Research Software Engineer, Foundational ML Research

Google; Kirkland (WA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off 20 days/year

Sick time 40 hours/year (Seattle 69)

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

Holidays 13 paid days

Job summary

Google is seeking a Research Software Engineer in Foundational ML Research to lead high-impact ML projects. Location options include Kirkland, WA, or New York, NY, with in-person interviews common. The role emphasizes ML design, deployment, data processing, and collaboration with researchers to productionize solutions.

The team values leadership, versatility, and the ability to span full-stack challenges in a fast-paced environment. Competitive compensation and comprehensive benefits are offered.

Qualifications

• Bachelor's degree or equivalent practical experience in CS/AI/ML.
• 8 years of software development experience.
• 5 years of ML design/infrastructure experience (model deployment, evaluation, data processing, debugging, fine tuning).
• 5 years of experience with ML areas such as speech/audio, reinforcement learning, or related ML field.
• 5 years of experience testing and launching software products; 3 years of software design/architecture.

Responsibilities

• Provide technical leadership on high-impact projects, managing priorities, deadlines, and deliverables.
• Coordinate across teams to align goals, outcomes, and timelines, and coach distributed engineers.
• Lead design and implementation of ML solutions, optimize infrastructure, and guide model optimization and data processing strategies.
• Prototype and test algorithms and collaborate with researchers to productionize solutions.

Skills

Software development

ML design & infrastructure

Model deployment

Data processing

Education

Bachelor's degree in CS/AI/ML or related field

Master's degree or PhD in Engineering/CS/ML or related field

Job description

Research Software Engineer, Foundational ML Research

Location: Kirkland, WA, USA; New York, NY, USA

In most instances, this position requires in-person interviews as part of the hiring process.

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 (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• 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: Kirkland, WA, USA; New York, NY, USA.

Minimum qualifications:

• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field, or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), or specialization in another ML field.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

Preferred qualifications:

• Master's degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 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.
• Expertise in statistical modeling or machine learning algorithms.

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.

Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Provide technical leadership on high-impact projects, managing project priorities, deadlines, and deliverables.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines, while influencing and coach a distributed team of engineers.
• Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.
• Prototype and test fundamental algorithmic approaches, and collaborate with researchers and partners to bring solutions into production environments.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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