Machine Learning Engineer (Internship)

| Greater NYC Area
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Devron is building the first of its kind decentralized enterprise machine learning platform - with a focus on the cloud. The founding team has worked in entrenched industries where it’s nearly impossible to centralize large datasets due to sensitivity concerns, and our mission is to democratize decentralized data analytics to preserve privacy. We have engineered Devron’s cloud data platform so startups, SMBs, and large enterprises can now finally analyze sensitive consumer data while adhering to regulations, compliance, and privacy standards. Our vision: the very best user experience for an increasingly decentralized data world to tackle the challenges and opportunities of today where privacy is of utmost importance. 


We have a clear vision: to develop a data platform backed with federated machine learning, that makes enterprise analytics affordable, seamless to use, and consistent to current data science experiences. This new innovative paradigm of decentralized machine learning focused on a cloud architecture combines the power of machine learning, modular pipelines, and data silos without worrying about redaction, anonymization, and duplication. We have deployed in several large and sensitive environments, enabling analysts and technologists to build decentralized analytics for end-use applications that touch-sensitive data — globally! 


We are looking for strong technical foundations in data, distributed computing, and software engineering. We take in feedback daily, but simultaneously filter it through our lenses of privacy and security to output the best user experiences for engineers to build decentralized ML models.


You will make an impact on the first of its kind Federated Learning platform in a rapidly growing startup. Working with and joining a talented, close-knit, and dedicated engineering team to drive change and growth.


You will be working directly with our Head of Research and ML Lead to create functionality around Devron's Privacy Preserving Machine Learning system. Working within Devrvon's Federated Learning environment to contribute featurization, model metrics, and Differential Privacy optimizers.

What You'll Do:

  • You'll help Devron deliver high-quality technology products and Federated Machine Learning services
  • Work on one or more projects to develop use cases and models for both internal and external users
  • Collaborate with the research and ML team to create and assess industry-leading models
  • Quickly prototype and iterate to refine and improve projects
  • Write tests and learn how to generally ensure application stability and reliability
  • Optionally work with our impactful team to use our skills to help the world
  • Learn collaboratively with a mentor and hopefully teach us something!
  • Contribute to Devron's community

What You'll Need:

  • Experience in Data Science and Machine Learning, including academic research and development projects
  • You are fluent in any two modern programming languages (Python, Java, Javascript, Go, C++, etc.)
  • You have a strong knowledge base in either Statistics, Economics, Physics, Math, Computer Science, or another relevant field
  • Love of Machine learning including Kaggle style competitions
  • You demonstrate a practical understanding of algorithms, data structures, and design patterns
  • Effective written and verbal communication and collaboration skills
  • Desire to learn and grow as a Machine Learning Engineer

At Devron, we celebrate the diversity of our employees and our leadership. Devron is an equal employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristics protected by law.

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Location

In the Heart of Wall Street, steps from the restaurants and bars of The South Street Seaport and Stone Street. Convenient location for all trains!

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