Limbic

Senior AI/ML Engineer, remote in Canada: own the AI that assesses patients for US healthcare providers and gets them to the right mental health care faster.About LimbicLimbic’s vision is to ensure the highest quality therapy is accessible to everyone, everywhere.Limbic has supported more than 820,000 patients across the UK and the US. We are used in over 50% of NHS Talking Therapies services, which makes us the largest-ever deployment of generative AI for direct patient care, and our AI now delivers end-to-end therapy to patients in the US under the supervision of licensed clinicians.Safety and science come first. We are the only AI mental health chatbot with UKCA Class IIa medical device certification, and the first AI-led mental healthcare company selected for the FDA’s TEMPO pilot. Our results are published in leading scientific journals: in a randomized, double-blind trial published in Nature Medicine, our AI agents scored higher than licensed CBT therapists on a standard measure of therapy skill.The RoleAs a Senior AI/ML Engineer, you will take ownership of the AI in our clinical assessment product for US healthcare organizations. A patient describes what they are struggling with in a conversation with our AI, which gathers their history, administers standard clinical questionnaires such as PHQ-9 and GAD-7, detects risk and recommends a treatment program for the organization’s clinicians to review. Every organization configures it for its own services, so the AI has to be safe and accurate across many clinical setups, not just one.The approach is proven at scale in the NHS, where it increased referrals from minority groups by 29%, as published in Nature Medicine. You will work in North American hours alongside product, engineering and clinical colleagues, in close collaboration with our ML team in London. Our AI products are built on shared platforms for agents, evaluation and safety, so the systems you design are reused across Limbic.What You’ll Do<ul><li>Own the quality of the conversational AI that runs patient assessments, from each step of the conversation to clinical prediction and treatment recommendation.</li><li>Improve the safety checks that screen every patient message and AI reply, covering risk, attempts to manipulate the AI, unsafe medical advice and clinically inappropriate responses, so they catch more problems without flagging good replies.</li><li>Productionize ML models that optimize product KPIs, including the accuracy of clinical predictions and how quickly patients reach the right care.</li><li>Build and maintain evaluation harnesses, simulated patient conversations and labelled transcript review, so every configuration can be tested before a patient sees it.</li><li>Extend our assessment AI to new channels, including the phone, so that patients who cannot or will not use a web form still have a way in.</li><li>Help turn our clinical AI into composable services that healthcare partners can integrate into their own patient journeys.</li><li>Build agents and tooling that automate product development workflows, including reliable testing and customer demos.</li><li>Raise the engineering bar through architecture, code review and mentorship, while keeping our AI continuously compliant with strict regulatory requirements.</li></ul>What You’ll Bring<ul><li>You must meet one of the following educational and experience backgrounds:<ul><li>A PhD in computational science or an AI-related field, plus 2 years of experience in an ML engineering role.</li><li>OR A BSc/MSc, plus 4 years of experience in an ML engineering role.</li></ul></li><li>Expertise in productizing LLM features and a strong background in eval-driven development.</li><li>Expert-level proficiency in Python and TypeScript/JavaScript.</li><li>Proven experience building an LLM agent harness.</li><li>Experience utilizing reinforcement learning.</li><li>Strong architectural skills with experience designing scalable, production-grade systems for machine learning applications.</li><li>A solid understanding of statistical principles in the context of LLM evaluation and user activity analytics.</li><li>Proficiency with version control systems (preferably Git) and databases (SQL or NoSQL).</li><li>Hands-on experience with a major cloud platform and containerization technologies.</li><li>A track record of end-to-end ownership: you scope work you can ship quickly, measure its impact, and keep a sense of urgency when the stakes are high.</li><li>A genuine interest in applying your technical skills to solve complex challenges in the mental healthcare space.</li><li>Ideal but not required: Experience with real-time voice AI, or with healthcare organizations as customers.</li><li>North American business hours (Eastern time preferred), with daily overlap with colleagues in Europe (UTC to UTC+3).</li><li>Based in Canada with the right to work there.<ul><li>Please note: Limbic cannot provide visa sponsorship in Canada.</li></ul></li></ul>Benefits &amp; Wellbeing<ul><li>Salary: CA$173,000 – CA$192,000 per year.</li><li>Equity share options.</li><li>25 days PTO.</li><li>Support with purchasing work-related books and materials.</li><li>Quarterly Life Days: Enjoy 4 paid days off per year (one each quarter) to use whenever you choose to relax, recharge, or take care of personal matters.</li><li>Mental Health Support: Access to dedicated mental health support services.</li></ul>We encourage women and individuals from diverse backgrounds to apply and join our team. We believe in creating an inclusive and supportive work environment where everyone can contribute their best.

