Data Scientist II

🕒 February 18

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Logo of Dyson

Dyson

10,000+ employees

Founded 1991

🔧 Hardware

🛒 Retail

Hardware • Manufacturing • Retail

Dyson is a unique technology enterprise known for its innovation and engineering superiority. Originating from a small workshop in rural England, Dyson has grown into a global powerhouse with offices worldwide, from Auckland to Zurich, Shanghai to Chicago. The company's core revolves around engineering but extends to pioneering in diverse technology sectors, including energy storage, robotics, and machine learning. Dyson's products are renowned for quality and innovation, with a strong focus on design and development, which reflects across their vibrant global offices.

📋 Description

• Design and implement Gen AI–powered agents that solve real business challenges and streamline internal workflows • Extend and optimize the internal agent evaluation framework to ensure reliable, high-performing, and explainable agents • Build benchmarking and monitoring systems to assess orchestration strategies and model performance in production • Conduct experiments to evaluate the impact of model or architecture changes, balancing performance, cost, and scalability • Build on existing prompt engineering frameworks to standardize best practices and eliminate “prompt debt” • Move beyond chatbots to create ambient, context-aware agents that boost efficiency and unlock new productivity avenues • Collaborate with engineering teams to advance the internal agentic platform, focusing on orchestration, observability, and optimization • Mentor and guide junior data scientists and software engineers on Gen AI techniques and frameworks • Partner with product managers to assess technical feasibility, estimate level of effort (LoE), and prioritize development initiatives • Bring innovative ideas to evolve agentic architecture and continuously advance internal AI capabilities • Communicate complex AI concepts effectively to non-technical stakeholders, supporting organizational learning and adoption • Lead roadshows and demos to advocate for Gen AI tools and drive cultural change across the enterprise

🎯 Requirements

• Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or related fields • 5+ years of experience in applied ML, AI development, or advanced data science roles • Hands-on experience building and deploying LLM-based agents, RAG pipelines, and multimodal Gen AI systems • Proficiency in Python and Gen AI frameworks • Strong understanding of agent orchestration frameworks (LangGraph, LangChain, AutoGPT, or equivalent) • Demonstrated expertise in benchmarking, A/B testing, and model monitoring for AI systems • Experience developing and maintaining prompt engineering standards and frameworks • Ability to evaluate and optimize model performance across different LLMs and architectures • Familiarity with internal experimentation, observability, or AI governance tools is a plus • Contributions to open-source projects, research publications, or AI community initiatives is a plus

🏖️ Benefits

• group health insurance benefits (medical, vision, dental) • FSA and HSA healthcare accounts • life and accident insurance • adoption and fertility assistance • paid parental leave of up to 6 weeks • short/long term disability • paid time off for vacation, personal needs, and sick time • up to 17 days of Choice Time Off (CTO) per calendar year • up to 11 paid holidays per calendar year • 401(k) savings and investment plan with employer match of 100% on the first 3% of contributions for eligible employees

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