MLOps Engineer III/IV @ Beacon Biosignals | Jobright.ai
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Beacon Biosignals · 5 days ago

MLOps Engineer III/IV

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Artificial Intelligence (AI)Health Care
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Responsibilities

Build high-quality, composable tooling that enables algorithms engineers to experiment faster and more efficiently.
Develop distributed machine learning pipelines and tooling that support training and evaluation of deep learning models on large datasets.
Build tooling that allows algorithm development teams to deploy their models into production, and monitor those models as new data flows in.
Develop human annotation workflows that enable efficient high-volume collection of labels for model training and evaluation.
Automate performance analysis and reporting, for both internal (e.g. algorithms teams, executives) and external audiences (e.g. pharma clients, FDA).
Develop tooling for efficient dataset curation, versioning, and access to enable reproducible research.
Collaborate closely with teams of engineers, data scientists, and neuroscientists to understand workflow pain-points and inefficiencies that can be resolved with better tooling and processes.

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.

Cloud infrastructureMachine learning deploymentJuliaPythonSignal processingStatisticsOptimizationTime series dataDockerKubernetes (K8s)HelmWorkflow orchestration toolsKafkaSQLGraphQLGitHub Actions

Required

You're comfortable building cloud infrastructure for training and evaluating models on large datasets.
You have experience setting up and maintaining the infrastructure required for serving ML models, and have worked with teams to deploy their models into production.
You have experience with scientific computing in Julia or Python, and writing efficient, maintainable, composable packages in at least one of these languages.
You have basic knowledge of machine learning, signal processing, statistics, and/or optimization.
You're excited to work with large-scale time series biosignal data (e.g. EKG, actigraphy, EEG, polysomnography, etc.).
You're excited to build efficient human-in-the-loop labeling workflows to enable large-scale training data collection.
You're familiar with or excited to work in an environment that makes heavy use of Julia, Python, Docker, K8s, Helm, workflow orchestration tools (e.g. Argo, Airflow, Ray), Kafka, SQL, GraphQL, and GitHub Actions.
You have excellent verbal/written communication and presentation skills.
You're comfortable working in a highly asynchronous hybrid environment, and have demonstrated success doing so in the past.
Approximate experience: PhD + 1-4 years experience, Master's + 3-7 years experience, Bachelor's + 4-9 years experience, or other comparable experience.

Company

Beacon Biosignals

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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 Stage
Total Funding
$30M
Key Investors
General Catalyst
2021-11-08Series A· $27M
2019-06-01Seed· $3M

Leadership Team

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Christine Vietz
Chief R&D Officer
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