12 часов назад
Technical Lead, Early Stage Supply Chain Project (AI)
262 000 - 369 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Technical Lead, Early Stage Supply Chain Project (AI): Building production-grade AI systems for global supply chain applications with an accent on LLMs, machine learning, enterprise software, and responsible AI. Focus on setting technical direction, developing data pipelines and ML models, integrating foundation models with legacy systems, and moving research prototypes into reliable products.
Location: Mountain View, California, United States
Base salary: $262,000–$369,000 per year, plus bonus, equity, and benefits.
Company
is Alphabet’s moonshot factory, building ambitious technologies aimed at solving large-scale global problems.
What you will do
- Set technical direction for research prototypes and production deliverables, including software architecture and product features.
- Build production-grade AI enterprise software from prototyping and architectural design through development, testing, deployment, and maintenance.
- Develop end-to-end solutions covering data acquisition, processing pipelines, machine learning models, and enterprise integrations.
- Apply LLMs, foundation models, agentic AI, specialized tools, and advanced prompting techniques to improve AI reasoning and workflows.
- Lead technical initiatives, mentor engineers, and guide eecution in a fast-paced, loosely structured environment.
- Implement responsible AI safeguards, including sandboing and traceability of self-modifications, while transitioning prototypes into products.
Requirements
- MS, PhD, or equivalent practical eperience in computer science, engineering, or a related scientific or quantitative field.
- 10+ years of applied machine learning research and high-performance ML implementation eperience, plus 7+ years developing and releasing production-grade enterprise software.
- 4+ years of technical leadership eperience for a small team or equivalent leadership eperience.
- Etensive eperience with LLMs, agentic AI, RAG, knowledge graphs, model prompting, MLOps, model monitoring, deep learning frameworks, and performance optimization.
- Strong Python development eperience, including web applications, backend services, and data pipelines; familiarity with GitHub, agile development, unit testing, CI/CD, and production operations.
- Eperience integrating AI with enterprise and legacy systems, including ERP platforms such as SAP or Oracle, and deploying applications on cloud platforms using infrastructure such as Kubernetes and Terraform.
Nice to have
- Eperience with supply chain software for procurement, sourcing, product lifecycle management, or supply chain management.
- Eperience with Google AI tools, Google Cloud, Workspace, and data platforms such as GCS, S3, Dataflow, or BigQuery.
- Research papers, presentations, or other public-facing work demonstrating technical thought leadership.
Culture & Benefits
- Work on an early-stage supply chain moonshot combining AI research with enterprise applications.
- Collaborate with AI researchers, software engineers, entrepreneurs, partners, and customers around the world.
- Full-time employment with bonus, equity, and benefits.
- Equal employment opportunity and accommodation support are provided.
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