Senior Software Developer, Machine Learning, Applied AI

Google Inc.; New York (NY); On-site; USD 174,000 - 252,000; Full time

Job summary

Google Cloud seeks a Senior Software Developer with Machine Learning and Applied AI expertise to join a fast-moving, end-to-end development team. You will help build scalable AI agents, improve performance, and mentor junior engineers across Sunnyvale and partner sites.

The role emphasizes ownership, collaboration, and delivering enterprise-grade ML solutions. The ideal candidate has deep ML knowledge, strong software design skills, and at least 5 years of hands-on development experience, with

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with one or more ML areas: speech/audio, RL, ML infrastructure.
• 5 years of experience with ML design and ML infrastructure.

Responsibilities

• Design and build recommendation systems for AI Agents.
• Develop skill discovery and matching capabilities for AI Agents.
• Develop and implement investigative tools for AI Agent performance.
• Manage stakeholders effectively and solve ambiguous technical issues, contributing to the overall strategy and roadmap for the team.
• Provide coaching to your team, and contribute to Google's culture and operations.

Skills

Software development

ML/AI expertise

Leadership experience

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Computer Science or related field

Tools

Python

Job description

Senior Software Developer, Machine Learning, Applied AI

Google Sunnyvale, CA, USA ; Toronto, ON, Canada ; +3 more ; +2 more

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

X Applicants in Canada: This posting is for an existing vacancy.
Google utilizes AI tools to assist in assessing candidates in our hiring processes.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Toronto, ON, Canada; Waterloo, ON, Canada; New York, NY, USA.

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years 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.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• 5 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

About the job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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 Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. Our mission is to develop conversational AI agents capable of engaging in complex, open-ended dialogue and completing autonomous tasks. The agent ecosystems we build are autonomous and self-healing.

In this role, you will manage the end-to-end developer journey, covering Build, Evaluate, Optimize, Deploy, and Monitor phases. You will work on agentic development workflows, building upon the frontend capabilities of the current GECX console, CES BE infrastructure, Python tools, ML Evals and more. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Canada: $182000 - $186000 (CAD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.

• Design and build recommendation systems for AI Agents.
• Develop skill discovery and matching capabilities for AI Agents.
• Develop and implement investigative tools for AI Agent performance.
• Manage stakeholders effectively and solve ambiguous technical issues, contributing to the overall strategy and roadmap for the team.
• Provide coaching to your team, and contribute to Google's culture and operations.

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 .

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.