Manager of Algorithms and Machine Learning, Beacon Biosignals
$180-200k
+ Equity
More information about location
AI brain monitoring
Open for applications
AI brain monitoring
101-200 employees
Open for applications
$180-200k
+ Equity
More information about location
101-200 employees
Company mission
To improve human health by enabling rapid, targeted interventions through advanced brain analytics.
Role
Who you are
- You are expected to bring sufficient technical depth in machine learning and algorithm development to evaluate approaches, guide tradeoffs, identify risks, and support high-quality decisions
- At Beacon, cultural and scientific impact comes from people who lead by example. We look for colleagues whose work reflects curiosity, sound judgment, a bias toward simplicity, a self-service mindset, and deep empathy for teammates, stakeholders, users, and patients. We believe diverse teams build more robust systems and achieve higher impact
- Experience managing a mid-sized ML or algorithm engineering team, with a track record of coaching, hiring, and growing individuals across levels while maintaining strong team health and accountability
- Proven ability to lead teams through technically complex, 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-ready ML systems, and model-maintenance to assess approaches, guide tradeoffs, and make sound decisions
- Experience operating within 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 align partners around decisions, tradeoffs, and evolving plans, including in regulated or quality-sensitive environments
- A bias toward simplicity, with the ability to introduce the right level of process, avoid unnecessary complexity, and continuously improve how the team works
- Experience developing ML or algorithmic systems in regulated domains, with familiarity in regulatory submissions, including validation, reproducibility, documentation, and model governance requirements
What the job involves
- In this role, you will lead a team of 5-7 engineers and be accountable for the team’s execution, health, and results. You will partner closely with technical and cross-functional stakeholders to translate company priorities into a clear roadmap, sound technical decisions, and strong team performance. This role reports to the Algorithms Senior Manager
- Lead a high-performing Algorithms group through hiring, coaching, performance management, and clear expectations around ownership and impact
- Be accountable for the team’s delivery against goals, ensuring alignment with Beacon’s strategy, regulatory requirements, and quality standards
- Support engineer in making technical decisions across model development, biomarker pipelines, evaluation, and production systems, supporting the team in making sound tradeoffs
- Help your team scope out and prioritize tactical week-to-week work in direct connection with Beacon's wider strategic initiatives
- Ensure your team's development roadmap is outcome-oriented, up-to-date, aligned with the company's objectives and other teams' priorities, and communicated effectively to other stakeholders within Beacon
- Own project management responsibilities for team initiatives, including defining scope, managing timelines, and ensuring expectations are set both internally and externally
- Develop, refine, and own team-based processes that allow for efficient execution, communication, and coordination
Our take
The brain has long been considered one of the most mysterious fields of medicine - and psychiatric and neurological diseases therefore one of the least understood. Better access to real-time brain data, however, could change this and that’s exactly what Beacon Biosignals is hoping to deliver.
Beacon Biosignals has developed an AI-powered EEG platform designed to better measure and understand brain activity. Its technology includes a lightweight wearable headband that tracks brain signals during sleep and at home, feeding huge amounts of real-world data into machine-learning models. The aim is to help researchers analyze brain activity faster, identify new biomarkers, and improve the development of treatments for neurological and psychiatric disorders.
The company recently raised major funding and acquired home sleep testing specialist CleveMed as it expands its AI-powered brain health platform. Its FDA-cleared wearable headband is already being used in more than 40 clinical trails studying conditions like depression, Alzheimer's, Parkinson's, and sleep disorders. By collecting millions of hours of brain activity data, Beacon hopes to help researchers detect diseases earlier and better understand how the brain changes over time.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
40% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Apr 2026
$11m
SERIES B
Nov 2025
$86m
SERIES B
Total funding: $127.5m
Company HQ
Beacon Hill, Boston, MA
Leadership
Jarrett Revels
(Co-Founder & CTO)Prior to co-founding Beacon Biosignals in 2019, Jarrett spent 4 years at Massachusetts Institute of Technology, joining as a Scientific Programmer before become a Performance Engineer then Research Software Developer.
Jacob Donoghue
(Co-Founder & CEO)Jacob completed a Neuroscience PhD at Massachusetts Institute of Technology, and received his MD from Harvard Medical School. Subsequently they carried out research for Cyberkinetics Neurotechnology Systems and Massachusetts General Hospital.
Brandon Westover
(Co-Founder)Received their MD from Washington University School of Medicine, then took up a Neurology residency at Harvard Medical School. Alongside their work at Beacon Biosignals, Brandon is also an HST Faculty member at MIT and a Neurologist/Medical AI Researcher at Massachusetts General Hospital.
Syd Cash
(Co-Founder)Syd is an Associate Professor at Harvard Medical School, who also leads the Center for Neurotechnology and Neurorecovery at MGH.
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