Security & Compliance Engineer

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