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Software Engineer III, AI/ML

Software Engineer III, AI/ML

1 Month ago • 3-5 Years • Artificial Intelligence

About the job

5 skills required for this role

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cpp

algorithms

reinforcement-learning

data-structures

networking

Job Description

As a Software Engineer III, AI/ML at Google, you'll contribute to the development of next-generation search technologies. Responsibilities include writing product/system code, collaborating on design and code reviews, contributing to documentation, troubleshooting issues, and implementing solutions in specialized ML areas. You'll leverage ML infrastructure, optimize models, and process data. The role requires expertise in software development (C++ preferred), data structures and algorithms, and experience in at least one ML field (speech/audio, reinforcement learning, recommendation systems).

Must have:

C++ development experience
Data structures & algorithms expertise
1+ years ML experience (speech, RL, recommender systems)
Code review & collaboration
Debugging & problem-solving skills

Good to have:

Master's/PhD in CS or related field
Experience with ML infrastructure
Model optimization skills
Data processing expertise

Perks:

Bonus
Equity
Benefits

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in C++, or 1 year of experience with an advanced degree.
2 year of experience with data structures or algorithms.
1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production or specialization in another Machine Learning (ML) field.

Preferred qualifications:

Master's degree or PhD in Computer Science, or in a related technical field.

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 Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

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 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.
Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.

View Full Job Description

$136.0K - $200.0K/yr (Outscal est.)

$168.0K/yr avg.

Worldwide

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About The Company

Google

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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.