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Application Instructions: 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 (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 Responsibilities Learn more about benefits at Google . 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. 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 .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.