Software Engineer III, AI/ML, Core
About the role
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.
- 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), ML infrastructure, or
specialization in another ML field.
- 1 year of experience with end-to-end Machine Learning (e.g., model
deployment, model evaluation, data processing, debugging).
PREFERRED QUALIFICATIONS:
- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with data structures or algorithms.
- 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 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: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
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 ML areas, utilize ML
infrastructure, and contribute to model optimization and data processing.
Responsibilities
- Write product or system development code.
- Collaborate on design and code reviews to uphold engineering best practices.
- Create and update documentation or educational content based on product updates and user feedback.
- Triage, debug, and resolve product or system issues.
- Implement solutions in specialized ML areas and contribute to ML infrastructure, model optimization, and data processing.
Qualifications
- Bachelor’s degree or equivalent practical experience.
- At least 2 years of software development experience, or 1 year with an advanced degree.
- At least 1 year of experience in speech/audio, reinforcement learning, ML infrastructure, or another ML specialization.
- At least 1 year of end-to-end machine learning experience, such as model deployment, evaluation, data processing, or debugging.
- Preferred: Master’s degree or PhD in Computer Science or a related technical field.
- Preferred: 2 years of experience with data structures or algorithms.
- Preferred: Experience developing accessible technologies.
Benefits
- 15% bonus target
- Equity
- Benefits
Skills mentioned
About Google
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. Check out our career opportunities at goo.gle/3DLEokh
H-1B sponsorship history
Historical employer filing data was found for Google. The employer record includes 57,181 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.