Software Engineer, Machine Learning, Jigsaw at Google
New York, New York, USA -
Full Time


Start Date

Immediate

Expiry Date

08 Nov, 25

Salary

244000.0

Posted On

09 Aug, 25

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Structures, Academic Research, Computer Science, Architecture, Gemini, Testing, Machine Learning, Programming Languages, Software Development, Software Design

Industry

Computer Software/Engineering

Description

MINIMUM QUALIFICATIONS:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages.
  • 3 years of experience in testing, maintaining or launching software products, and 1 year of experience with software design and architecture.
  • 2 years of experience building prototypes or applications using Generative AI models (e.g., using Gemini or other Large Language Models).

PREFERRED QUALIFICATIONS:

  • Master’s degree or PhD in Computer Science or a related technical field.
  • 5 years of experience with data structures/algorithms.
  • 1 year of experience in a technical leadership role.
  • Experience working cross functionally and collaboratively.
  • Experience bringing ML systems to production.
  • Familiarity with academic research in AI and machine learning.

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.
In this role, you will translate in-depth research into path-breaking tools, frameworks and techniques, sharing the results widely. Your work focuses on creating a future where technology supports everyone’s feeling and ability to meaningfully shape their world. You will track emerging technologies and their adoption, translating insights into innovative applications to inspire new approaches.
Jigsaw is a unit within Google that explores threats to open societies and builds technology that inspires scalable solutions. Our team addresses a range of global security challenges including defending against digital attacks, mitigating the rise of online hate and harassment, countering extremism, and fighting censorship. Jigsaw offers mission-driven work within a nimble interdisciplinary team, connections to academia and civil society, and a quick path to taking technology public.
Because we believe the genAI era creates both an opportunity and an imperative to rethink our digital public square, we’re increasingly invested in technology to support democratic discourse.
The US base salary range for this full-time position is $166,000-$244,000 + 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.

How To Apply:

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Responsibilities
  • Rapid experimentation using the latest LLM technology to enable better conversations.
  • Innovate on early stage products that grow from prototypes to production.
  • Navigate ambiguous problems, leading experiments and making clear recommendations.
  • Own end-to-end development of applied LLM products: identify well suited use cases, create novel evaluation techniques, prompt or train models, guide data annotation, build serving and user experience layers.
  • Work cross-functionally to understand the problem space.
    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
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