Security & Compliance Engineer
hace 24 horas
Cambridge
We build intelligent systems with leading organizations, working directly with our partners and owning problems end to end. Careers 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. • 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, • 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. • 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, • 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. • 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, • 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. • 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, • 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