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    Senior Software Engineer, Full Stack - Cambridge, United States - Hack VC

    Hack VC
    Hack VC Cambridge, United States

    1 week ago

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    Description
    We're looking for a

    Senior Software Engineer

    to help us build the environment that powers the next era of life-saving treatments for patients.

    Our software engineers work side-by-side with our machine learning engineers, computational chemists, and medicinal chemists to achieve drug discovery objectives, spanning our entire tech stack.

    We are looking for mission-driven individuals that are capable of rapidly bringing ideas from 0 to 1 and eager to apply software engineering skills to life-saving cures.

    If you enjoy challenges like the ones below, we'd love to hear from you

    Architecting a Django REST-driven internal application development ecosystem that supports multiple drug development programs.
    Building performant software for billion-scale molecular analyses alongside machine learning engineers.
    Owning and leading code deployments, testing, and maintenance.
    Designing and implementing front-end interfaces that enable our in-house chemistry team to interface with software.

    Connecting Docker-based microservices and serverless scripts to enable automated dataset ingestion pipelines that speed up the pace of model development and serving.

    Leading a team of software engineers in adopting industry best-practices for web technologies.
    Designing data APIs to power machine learning models, visualization tools, and chemistry software.
    We don't have a hard set of background requirements, but generally we most value skills and experience in the following areas:

    We are ideally looking for folks with 5+ years of industry experience.

    Python development:
    Strong experience building production systems in Python, especially in a microservices or serverless environment.

    Containerization:
    Experience in using Docker and Kubernetes to containerize and launch microservices. ML-specific experience not required or expected.
    Web development experience - Ability to rapidly prototype and launch internal-facing web applications using frameworks like Django.

    ML in Production:
    Knowledge of best-practices for building automated data ingestion and model deployment pipelines

    Most importantly, an eagerness to learn new skills, wear many hats, and collaborate closely with a growing team of people.

    #J-18808-Ljbffr
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