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Machine Learning Engineer

New York City, New York, United States
December 08, 2018


This is a direct-client opening for a Machine Learning Engineer located in NYC, NY, Richmond, VA or Vienna, VA - This is a Full-Time Position

What you will bring to the role:

Excellent communication skills evidenced by multiple white papers (internal proprietary or externally published).

Demonstrated ability to build full stack systems architected for speed and distributed computing.

Demonstrated ability to quickly learn new tools and paradigms to deploy cutting edge solutions.

Experience mentoring junior engineers.

Adept at simultaneously working on multiple projects, meeting deadlines, and managing expectations.

What you will do in the role:

Act as an advisor to various lines of business to help create or improve projects.

Develop both deployment architecture and scripts for automated system deployment in AWS.

Code new machine learning paradigms, sometimes from first principles, for integration into production systems.

Learn and work with subject matter experts to create large scale deployments using newly researched methodologies.

Construct data staging layers and fast real-time systems to feed machine learning algorithms.

Create white papers, attend conferences, and contribute to open source software.

Basic Qualifications:

Bachelor’s Degree or Military Experience

At least 2 years of experience designing and building full stack solutions utilizing distributed computing.

At least 2 years of experience working with Python, Scala, or Java.

At least 2 years of experience with distributed file systems or multi-node database paradigms.

Preferred Qualifications:

Master’s Degree or PhD

At least 2 years of experience deploying production applications to a cloud services provider, such as AWS.

At least 2 years of experience with machine learning or deep learning frameworks, such as TensorFlow, PyTorch or H2O.

At least 2 years of experience with distributed data movement frameworks, such as Spark, Kafka, or Dask.

At least 3 years of experience with a container orchestration platform, such as Kubernetes.

At least 5 years of experience with CI/CD technologies, such as Ansible, Cloud Formation, or Jenkins.

At least 5 years of experience leading teams in code development