Job description
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; and 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.
Location: Remote
Team: Turing UltraLab – AI Prototyping & Innovation
Type: Full-Time
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 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 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 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 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 LLM-based architectures and usage of APIs (OpenAI, Anthropic, Cohere, etc.).
Comfortable with prompt engineering and diagnosing model behavior.
Exposure to LangChain, CrewAI, Autogen, or custom multi-agent orchestration systems.
System Design & Data Engineering
End-to-end system design for real-time and batch inference systems.
Experience with feature engineering, data pipelines, and scalable infrastructure.
Software Engineering Excellence
Strong Python skills with robust practices in testing, documentation, and Git workflows.
Exposure to NumPy, pandas, scikit-learn, Transformers libraries, etc.
Cloud, MLOps & Deployment
Experience deploying solutions in AWS/GCP/Azure environments.
Familiarity with Docker, MLflow, SageMaker, or other MLOps stacks.
Evaluation & Responsible AI
Designing evaluation pipelines for GenAI use cases.
Awareness of ethical risks, fairness, and responsible deployment in high-stakes contexts.
Preferred Qualifications
8–12 years of relevant experience (can flex slightly based on strength).
Experience in customer-facing, pre-sales, or delivery management roles involving AI/ML.
Strong communication and stakeholder management skills.
Prior exposure to enterprise-grade deployments or working with executive-level clients.
Experience in hybrid ML+LLM solutioning and business metric optimization.
Why Join Turing UltraLab
Tackle real-world AI problems, not academic demos.
Build cutting-edge prototypes with high business visibility.
Work in a team that values questioning assumptions and shaping solutions collaboratively.
Operate with startup speed backed by global infrastructure.
Advantages of joining Turing:
- Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
- Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
- Competitive compensation
- Flexible working hours
- Full-time remote opportunity
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing’s GDPR notice here.
