Turing’s UltraLab is seeking a Lead Applied Scientist to design and deliver AI-first prototypes, excelling in machine learning and LLM-based systems, with strong customer-facing advisory skills and a strategic delivery mindset.
Job listings
Turn our ever-growing data universe into actionable intelligence that moves the business forward. You will organize and enrich large, diverse datasets, build and productionize decision-support tools used daily by BRAIN consultants, and fast-track the adoption of new technologies. Spend a portion of your time on exploratory research and prototyping of next-generation analytics so the team keeps pushing boundaries.
$181,000–$205,500
USD/year
Drive the development, integration, and deployment of advanced AI, data engineering, and cloud-based solutions. The ideal candidate will have deep expertise in data engineering, agentic AI systems, large language models (LLMs), and Model Context Protocol (MCP).The preferred candidate will bring deep experience with AWS and Snowflake services, including a strong understanding of security best practices for cloud-based AI and data solutions.
Research, prototype, and productionize generative AI models. Develop scalable GenAI pipelines that generate high-quality content, from product descriptions, reviews, titles, and other product content. Design and evaluate prompt tuning strategies and RAG systems to ensure factual and engaging outputs. Fine-tune foundation models and develop domain-specific adapters using techniques like LoRA, PEFT, and instruction tuning.
This role sits at the intersection of quantitative finance, machine learning, and natural-language understanding. You’ll leverage NLU techniques—like sentiment and intent analysis—to mine news and social media for trading signals, build and mathematically refine predictive models, and rigorously backtest and optimize your strategies to drive data-driven investment decisions.