Beacon Biosignals · 2 days ago
Algorithm and Machine Learning Engineer IV/V
Maximize your interview chances
Artificial Intelligence (AI)Health Care
H1B Sponsor Likely
Insider Connection @Beacon Biosignals
Get 3x more responses when you reach out via email instead of LinkedIn.
Responsibilities
Participate in and lead the entire biosignal-based algorithm development lifecycle for medical devices including specifications and requirements gathering, data curation and labeling, development, failure-analysis, production, maintenance, and documentation.
Select, implement, and develop the most appropriate method for each problem, knowing when to apply deep learning techniques and when other methods are more effective.
Enhance our internal deep learning and machine learning tools to boost team efficiency, introduce new model architectures and algorithmic techniques, and refine the codebase to encourage reusability where needed to enable rapid experimentation.
Spread and improve our best practices to ensure algorithm implementations are user-friendly, well-documented, and thoroughly tested, including unit tests, comprehensive documentation, CI, and non-regression testing.
Present results to key stakeholders and assist them in utilizing algorithms for client engagement.
Support the client-facing projects to understand and shape the impact Beacon algorithms have for our customers, both for existing deployed algorithms, and future algorithm development.
Qualification
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
Required
More than 5 years of industry experience in machine learning and deep learning, particularly in health sciences or other regulated fields, with a proven track record of bringing algorithms into production.
Experienced with digital signal processing (DSP) and statistics and care about using the right tool for the job, which in many cases might not be machine learning or deep learning.
Proficient with latest Deep Learning advances (Transformer/ViT, large scale modeling, large model training, ...)
Follow and spread best practices in software and ML engineering, including testing, version control, code reviews, documentation, Dockerization, CI/CD, and experiment tracking.
Thrive in a team environment, recognizing that collaboration, open communication, and continuous feedback are essential for collective success.
Able to distill, discuss, and present complex technical topics in a way that is appropriate for the audience at hand, both internally and externally.
Excited to participate in the entire algorithm development lifecycle, which spans scoping, data wrangling, algorithm development/experimentation, formal validation, quality/regulatory documentation, production deployment, and working with clients who might benefit from these algorithms.
Preferred
Proficient in using PyTorch (preferred) or other deep learning frameworks for training, developing, and deploying deep learning models.
Experienced with biosignals, medical imaging data, or large time-series datasets, or are enthusiastic about learning more in the domain.
Benefits
Swile (Tickets Restaurants)
Gymlib
50% pass Navigo or bike indemnities
Company
Beacon Biosignals
Beacon's goal is to improve human health by applying artificial intelligence to brain activity.
H1B Sponsorship
Beacon Biosignals has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (1)
Funding
Current Stage
Early StageTotal Funding
$30MKey Investors
General Catalyst
2021-11-08Series A· $27M
2019-06-01Seed· $3M
Recent News
BioWorld Financial Watch
2024-12-06
Company data provided by crunchbase