Lead NLP data scientist/AI Engineer

OverviewJoin to apply for the Lead NLP data scientist/AI Engineer role at Una HealthWe are Una, a mission-driven company tackling the ever-growing burden of metabolic disease.We combine the latest medical research, data science, biosensor technology and human-centered design to enable sustainable enable sustainable behavior change and improve health outcomes.We are developing the first medical-grade digital therapy to sustainably address metabolic disorders.We are supported by Atlantic Food Labs and are part of their portfolio network, which includes some of the most inspiring startups in this field such as Clue, Meditopia, Cara Care and Casper as well as companies such as SoundCloud and Gorillas.We are a fast-growing, fully remote team that is just getting started. There\\\’s a lot of opportunity to shape the direction of the product right from the start.ResponsibilitiesResearching, prototyping and owning AI systems running in production and interacting with real users.While part of the Data Science team and the overall Engineering org, you will collaborate with other colleagues throughout the company to shape our AI vision.From vision models, to chatbots and text analytics, our roadmap is packed with exciting projects and opportunities to experiment.Requirements5–7 years industry experienceAdvanced knowledge in data science, information retrieval & extraction, natural language processing (NLP), especially proven track record of developing automated chat solutionsExperience building, training, testing, evaluating (scoring) large language model (LLM) solutions such as chatbots and vision-to-textYou are at the forefront of generative-AI advancements, and excited about exploring and applying this technology across digital care deliveryAdvanced understanding of a programming language in order to solve data-related challenges, preferably Python (and ability to leverage its ecosystem, e.g. using libraries like NumPy, SciPy, NLTK, TensorFlow, visualisation libraries, and so on)Good basic knowledge in data structures & algorithmsAbility to work in a team that focuses on knowledge sharing, learning, and mentoringGood communication skills in EnglishExperience in healthcare or nutritionExperience deploying and monitoring machine learning systems in a production contextExperience with MLOps (e.g., DVC, Metaflow, Feast, Tecton) and GitOps (e.g., DVC) workflowsInterview ProcessInformal introductory call – 30 minutesTake home technical challenge – 4 hoursTechnical interview – 1 hourCulture / values fit interview – 45 minutesThe opportunity to tackle one of the world\\\’s leading health problemsA competitive package with salary and equity potential relevant to experienceOpportunities for hybrid/remote workUnlimited holiday policy with a mandatory minimumBudget for co-working space and health and wellness appsHealthy work-life balance and flexible working hoursPersonal growth and training budgetA network of inspiring peers within our investor networksJob detailsSeniority level: Mid-Senior levelEmployment type: Full-timeJob function: Engineering and Information TechnologyIndustries: Health, Wellness & Fitness #J-18808-Ljbffr