Technical Lead Manager, AI Flow Platform, GDM Deployment
Job Summary
Job Description
- 8+ years software development experience
- 5+ years ML infrastructure experience
- 3+ years technical leadership
- 2+ years people management
- C++ or Python proficiency
- Experience with LLMs and NLP
- Experience with JAX, PyTorch, or TensorFlow
- End-to-end experience launching applied ML/NLP projects
- Frontend coding experience (AngularJS)
- Bonus
- Equity
- Benefits
10 skills required
Job Details
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development, and with data structures/algorithms.
- 5 years of experience with ML infrastructure, applied ML/AI algorithms and tools, LLMs or other multimodal foundation models, and natural language processing and working with C++ or Python.
- 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.
Preferred qualifications:
- Experience with modern ML frameworks (e.g., JAX, Pytorch or TensorFlow).
- End-to-end experience with launching applied ML/NLP projects.
- End-to-end experience with FrontEnd coding/Angular JS.
- Ability to work in a changing environment with ambiguity.
About the job
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
We are seeking highly motivated software engineer to build the development of our GenAI development platform. You'll play a pivotal role in ensuring that Google products are able to seamlessly incorporate latest GenAI models into their software development lifecycle.
We're building a unified toolchain that helps Google product teams build and launch GenAI-powered products. We have users across Alphabet and collaborate deeply with products such as Search, Ads, Youtube, etc. We enjoy close partnerships with Google DeepMind and core infrastructure teams across Google, and through the unique proximity to GDM we collaborate closely with researchers building the next generation of GenAI.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
- Build big bets into the AI Flow platform that incorporates the entire spectrum of Classic ML to state-of-the-art GenAI into the Google product development lifecycle.
- Lead a team of highly-motivated engineers to land strategic tracks in production-ready infra with high inflection points and high impact, supporting strong partnerships cross-product area.
- Design and implement customer-requested GenAI features through multiple stages. Develop and maintain our products, written in C++ and Python, with Google-wide coding, testing, production standards.
- Drive strategy and collaborate with stakeholders to identify emerging technology related to GenAI and develop a plan for translating these into practical solutions for Google products.
- Coach the team into high efficiency, fast pivots, while landing production-ready code. Promote a culture of continuous learning and improvement, and actively grow the team members into their next best selves.
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About The Company
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.
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