Senior Staff Machine Learning Engineer - US

Description

The company is building a new AI platform for critical workflows used by some of the largest and most regulated organizations in the world.

This senior staff role sets how AI is designed, deployed and trusted across the platform at enterprise scale, where accuracy, auditability, security and reliability matter most.

Responsibilities

• Own the architecture of the company's AI platform and its core AI services.
• Shape how machine learning, generative AI and agentic systems are built into products.
• Lead the move from early adoption to production-grade, enterprise-ready systems.
• Set standards for model serving, retrieval, evaluation, governance and platform reliability.
• Lead the design of agentic systems covering orchestration, workflow execution, memory and multi-agent coordination.
• Design and improve retrieval-augmented generation for enterprise content and knowledge workflows.
• Create evaluation methods and quality frameworks for generative AI applications.
• Assess new AI technologies and set the adoption strategy for the platform.
• Guide technical direction across teams, products and platform domains.
• Mentor staff and senior engineers and raise the technical bar across the organization.
• Work closely with product, security, infrastructure and architecture leaders.
• Build a shared vision for scalable, secure AI across the company.
• Lead secure platform design covering authorization, runtime isolation, governance, auditability and compliance.
• Set best practices for AI safety, model governance and customer data protection.
• Make sure AI systems meet enterprise standards for availability, resiliency, observability and operational support.
• Design for fault tolerance and operational excellence in regulated, security-conscious environments.

Requirements

• Minimum: a bachelor's degree in computer science, engineering or equivalent experience.
• Minimum: 10+ years of software engineering experience, including large-scale SaaS platforms.
• Minimum: 5+ years designing, deploying and operating production ML, AI or data-intensive systems.
• Preferred: experience designing and running enterprise AI platforms, including model serving, evaluation, observability and governance.
• Preferred: deep expertise in RAG, agentic systems and large-scale knowledge systems.
• Preferred: a strong grasp of foundation model ecosystems, including inference, routing, prompting and provider tradeoffs.
• Preferred: experience with AI evaluation, secure AI systems and regulated enterprise environments.
• Preferred: a proven record of leading architecture across multiple teams or platform domains.
• Preferred: strong experience with distributed systems, cloud-native design, APIs, reliability and operational excellence.
• Preferred: expert-level Python and proficiency in at least one production language such as Java, Go, Scala or C++.
• Preferred: a proven record of mentoring senior engineers and technical leaders.

Conditions

Travel is less than 10%.

Reliable internet access is needed for remote work.

Employees may work from an office or remotely from anywhere within their country of employment.

Completing role-specific security and privacy training is required.

The salary range shown is for the US; minimums and maximums may vary by location, and the final offer depends on skills, qualifications, experience and other factors.

Hiring is done without regard to any protected characteristic, including citizenship status, and reasonable accommodations are available to applicants with disabilities.

Benefits

• A discretionary bonus, typically paid annually.
• Restricted Stock Units granted at time of hire.
• A 401(k) match and a comprehensive benefits package.