Machine Learning Engineer

Full Time
Remote
Posted
Job description

Description


You will be joining ARC at an exciting time and filling a key role in developing critical enterprise infrastructure to facilitate and support the development and deployment of machine learning and artificial intelligence solutions to support ARC’s expanding product line.

This is a currently contingent position.


Key Responsibilities

  • Take lead on design, development, and deployment of machine learning solutions: you will have a significant role in shaping the architecture we implement.
  • Act as primary liaison between data science team and software team, ensuring data and machine learning features are integrated into existing tech stack smoothly
  • Assist with version control and artifact storage for experiments and production models
  • Develop custom tools as needed to support and optimize machine learning operations
  • Develop and maintain performance monitoring and alerting for deployed models
  • Develop best practices for optimizing inference in both cloud and edge environments

Skills, Knowledge and Expertise


Required:
  • Bachelor’s degree in Computer Science or similar field
  • 2+ years of experience working in collaborative, version controlled development environment
  • 2+ years of experience working with deployed machine learning solutions
  • Experience with cloud computing (AWS preferred)
  • Proficient with Python (including TensorFlow and sklearn)
  • Familiar with containerization
  • Problem-solving skills with an understanding of processes and an instinct for optimization
Desired:
  • Masters degree in Computer Science, Data Science, Systems Engineering, or similar field
  • Experience designing cloud service machine learning solutions
  • Experience with deploying machine learning models to microprocessors
  • Understanding of best practices regarding model tracking and lineage
This position will require access to restricted information and facilities protected under U.S. laws and regulations, including the National Industrial Security Program Operating Manual (NISPOM). Please note that any offer for employment will be conditioned on any required authorization to receive access to such restricted information and facilities necessary to perform the responsibilities of the position.
Citizenship Verification: This position requires verification of U.S. Citizenship to meet federal government security screening requirements required for this role. The successful candidate must be a U.S. Citizen and otherwise eligible to obtain access to classified information and facilities necessary to perform the responsibilities of the position.


Benefits


Employer paid medical, dental & vision insurance
Unlimited PTO
Equity Options
401k


About Armaments Research Company, Inc.


Armaments Research Company (ARC) is a startup dedicated to bringing real time
situational awareness and battlefield logistics capabilities to both the DoD and law enforcement personnel. You will be an integral part of the ARC team, and will be creating innovative and powerful IoT devices that feed data to the ARC technology stack. Our core offering is an embedded device designed in-house that pushes real time data to the cloud and back down to tactical users on a mobile android device. The information our device provides enables battlefield/tactical awareness that does not exist today. ARC technologies were initially developed in support of the US Defense Advanced Research Projects Agency (DARPA) and the National Science Foundation (NSF) and leverage internet-of-things (IoT) technology and machine learning (ML) to develop actionable insights and transform security responses.
ARC’s core technology gathers data related to key weapon platform outputs which requires a suite of sensors that are transparent to the end user. The ARC products enable aggregated insights over big data sets that will be used to save lives on the frontline. This novel technology is deployed at scale on US Military and Law Enforcement weapons to enhance safety, decision making, and transparency for ground personnel.

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