Software Engineer, AI/ML, Android
Google職缺描述
Software Engineer, AI/ML, Android Share: Share Software Engineer, AI/ML, Android
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Location: New Taipei, Banqiao District, New Taipei City, Taiwan
Experience Level: Mid
Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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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.
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 Location: New Taipei, Banqiao District, New Taipei City, Taiwan
Experience Level: Mid
Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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