Software Engineering Manager, Machine Learning, Kids and Families

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

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Sick time

Maternity leave

Baby bonding leave

13 holidays

Job summary

Google is seeking a Software Engineering Manager for the Machine Learning team within Kids and Families, based in Kirkland, WA or Mountain View, CA. You will lead ML projects, guide engineers, and shape product strategy across Search, YouTube, and Core.

You will influence model behaviors under regulatory and privacy constraints, manage multiple teams, and drive large-scale infrastructure while fostering a high-performing culture.

Qualifications

• 8 years of experience in software development and system design.
• 3 years in a people management role.
• Experience in ML, recommendation systems, NLP, CV, or AI.

Responsibilities

• Build and drive a technical roadmap for ML initiatives.
• Lead and mentor engineers, managing career growth and performance.
• Collaborate with cross-functional teams across Google products and platforms.

Skills

Machine Learning

NLP / Generative AI

Decision making

Education

Bachelor's degree or equivalent practical experience

Job description

Software Engineering Manager, Machine Learning, Kids and Families

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Place: Kirkland, WA, USA; Mountain View, CA, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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: Kirkland, WA, USA; Mountain View, CA, USA.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development and system design.
• 3 years of experience in a people management role.
• Experience in one or more disciplines: machine learning, recommendation systems, natural language processing, computer vision, pattern recognition, or artificial intelligence.
• Experience with Large Language Models, NLP, or Generative AI.

Preferred qualifications:

• Experience managing engineering teams, including experience leading managers or tech leads with a commitment to people management responsibilities.
• Experience working on Trust and Safety, user classification, fraud/risk detection, identity verification, or adversarial machine learning.
• Experience with building classifiers, machine learning, AI, ranking, research background.
• Experience working with Data Scientists to improve model quality, develop calibration models, evaluation methods and de-biasing techniques.
• Experience mentoring junior engineers.

About the job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

The Kids and Families team is working to bring new, exciting services and experiences to minors and their families. We are focused on the well-being of kids and families while ensuring that Google is compliant with regulations set by regulatory bodies across the globe.

We are working on many exciting initiatives to grow the user base of minor accounts and families within Google. We are also working on new features, making our services more accessible to other services, and enabling other platforms such as Youtube, Gemini and others to provide better experiences for children and their families.

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. 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

• Work with Technical Leads to establish and drive a technical road map for your team, mapping business objectives to a cohesive team strategy. Lead the execution and deployment of sophisticated ML models.
• Foster a healthy, high-performing team culture. Manage career growth, performance, and mentorship for engineers on your team.
• Collaborate cross-functionally with peer teams across Search, YouTube, and Core. Partner with Data Science, Product, and Policy to define model behaviors that respect complex regulatory and privacy constraints.
• Guide the team in designing and building scalable data pipelines and training infrastructure for large-scale datasets. Ensure long-term system reliability and robustness by integrating modern ML infrastructure and engineering best practices.
• Align team priorities with broader organization goals and company-wide objectives. Identify and mitigate project risks, manage dependencies, and reduce operational toil across functional lines.

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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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