Manager, Algorithms and Machine Learning (AI/ML)

TL;DR

Manager, Algorithms and Machine Learning (AI/ML): Lead a team of engineers building, productionizing, and maintaining ML models, biomarker development workflows, and deployment services for an EEG-based precision medicine platform with an accent on regulatory compliance and scalable systems. Focus on guiding technical tradeoffs, roadmap planning, and ensuring delivery against strategic goals in a regulated environment.

Location: Remote (US), preference for candidates near Boston or New York hubs. Distributed across American and European time zones.

Salary: $180,000–$200,000

Company

Leading at-home EEG platform supporting clinical development for neurological, psychiatric, and sleep disorders with FDA-cleared hardware and AI algorithms.

What you will do

• Lead a high-performing team of 5-7 engineers through hiring, coaching, performance management, and clear ownership expectations.
• Drive team delivery against goals, aligning with company strategy, regulatory requirements, and quality standards.
• Guide technical decisions on model development, biomarker pipelines, evaluation, and production systems.
• Scope, prioritize, and manage team initiatives, including roadmaps, timelines, and stakeholder communication.
• Develop and refine team processes for efficient execution, coordination, and scaling.

Requirements

• Located in the US, with preference for near Boston or New York.
• Experience managing mid-sized ML/algorithm engineering teams, with track record in coaching, hiring, and maintaining team health.
• Deep knowledge in ML model development, production deployment, and model maintenance to guide decisions and tradeoffs.
• Proven leadership in complex, ambiguous work with cross-functional dependencies in regulated domains.
• Strong communication, stakeholder management, and process improvement skills.
• Experience with regulatory submissions, validation, reproducibility, documentation, and model governance.

Culture & Benefits

• Asynchronous work practices supporting strong remote experience with in-person hubs in Boston, New York, and Paris.
• Culture emphasizing curiosity, sound judgment, simplicity, self-service mindset, and empathy.
• Total compensation includes equity, PTO, and other benefits.
• Diverse teams building robust systems for high impact.