Software Engineer, AI/ML, Android
職缺描述
In most instances, this position requires in-person interviews as part of the hiring process.
Google welcomes people with disabilities.
Minimum qualifications
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in Python, Java or C++.
- Master's degree in Computer Science, specializing in Machine Learning, Artificial Intelligence, or Natural Language Processing.
- Experience independently building and contributing to the design of user-facing GenAI features, in close collaboration with product, research, and engineering teams.
- Experience with relevant technologies (e.g., JAX, Tensorflow, PyTorch).
- Exceptional ML fundamentals and data engineering skills, with an understanding of modern ML model evaluation techniques, including industry-standard benchmarks and metrics.
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 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. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility.
Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment.
Responsibilities
- Contribute to the strategy for selecting, fine-tuning, and deploying foundational models to achieve specific product goals.
- Work on the deployment and optimization of large language models (LLMs) and multi-modal models for both on-device and cloud execution. This includes leveraging and improving ML infrastructure for model evaluation, data processing, and debugging.
- Contribute to the design and implementation of data collection and processing solutions. Develop evaluation frameworks to measure the real-world performance and impact of machine learning models on the user experience.
- Stay current with the latest advancements in Generative AI. Translate cutting-edge research into tangible product features that create transformative and helpful experiences for Pixel users.
See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
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