Software Engineer III, AI/ML

Software Engineer III, AI/ML

Location: New York, NY, USA

Experience Level: Mid

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.
• Experience developing, modifying, or training core internal Transformer components (e.g., custom/sparse attention mechanisms, sequence compression, Mixture-of-Experts, or encoder/decoder backbones) for foundation language models.
• Experience with pre-training or fine-tuning language and multimodal embedding models using techniques such as Supervised Fine-Tuning, contrastive learning, or parameter-efficient methods.
• Experience with neural network compression and accelerator-level (GPU/TPU) inference optimization (e.g., quantization, structured/expert pruning, or memory-latency trade-off tuning).

Preferred qualifications

• Master's degree or PhD in Computer Science, or related technical fields.
• 2 years of experience with data structures and algorithms.
• Proficiency in Python and experience with deep learning frameworks like JAX.
• Strong understanding of Transformer-based architectures, attention mechanisms, and the distinction between encoder and decoder models.

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.

Gemini Encoder-heavy provides Gemini-based encoder-heavy models that are production-ready with associated architectures, pipelines, and optimization recipes. The models are widely adapted across Google's Product Areas such as Search, Ads, and YouTube. The codebase is also the main infra powering Gemini Embeddings.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147,000 - $210,000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

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 the development and optimization of an encoder-heavy framework based on Gemini.
• Engineer innovative training recipes to maximize model efficiency, specifically targeting latency, memory footprint, and compute.
• Communicate with stakeholders to triage technical issues and develop new features that address evolving client needs.

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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.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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.

Locations: New York, NY, USA

Experience Level: Mid

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

Skills

• Transformer Components,Language Models,Neural Network Compression,Python Proficiency,Deep Learning Frameworks