Manager of Algorithms and Machine Learning, Beacon Biosignals
$180-200k
+ Equity
More information about location
AI brain monitoring
Be an early applicant
AI brain monitoring
21-100 employees
Be an early applicant
$180-200k
+ Equity
More information about location
21-100 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. That’s exactly what Beacon Biosignals is hoping to deliver.
Beacon Biosignals has developed a scalable electroencephalogram (EEG) analytics platform that leverages AI to more accurately and insightfully manage brain data. Its capabilities run from analysing existing data, to identifying and standardising neorobiomarkers, to continuously aggregating and analysing trial data.
The hope is that this will help clinical brain researchers carry out faster and more accurate work, ultimately accelerating the pace of treatment development in neurology. It’s a smart new AI application, and Beacon Biosignals is acquiring new companies to scale and receiving handsome funding - but for that reason the company isn’t alone in pursuing it. Bitbrain is also developing neurology AI, although with a tighter focus on product development. This may help differentiate Beacon Biosignals in what is still a relatively new market area.
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)Previously a Software Engineer at MissionFocus, who then moved into various engineering and research roles at MIT.
Jacob Donoghue
(Co-Founder & CEO)Completed a Neuroscience PhD at MIT, and received his MD from Harvard Medical School. Subsequently carried out research for Cyberkinetics Neurotechnology Systems and Massachusetts General Hospital.
Brandon Westover
(Co-Founder)Received his MD from Washington University School of Medicine, then took up a Neurology residency at Harvard Medical School. Alongside his work at Beacon Biosignals, is also an HST Faculty member at MIT and a Neurologist/Medical AI Researcher at Massachusetts General Hospital.
Syd Cash
(Co-Founder)An Associate Professor at Harvard Medical School, who also leads the Center for Neurotechnology and Neurorecovery at MGH.
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