Research Scientist

About LatentLatent is the enterprise pharmacy intelligence platform, powered by a clinical agentic engine, that enables health systems to grow their pharmacy operations and serve more patients. One engine works across the pharmacy journey to identify patients who qualify for care, improve medication access, capture eligible prescriptions and support patients throughout treatment. Latent’s platform enables more than 60 leading health systems that collectively serve an estimated 70 million people. Founded by Sriram “Sri” Somasundaram and Rishabh Jain, Latent has raised $80 million from Transformation Capital, Spark Capital, Conviction, General Catalyst, Y Combinator, and others.The RoleAs a Machine Learning Engineer, Research, you will own the design and development of novel modeling approaches that advance state-of-the-art clinical intelligence.You will drive research from ambiguous problem definition through to validated results and downstream impact, shaping the technical direction of how models learn from longitudinal patient data.We are primarily hiring for senior and staff-level engineers who are comfortable owning critical research problems end-to-end.This role involves working on problems that directly impact real patient outcomes.What You’ll DoOwn research initiatives end-to-end, including problem formulation, experimental design, modeling, and evaluationDevelop novel architectures, training methods, and objectives leveraging longitudinal patient dataWork on verifiable reinforcement learning, mid-training, and post-training of foundation modelsDesign rigorous evaluation methodologies to assess model reasoning, correctness, and clinical relevanceMake and own tradeoffs between model capability, interpretability, and verifiability in high-stakes settingsCollaborate with clinicians and engineers to define meaningful problem formulations grounded in real-world workflowsPartner with ML engineers to ensure research translates into deployable systemsWhat We’re Looking ForStrong foundation in machine learning, deep learning, or a related technical fieldTrack record of driving ML research or novel modeling work from idea to validated resultsExperience working on ambiguous research problems with limited prior artHands-on experience with PyTorch or similar frameworksAbility to operate independently in high-ambiguity environments with minimal guidanceStrong technical judgment — you can identify meaningful problems, design appropriate approaches, and evaluate results rigorouslyComfort working in a fast-moving, early-stage environmentExperience working on systems where decisions have real-world consequences (e.g., healthcare, finance, infrastructure)Nice to HavePublications at top-tier ML venues (e.g., NeurIPS, ICML, ICLR)Experience with LLMs, NLP, or sequence modelingExperience with reinforcement learning or alignment methodsExperience working with longitudinal or structured data at scaleExperience working with clinical, biomedical, or scientific domainsWhy Join LatentBacked by top-tier investors including General Catalyst, Conviction, and Y CombinatorWork alongside a high-caliber team building products our healthcare partners loveWork on mission-critical problems at the intersection of AI and healthcareReal ownership and visibilityHigh-impact role on a small, fast-growing teamBenefitsCompetitive compensation, including meaningful equityMedical, dental, and vision insurance for employee and dependentsFlexible PTO policyPaid parental leaveFertility and family-building stipend through Carrot