Sr Machine Learning Engineering Manager - AI Quality and Governance

About the Role

For our client, we are seeking a Sr Machine Learning Engineering Manager - AI Quality And Governance to join the team of a leader in the Consumer Technology space. This role will lead work at the intersection of data, AI-enabled capabilities, and scalable technology delivery. You will work across engineering, product, operations, and business stakeholders to translate complex requirements into practical technology solutions. The position offers the opportunity to influence architecture, execution quality, and the technology capabilities that enable long-term growth within a technology-driven environment. Location: Remote - US based candidates only, no visa sponsorship available.

Responsibilities

• Lead, mentor, and develop a multidisciplinary team of engineers
• Build a culture of technical excellence and continuous improvement
• Define and drive a comprehensive quality strategy for AI platforms and products
• Establish measurable quality bars and automated quality gates for AI capabilities
• Lead architecture and delivery of a scalable evaluation platform for generative AI
• Translate Responsible AI principles into practical engineering controls
• Collaborate with cross-functional teams to define quality expectations and roadmaps
• Ensure the evaluation and governance platform is secure, scalable, and reliable

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience)
• 10+ years in software engineering, ML engineering, quality engineering, or related roles, including 4+ years leading an engineering team
• Strong software engineering and systems-design fundamentals, with experience delivering and operating production SaaS or platform capabilities
• Demonstrated experience establishing automated quality practices for distributed, cloud-based products
• Practical understanding of the generative AI development lifecycle and challenges of evaluating nondeterministic systems
• Experience with generative AI concepts: LLMs, RAG, embeddings, vector/hybrid search, agents, tool use, and prompt orchestration
• Experience defining measurable quality criteria using data, experimentation, telemetry, and production signals
• Experience with cloud-native architectures on AWS, Azure, or GCP

Pay

Compensation: $193,000 – $308,000 annually

Benefits

• Discretionary annual bonus
• Restricted Stock Units granted at time of hire
• 401(k) match
• Comprehensive employee benefits package
• Remote work options with reliable internet access

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.