Senior Software Engineer, Backend
February 29
🏢 In-office - Manhattan
Description
• Developing data infrastructure to ingest, sanitize and normalize a broad range of medical data, such as electronics health records, journals, established medical ontologies, crowd-sourced labelling and other human inputs • Building performant and expressive interfaces to the data • Creating infrastructure to help us not only scale up data ingest, but large-scale cloud-based machine learning
Requirements
• 5+ years of software engineering experience in a company/production setting • Knowledge of algorithms, data structures and systems design • Experience building data pipelines from disparate sources • Hands-on experience building and scaling up compute clusters • A solid understanding of databases and large-scale data processing frameworks like Hadoop or Spark and the ability to evaluate which tools to use on the job • A unique combination of creative and analytic skills apt of designing a system capable of pulling together, training, and testing dozens of data sources under a unified ontology • A desire to collaborate in office 3 days weekly • Bonus points if you have: - Know-how of developing systems to do or support machine learning, including experience working with NLP toolkits like Stanford CoreNLP, OpenNLP, and/or Python’s NLTK - Expertise with wrangling healthcare data and/or HIPAA - Experience with managing large-scale data labelling and acquisition, through tools such as through Amazon Turk or DeepDive
Benefits
• Unlimited Vacation + Sick Days • Medical/Dental/Vision Coverage • 401k
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