Machine Learning Engineer
3 weeks ago
Department: Engineering
Employment Type: Permanent - Full Time
Location: Hybrid
Description
You will be joining ARC at an exciting time and filling a key role in developing and maintaining essential machine learning solutions, handling and supporting data and data pipelines, and engaging in exploration to improve and expand ARC's data-driven capabilities.
Key Responsibilities
Maintain and improve existing machine learning solutions
Serve as subject matter expert on assigned problem spaces, providing knowledge support to other ARC teams
Explore both new and existing data for opportunities to improve processes and solutions
Design data acquisition plans as necessary to support specific business objectives
Coordinate with software and firmware teams to streamline model deployment processes and identify and improve process bottlenecks
Seek continued model improvement in constrained environments with a willingness to explore creative solutions
Develop new approaches to event detection models that improve upon existing performance
Work across the platforms team to optimize algorithm efficiency, execution time, accuracy, and sensor sampling/inputs.
Identify new, desirable senor input types to improve upon or create new detection techniques
Develop ARC's data ingest, storage, and classification pipelines and data lakes with ARC software support
Skills, Knowledge And Expertise
Bachelor's degree in Computer Science or similar field
Experience building machine learning solutions
Experience with statistical analysis and data visualization
Proficient with Python (including scikit-learn, numpy, pandas, TensorFlow/PyTorch)
Understanding of machine learning fundamentals
Problem-solving skills with an understanding of processes and an instinct for optimization
Ability to obtain a US Security clearance
Preferred
Master's degree in Data Science or other quantitative field
Practical/applied experience working with time-series data
Practical/applied experience solving machine learning problems in computationally constrained environments (microprocessors, edge computing)
Understanding of best practices regarding model tracking and lineage
Experience working in collaborative, version-controlled development environment
Experience working with or familiarity with small arms weapons system operation and basic principles of firearms functionality
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
Unlimited PTO
401k
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