Software Engineer, Generative AI, Eval Platform, Core ML

3 Months ago • 2-4 Years • Artificial Intelligence • $136,000 PA - $200,000 PA

Job Summary

Job Description

Google seeks a Software Engineer specializing in Generative AI, evaluation platforms, and Core ML. Responsibilities include writing evaluation platform code, participating in design reviews, code reviews, contributing to documentation, and triaging/resolving product/system issues. The role requires experience with Generative AI concepts (LLMs, multi-modal models), ML infrastructure (model deployment, evaluation), and software development. The ideal candidate possesses strong problem-solving skills, collaborates effectively, and contributes to a high-quality engineering culture.
Must have:
  • Generative AI experience (LLMs, multi-modal)
  • ML infrastructure experience (deployment, evaluation)
  • Software development proficiency (2+ years)
  • Data structures & algorithms experience (2+ years)
  • Code review and documentation skills
Good to have:
  • Master's/PhD in CS or related field
  • Experience with large-scale systems
  • Performance analysis and visualization skills
  • Experience developing accessible technologies
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details


Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  • 2 years of experience with data structures or algorithms.
  • 1 year of experience with core Generative AI concepts (e.g., Large Language Model, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation.
  • 1 year of experience with Machine Learning (ML) infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

  • Master's degree or PhD in Computer Science, or a related technical field.
  • 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
  • Experience in code and system health, diagnosis, resolution, and software test engineering.
  • Experience developing accessible technologies.

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 $136,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 .

Responsibilities

  • Write Generative AI evaluation platform and tooling code, and triage product or system issues.
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Review code developed by other developers and provide feedback to ensure best practices (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.

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

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