Location Remote - India 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 cooperative 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