Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available Relocation package: AvailableRelocation package: AvailableStart date: ASAPLanguages: English (required)About the RolePragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers.We are looking for a Senior AI/ML Engineer to join a high-performing AI engineering team building and deploying real-world AI systems used by Fortune 500 customers. You will take technical ownership of critical ML components, lead model development and productionization efforts, and work closely with AI researchers, platform engineers, and product teams to deliver scalable, production-grade AI systems.This role is intended for experienced AI/ML engineers who have already built and deployed models in production environments and want to operate at the intersection of research-quality AI and real-world systems engineering.What You’ll DoDesign, build, train, and optimize machine learning and deep learning models for production useLead the deployment of ML models into scalable, reliable production systemsArchitect training, inference, and evaluation pipelines for structured and unstructured dataOwn model performance, reliability, scalability, and lifecycle managementDrive experimentation, model iteration, and performance benchmarkingImplement and maintain high-quality ML codebases primarily in PythonMonitor, debug, and improve live production modelsCollaborate with platform, backend, and infrastructure teams on system integrationContribute to technical direction, architecture decisions, and AI roadmap planningMentor junior engineers and support team-level technical excellenceWhat We’re Looking ForBachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, or a related field7+ years of professional experience in AI/ML, data science, or applied machine learning rolesProven experience deploying ML systems into production environmentsStrong understanding of ML fundamentals, evaluation methodologies, and model lifecycle managementDeep hands-on experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learnStrong proficiency in PythonExperience designing scalable ML systems and pipelinesAbility to operate independently and take technical ownership of complex systemsStrong problem-solving, architecture, and system-design skillsBonus PointsExperience with deep learning, LLMs, GenAI, or modern AI architecturesExperience building AI systems used by enterprise or large-scale customersStrong experience with cloud platforms (AWS, GCP, Azure)MLOps experience (CI/CD for ML, model deployment, monitoring, observability)Research background, publications, or applied AI innovation projectsExperience leading AI initiatives or mentoring ML engineersWhy This Role Is High-ImpactWork directly with MIT CSAIL–founded leadershipBuild AI systems deployed to Fortune 500 customersOperate at the intersection of cutting-edge AI and real-world production systemsHigh ownership and influence over technical directionJoin a well-funded, fast-growing AI startup with strong technical ambitionClear path toward Staff/Principal AI Engineer or AI Architect rolesBenefitsCompetitive salary & equity optionsSign-on bonusHealth, Dental, and Vision401(k)
26 days ago