Associate, AI/ML Engineer

Legend Biotech is a global biotechnology company dedicated to treating life-threatening diseases. They are seeking an Associate AI/ML Engineer to join their Data & AI team, where the role involves designing, building, testing, and deploying production-grade Generative AI solutions and traditional machine learning models.ResponsibilitiesBuild and iterate on LLM-powered features (e.g., chat, summarization, extraction, classification) using approved model providers and internal platformsDesign retrieval-augmented generation (RAG) solutions, including document ingestion, chunking, embeddings, vector search, and prompt templatesDevelop and evaluate prompts, tools, and agentic workflows; implement guardrails (grounding, citations, refusal behavior) and improve reliabilityCreate offline and online evaluation for GenAI systems (test sets, automated metrics, human review processes) and track quality over timeAssist with developing, training, and evaluating traditional ML models when needed (e.g., classification, regression, anomaly detection, recommendation)Clean, preprocess, and analyze structured and unstructured data; build reproducible data pipelines for model inputs and evaluationCollaborate with data scientists, software engineers, security, and product teams to translate business requirements into safe, scalable solutionsSupport deployment, monitoring, and cost/performance optimization for GenAI services (latency, token usage, caching, drift, incident response)Write clean, maintainable, and well-documented code; contribute to code reviews, runbooks, and user documentationWorks under guidance to make day-to-day technical decisions such as selecting baseline prompts/RAG patterns, defining evaluation criteria (quality, safety, latency, cost), and proposing experiment plansEscalates architecture, production rollout, security, and data governance decisions to senior engineers/tech lead; contributes input through code reviews, documentation, and demosSkillsBachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field (or equivalent practical experience)Internship, academic project, or capstone experience building GenAI/LLM or ML applicationsHands-on experience with at least one LLM framework/tooling (e.g., LangChain, LlamaIndex, Semantic Kernel) or equivalent custom orchestrationExposure to RAG building blocks (document ingestion, chunking, embeddings, vector databases/search)Familiarity with evaluation approaches for LLM systems (golden sets, qualitative rubrics, automated checks) and basic experiment trackingFamiliarity with SQL and relational databases; experience working with unstructured text data is a plusBasic knowledge of cloud platforms (AWS, Azure, or GCP) and deploying services via APIsExperience with version control tools (Git/GitHub) and collaborative development workflowsIT Skills: Python; Jupyter/VS Code; Git; Linux fundamentals; Docker basics; REST APIs; SQL; basic CI/CD concepts; familiarity with LLM APIs and orchestration frameworks (e.g., LangChain/LlamaIndex/Semantic Kernel); embeddings and vector databases/search (e.g., Pinecone/FAISS/Azure AI Search or equivalent); experiment tracking/evaluation tooling (e.g., MLflow or equivalent); basic monitoring/observability concepts (logs, traces, latency, token usage)BenefitsMedical, dental, and vision insurance401(k) retirement plan with a company match that vests fully on day oneEight (8) weeks of paid parental leave after just three (3) months of employmentPaid time off policy that includes vacation time, personal time, sick time, floating holidays, and eleven (11) company holidaysFlexible spending and health savings accountsLife and AD&D insuranceShort- and long-term disability coverageLegal assistanceSupplemental plans such as pet, critical illness, accident, and hospital indemnity insuranceVoluntary commuter benefitsFamily planning and care resourcesWell-being initiativesPeer-to-peer recognition programsCompany OverviewLegend Biotech is a biopharmaceutical company that develops and commercializes novel cell therapies for oncology. It was founded in 2014, and is headquartered in Piscataway, New Jersey, USA, with a workforce of 1001-5000 employees. Its website is https://www.legendbiotech.com.Company H1B SponsorshipLegend Biotech has a track record of offering H1B sponsorships, with 30 in 2025, 11 in 2024, 14 in 2023, 7 in 2022, 6 in 2021, 13 in 2020. Please note that this does not guarantee sponsorship for this specific role.



Apply Now