Senior AI/ML Engineer

Help us build the future of mental health by developing our new AI Therapist<div> </div>About LimbicLimbic’s vision is to ensure the highest quality therapy is accessible to everyone, everywhere.Limbic is already used in over 50% of Talking Therapies in the NHS in the UK as well as serving thousands of patients every week across the US, which makes us the largest-ever deployment of generative AI for direct patient care.Our products augment clinical care, reduce barriers to accessing therapy at scale, and deliver autonomous mental health interventions, all deployed with safety as the top priority and as the only AI mental health chatbot with UKCA Class IIa and FDA TEMPO certification. Our company puts rigorous scientific quality first and our results are published in leading scientific journals, such as Nature Medicine.<div> </div>The RoleAs a Senior AI Researcher, you have demonstrated a deep expertise in AI research, in particular in the context of large language models (LLMs). In this role, you will drive innovation and dedicate your expertise to catapulting forward the capabilities of AI-delivered mental health therapy.What You’ll Do<ul><li>Use cutting-edge ML techniques to improve patient trajectories and outcomes.</li><li>Use existing data to identify meaningful mental health representation spaces.</li><li>Identify causal mechanisms driving recovery from mental health conversations.</li><li>Predict trajectories of mental health outcomes and build recommender systems for interventions.</li><li>Design and run rigorous scientific experiments to validate your methods and publish these in high-impact peer-reviewed journals.</li><li>Lead on patent submissions to protect intellectual property.</li><li>Work closely with the clinical research team as well as the ML engineering team to build product-ready, clinically evaluated tools.</li><li>Drive continuous improvement through experimentation, iterative development, testing and optimisation.</li><li>Translate complex scientific challenges into impactful solutions.</li><li>Mentor and guide junior scientists and colleagues, fostering a collaborative, high-performing team culture.</li><li>Present your findings in internal and external scientific meetings and events.</li></ul>What You’ll Bring<ul><li>A PhD in computational science or an AI-related field, plus 2+ years of experience in a postdoctoral AI researcher role.</li><li>Strong publication record in AI research in cutting-edge conference proceedings or peer-reviewed journals.</li><li>Expertise in LLM-related research and methods development.</li><li>Experience with neural deep learning and machine learning.</li><li>Expert-level proficiency in Python, Typescript or related languages.</li><li>Experience in data analysis of large language-based datasets, feature-extractions methods, and prediction modelling.</li><li>Experience with reinforcement learning and model fine-tuning (e.g. RLHF/RLAI)</li><li>Expertise in statistical principles specifically in the context of LLM evaluation and user activity analytics.</li><li>Proficiency with version control systems (preferably Git) and databases (SQL or NoSQL).</li><li>Hands-on experience with major cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker) desirable.</li><li>The ability to work from our London (Spitalfields) office on Tuesdays and Thursdays, with the flexibility to work remotely or from the office on other days of the week.</li><li>Visa sponsorship for skilled workers possible.</li></ul>Benefits &amp; Wellbeing<ul><li>29 days of holidays (25 regular days and 4 Quarterly Life Days) + UK bank holidays</li><li>Access to mental health support</li><li>Company-wide meetups</li><li>Generous parental leave package</li><li>100% reimbursement for work-related books and materials</li><li>Flexibility with remote working</li><li>Headquarters in London, UK with an amazing office in Shoreditch that offers free gym sessions, socials and guest speaker events (for those who like to work from the office)</li></ul>

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