The Team

The Applied ML/AI Algorithms team leads the development of advanced algorithmsthat power BDAdvanced PatientMonitoring’snext generation of clinically impactful products. We focus on transforming physiological signal data into actionable insights that improve patient monitoring, enable earlier intervention, and drive better outcomes.

This teamoperatesat the intersection of research, product, and clinical translation. We partner closely with engineering, clinical, regulatory, and product teams to bring AI/ML innovations from concept to FDA-cleared, production-grade solutions.

We emphasize rigorous science, practical product thinking, and a shared commitment to improving patient outcomes—accelerating innovation without compromising quality or clinician trust.

The Role

We are seeking a Senior Principal Engineer to lead the development and deployment of advanced ML/AI models, including multimodal and foundation-model–inspired approaches, for physiological signal understanding and clinical decision support.

This is a senior individual contributor role with significant technical leadership responsibility. You will drive end-to-end development—from algorithm design and modeling innovation throughproductionizationin regulated environments—translating research-grade models into robust systems that meet real-world clinical constraints and needs.

Beyond individual contributions, you will play a critical leadership role in shaping technical direction, mentoring engineers, and elevating the team’s engineering maturity. You will help define and build scalable experimentation pipelines, reproducible workflows, andMLOpspractices that accelerate iteration while ensuring rigor and regulatory readiness.

You will partner closely with data, product, and clinical teams to bridge the gap between research and product—building solutions that deliver meaningful, real-world clinical impact.

Responsibilities

• Lead the development of AI/ML algorithms from early exploration through production, driving clinically impactful outcomes

• Set technical direction across projects, influencing strategy across modeling, data, and product design

• Translate clinical and product needs into scalable, real-world AI/ML solutions

• Architect solutions that are reliable, efficient, and deployable in regulated, production environments

• Build and scale experimentation andMLOpsinfrastructure to accelerateteam’svelocity

• Mentor engineers and elevate the technical bar across the organization

• Partner with clinical, regulatory, and engineering teams to bring AI/ML solutions to market

About You(Requirements)

• PhD with4+ years or MS with7+ yearsor BS with 8+ yearsof experiencein AI/ML, data science, or software engineering

• Experience building andputting into productionapplied AI, machine learning, LLM/LMM, agentic, or other decision or recommendation systems

• Proven technical leader who can drive ambiguous, high-impact initiatives and influence directionwithin andacrosscross-functionalteams

• Strong product judgment—able to balance speed, complexity, and real-world impact

• Deepexpertisein modern ML/DL/AI frameworkswith experience building robust, scalable models for deployment across cloud and/or edge/embedded environments in partnership with systems engineering

• Experience designing robust evaluation frameworks and working with real-world, imperfect data

• Track recordof mentoring engineers and shaping engineering practices

• Motivated by applying AI to solve meaningful healthcare problems

Bonus

• Experience with clinicaldecision supportandphysiological ormedicaltime-series data

• Familiarity with clinical workflows or patient monitoring

• Experience with FDA or regulated development environments

• Experience building data platforms or feature stores to support scalable ML development and experimentation

• Contributions to research, open source, or industry thought leadership