Job Title: Lead Applied Scientist

Location: Remote Team: Turing UltraLab – AI Prototyping & Innovation Type: Full-Time

About Turing

Based in Palo Alto, California, Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways:

• Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilingualism, STEM and frontier knowledge.
• Leveraging that expertise to build real-world AI systems that solve mission-critical priorities for Fortune 500 companies and government institutions.

Turing has received numerous awards, including Forbes's "One of America's Best Startup Employers," #1 on The Information's annual list of "Most Promising B2B Companies," and Fast Company's annual list of the "World's Most Innovative Companies." Turing's leadership team includes AI technologists from industry giants Meta, Google, Microsoft, Apple, Amazon, Twitter, McKinsey, Bain, Stanford, Caltech, and MIT.

For more information on Turing, visit www.turing.com. For information on upcoming Turing AGI Icons events, visit go.turing.com/agi-icons.

About the Role

Turing’s UltraLab is a fast-paced R&D hub focused on designing and delivering AI-first prototypes that solve real-world problems. We are looking for a Lead Applied Scientist who not only excels in machine learning and LLM-based systems but also brings strong customer-facing advisory skills and a strategic delivery mindset.

This is not just an individual contributor (IC) role. You will act as a trusted advisor, blending technical innovation with client engagement, guiding early-stage AI solutioning and working closely with executive stakeholders. You should thrive in ambiguity, ask the right questions, challenge assumptions, and lead iterative technical explorations across diverse use cases.

Key Responsibilities

1. Architect AI Prototypes Across Projects

   • Drive technical architecture across multiple AI initiatives, especially those involving agentic systems, RAG pipelines, and GenAI capabilities.
   • Understand customer needs deeply and guide bespoke prototype customization with practical implementation tradeoffs.

2. Advisory & Client-Facing Technical Leadership

   • Represent the technical arm in customer meetings and product discovery calls.
   • Frame, challenge, and reframe problems with business stakeholders.
   • Propose directionally correct solutions while teasing out hidden needs, constraints, and delivery goals.

3. Innovation Catalyst

   • Identify new directions for GenAI exploration based on emerging trends and customer pain points.
   • Drive hypothesis-driven experimentation with measurable outcomes.

4. Delivery-Focused Prototyping

   • Lead early-stage solution design with attention to feasibility, scale, and downstream implementation paths.
   • Work with engineering to scope Minimum Viable Products (MVPs) and iterate quickly toward high-quality demos.

5. Communication & Influence

   • Translate complex AI concepts into business-relevant insights.
   • Confidently push back on suboptimal approaches (e.g., premature fine-tuning) and steer stakeholders toward more impactful alternatives.

6. Cross-Functional Integration

   • Collaborate across engineering, product, science, and Go-To-Market (GTM) teams to align efforts toward use-case impact.

7. Mentorship & IP Development

   • Mentor junior scientists/engineers, review work, and promote learning through code walkthroughs, system design sessions, and feedback cycles.
   • Contribute to thought leadership via blogs, whitepapers, or intellectual property (IP) filings rooted in customer project learnings.

Core Skills & Experience

Technical Foundation

• Strong background in supervised/unsupervised ML, including classification, regression, clustering, and evaluation.
• Expertise with PyTorch, TensorFlow, or equivalent.
• Proven experience designing and implementing Retrieval-Augmented Generation (RAG) pipelines.

LLM & Agentic Systems

• Practical knowledge of...