Software Engineer, Ads, AI/ML

1 Month ago • 2 Years + • Research Development • ~ $202,000 PA

Job Summary

Job Description

Google is seeking a Software Engineer specializing in Ads and AI/ML. This role involves developing next-generation technologies that impact billions of users globally. You will work on large-scale systems, artificial intelligence, machine learning, and natural language processing. The position requires versatility, leadership qualities, and enthusiasm for tackling new problems across the full stack. Responsibilities include writing product or system development code, collaborating with peers on design and code reviews, contributing to documentation, triaging and debugging system issues, and building/deploying recommendation systems models.
Must have:
  • Bachelor's degree or equivalent experience
  • 2 years of experience with data structures or algorithms
  • 2 years of experience with ML algorithms and tools (e.g., TensorFlow), AI, deep learning or NLP
Good to have:
  • Master's degree or PhD in Computer Science or related field
  • Experience developing accessible technologies
  • Experience with investigative methodologies like regression, classification, prediction, ML, and neural networks
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details

Software Engineer, Ads, AI/ML

GoogleLos Angeles, CA, USA
Info Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with data structures or algorithms.
  • 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning or natural language processing.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or a related technical field.
  • Experience developing accessible technologies.
  • Experience with investigative methodologies such as regression, classification, prediction, machine learning and neural networks.

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 US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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

  • Write product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Build and deploy recommendation systems models, utilize ML infrastructure, and contribute to model optimization and data processing.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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