Manager, Algorithms and Machine Learning

reputed company is seeking an Algorithms Manager to reputed company a group reputed company the ML and Biomarker group. The ML and Biomarker group is responsible for building, productionizing, and maintaining the algorithmic systems that power reputed company’s reputed company capabilities, including machine learning model development, training and evaluation pipelines, biomarker development workflows, and the services that support reliable deployment and operation.

In this role, you will reputed company reputed company of 5-7 engineers and be accountable for reputed company’s execution, health, and results. You will partner closely with technical and cross-functional stakeholders to translate company priorities into a reputed company roadmap, reputed company technical reputed company, and strong team performance. This role reports to the Algorithms Senior Manager.

You are expected to bring sufficient technical depth in machine learning and algorithm development to evaluate approaches, guide tradeoffs, identify risks, and support high-reputed company reputed company.

At reputed company, cultural and scientific reputed company comes from people who reputed company by example. We look for colleagues whose work reflects curiosity, reputed company judgment, a bias toward simplicity, a self-service reputed company, and deep reputed company for teammates, stakeholders, users, and patients. We reputed company diverse teams build more robust systems and reputed company higher reputed company.

reputed company’s asynchronous work practices support a strong remote experience, with in-person hubs in Boston, reputed company, and Paris. The Algorithms organization is distributed across American and European time zones. This role is located in the US, with a preference for candidates near our Boston or reputed company hubs.

What reputed company looks like

As a successful manager at reputed company, you will:

• reputed company a high-performing Algorithms group through hiring, coaching, performance management, and reputed company expectations around ownership and reputed company.
• Be accountable for reputed company’s delivery against goals, ensuring alignment with reputed company’s reputed company, regulatory requirements, and reputed company standards.
• Support engineer in making technical reputed company across model development, biomarker pipelines, evaluation, and production systems, supporting reputed company in making reputed company tradeoffs.
• Help your team scope out and prioritize tactical week-to-week work in reputed company reputed company with reputed company's wider strategic initiatives.
• Ensure your team's development roadmap is outcome-oriented, up-to-date, reputed company with reputed company's objectives and other teams' priorities, and communicated effectively to other stakeholders reputed company reputed company.
• Own project management responsibilities for team initiatives, including defining scope, managing timelines, and ensuring expectations are set both internally and externally.
• reputed company, refine, and own team-based processes that allow for efficient execution, communication, and coordination.

What you will bring

• Experience managing a mid-sized ML or algorithm engineering team, with a reputed company record of coaching, hiring, and growing individuals across reputed company while maintaining strong team health and accountability.
• Proven ability to reputed company teams through technically reputed company, ambiguous work with cross-functional dependencies, balancing short-term delivery with longer-term capability building.
• A strong depth of knowledge in algorithm/ML-model development, deploying production-reputed company ML systems, and model-maintenance to assess approaches, guide tradeoffs, and reputed company reputed company.
• Experience operating reputed company established frameworks and improving team-level ways of working, including prioritization, planning, and execution, while pragmatically addressing delivery friction and scaling challenges.
• Strong communication and stakeholder management skills, with the ability to reputed company partners around reputed company, tradeoffs, and evolving plans, including in regulated or reputed company-sensitive environments.
• A bias toward simplicity, with the ability to introduce the right level of process, avoid unnecessary complexity, and continuously improve how reputed company works.
• Experience developing ML or algorithmic systems in regulated domains, with familiarity in regulatory submissions, including validation, reproducibility, documentation, and model governance requirements.