e52 is a select team of senior engineers, scientists, and operators. We build intelligent systems with leading organizations, working directly with our partners and owning problems end to end. Careers AI/ML Engineer Full time · Cambridge, MA or Remote You will design and ship production AI systems for problems with no off-the-shelf answer: agentic workflows, retrieval and classification pipelines, and decision tools that run inside complex organizations. What you will do Own client systems end to end, from scoping and architecture through deployment and iteration Build with the modern AI stack: foundation models, agents, retrieval, fine-tuning, and evals Harden prototypes into reliable production systems with monitoring, evaluation, and guardrails Work directly with client stakeholders What we look for A track record of shipping ML or AI systems that run in production Strong software engineering fundamentals, Python, and modern cloud infrastructure Fluency with the current LLM ecosystem, and judgment about when not to use it Clear communication with technical and non-technical audiences alike You will work at the edge of what current models can do: designing experiments, developing methods, and turning results into capabilities the engineering team can ship. What you will do Design and run rigorous experiments on frontier and open models Develop evaluation, fine-tuning, and optimization methodologies for client problems Prototype novel methods and carry the successful ones into production with engineers Track the literature and translate what matters into practice What we look for Graduate-level research experience in machine learning or a closely related field Deep understanding of modern model architectures, training, and evaluation Strong empirical instincts and honest, careful experimentation Pragmatism: research here exists to create delivered value You will build the data foundations everything else stands on: unifying fragmented sources across systems that were never designed to agree into one reliable representation of the organization. What you will do Design and build pipelines, warehouses, and entity resolution for complex client data Reconcile fragmented systems into versioned, trustworthy sources of truth Own data quality, lineage, and reliability in production Partner with the AI/ML team so models stand on solid ground What we look for Experience building and operating production data platforms Strong SQL and Python, plus fluency with the modern data stack Judgment about data modeling and a low tolerance for silent errors Care for correctness at the level the work demands You will own security across e52 and the systems we ship: the practices, controls, and evidence that let clients trust us with their most sensitive data, and the path through SOC 2 readiness and audit for e52 and for what we deliver. What you will do Design and run the security program end to end, from policies and controls to monitoring and incident response Lead SOC 2 readiness and audits, and keep the evidence trail continuously audit-ready Embed security architecture into client engagements: identity, secrets, data handling, and deployment hardening Represent e52 in security reviews and diligence with client infosec teams What we look for Experience carrying an organization through SOC 2 Type II from readiness to report, ideally ISO 27001 as well Hands-on cloud security depth, not checkbox compliance alone Fluency in the questions AI systems raise: data governance, model access, vendor review Judgment to right-size controls so security enables delivery rather than blocking it #J-18808-Ljbffr
Security & Compliance Engineer
