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As a Research Scientist on our team, you will work on real production use cases of LLMs and other ML techniques to solve business problems and create groundbreaking AI applications. The role requires that you develop a deep understanding of our product surface area and what drives our business, such that you can operate and drive impact both cross-functionally and independently. You will have end-to-end responsibility for projects, including definition, design, development, launch, and success––this includes ensuring your output has the expected impact on user growth, operational efficiency, or revenue generation.
Job Responsibility:
Scope and spearhead AI augmentation and automation projects across our product surface area, including: Unintuitive classifications, Data extraction and summarization, Precise content generation, Reference-based search and question answering, Process outcome prediction, Probabilistic triggering of workflows, and Multimodal LLM-powered bots
Stay on top of emerging AI methods and guide decisions around which models and techniques to adopt––including evaluating when to use open-source models, proprietary models, and custom fine-tuning approaches
Establish research strategies for various AI methods, including rigorous experimentation and evaluation protocols that account for accuracy, consistency, interpretability, and real-world impact
Develop novel algorithms and techniques to address core research problems in natural language processing, data extraction, and autonomous reasoning (e.g., few-shot learning, agentic reasoning, and multi-modal interaction)
Participate actively in client engagements, working directly with customers to understand requirements and deliver innovative solutions
Work closely with the rest of our team and CEO to make business decisions as we balance speed of growth and long-term profitability
Requirements:
Strong programming skills and general Computer Science knowledge
Strong research background in ML/NLP, demonstrated through publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP) or significant open-source contributions
Experience working on complex ML problems (e.g., data-efficient learning, reasoning agents, or multi-step workflows) and deploying those solutions in production environments
Deep understanding of modern ML methods, including transformer architectures, attention mechanisms, reinforcement learning, and multimodal models — with proficiency in deep learning frameworks such as PyTorch, TensorFlow, or JAX
Strong written and verbal communication that allows you to be an effective participant in both internal debates and external relationships
Track record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goals
High NPS with your former teammates
What we offer:
Fully covered medical, vision, and dental insurance
Memberships for One Medical, Talkspace, Teladoc, and Kindbody
Unlimited paid time off (PTO) and 16 weeks of parental leave
401K plan setup, FSA option, commuter benefits, and DashPass
Lunch at the office every day and Dinner at the office after 7 pm