design and architecture, and with testing/launching software products.

Preferred qualifications:

Experience with prompt engineering.Experience with deep learning/LLM-based products or platforms.Experience with research communities/efforts, including publishing papers in machine learning and NLP conferences (e.g., ICLR, NeurIPS, ICML, ACL, EMNLP, etc.).Excellent programming skills.

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 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 $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

Lead research explorations or applied AI efforts to develop and use Generative AI models to transform software development workflows.Collaborate with Developer AI Applied Research and Google partner teams (e.g., Search, Ads, Cloud, YouTube, etc.) to envision, explore, and deliver new Generative AI capabilities to improve developer workflow.Collaborate with Developer AI Platform teams to enable delivery of new Generative AI capabilities.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Key Skills

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