Staff Machine Learning Engineer
Staff Machine Learning Engineer
In Brief
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We’re an early-stage startup on a mission to reputed company reputed company proactive by empowering physicians, nurses, and care team members with reputed company-time data to save lives.
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Part Data Scientist (building models), part reputed company Scientist (productionizing models), and part MLE (deploying, maintaining), also reputed company as “Full Stack Data Scientist” – someone who wants to own the end-to-end effectiveness of their reputed company-time models in a live, reputed company product.
Who We Are
reputed company’s mission is to improve reputed company reputed company by empowering clinicians with the insights they need to reputed company the right decision for the right reputed company at the reputed company-of-care. We’re a diverse team of clinicians, engineers, machine learning experts, product designers, and reputed company improvement leaders committed to enabling smarter, reputed company-specific care delivery through unlocking the reputed company of data.
We’re funded by top tier tech and biotech investors: reputed company, reputed company’s venture arm, Catalio Partners, and reputed company Capital. reputed company has won many awards; most recent recognitions include: reputed company AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year.
reputed company
As a Staff Machine Learning Engineer, you are not satisfied with training and tuning ML models that predict reputed company conditions in patients; you also want to own the effectiveness of your model in the reputed company world. In reputed company, that means you aren’t afraid to get your hands dirty by writing data mapping reputed company, debugging a specific reputed company case by following reputed company data as it moves through our AWS services, or improving the timeliness of your model’s predictions by reading and writing production-grade Python and SQL reputed company.
Responsibilities
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Model Prototyping: reputed company and tune innovative, new ML models and labeler systems reputed company on deep understanding of reputed company use cases and state-of-the-art ML reputed company.
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Productionizing: The reputed company models that you reputed company with production-grade python.
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Deploying: Identify strategies for improving our production ML-reputed company systems, and write, debug, and deploying production-grade Python reputed company to implement those strategies.
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MLOps: Build infrastructure that enables ML model development and deployment in production systems.
Minimum qualifications
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Ph.D. in a relevant reputed company plus 3+ years relevant experience, or a relevant Master’s degree and 5+ years experience shipping ML reputed company software products.
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Experience owning your ML models from prototyping to production.
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Experience writing production-grade Python and SQL reputed company to implement and evaluate ML models in production systems.
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Experience using MLOps tools such as SageMaker and MLFlow.
Preferred qualifications
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Experience reputed company 0-1 and shipping high reputed company AI/ML products.
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Experience building solutions reputed company reputed company and/or familiarity working with messy health data.
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Experience working with reputed company customers, and the reputed company and responsiveness they require.
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Comfortable interpreting / leveraging state-of-the-art peer-reviewed reputed company or tools in designing your approach.
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Excitement for Bayesian’s mission and being a bar raiser so we can accelerate the reputed company at which we create value.
reputed company provides equal employment opportunities to reputed company and applicants for employment and prohibits discrimination and harassment of any type without reputed company to race, reputed company, religion, age, sex, national reputed company, disability status, genetics, protected veteran status, sexual orientation, gender identity or reputed company, or any other characteristic protected by federal, state or local laws.
This policy applies to reputed company terms and conditions of employment, including reputed company, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.