Lead Machine Learning Engineer

AeroVironment•Centreville, VA

1d•$158,000 - $241,000•Onsite

About The Position

The Lead Machine Learning Engineer will be a strong individual contributor and technical leader in the Learning and Active Perception (LEAP) group in AV’s MacCready Works division and oversee the development of a variety of innovative computer vision and related analytics for defense and commercial applications. As an experienced machine learning engineer, IV will also mentor more junior engineers. Development efforts will require a range of skills and tools across traditional engineering, computer science, and mathematical disciplines including computer vision, machine learning, optimization, deep convolutional neural networks, visual transformers, and visual tracking. This position requires interacting with other teams within and outside the LEAP group and will encompass all stages of the development cycle including requirements definition, concept design, prototyping, detailed design, test and evaluation, and validation and verification testing.

Requirements

Bachelor’s degree in computer science/engineering, Mathematics, Physics, or related Science or Engineering discipline with 5+ years of relevant experience in machine learning and/or computer vision.
Minimum of 10 - 12 years of relevant experience
Familiarity with C/C++ or Python required
Demonstrated ability to design, implement, and troubleshoot complex systems
Proficiency with a deep learning framework, preferably PyTorch
Proficiency with basic libraries for machine learning such as scikit-learn and pandas
Proficiency with OpenCV
Proficiency with Linux
Familiarity with ML standards such as ONNX
Ability to select hardware for specific ML applications
Expertise in visualizing and manipulating big datasets
U.S. Citizenship required
Active Secret level DoD security clearance with the ability to obtain a TS/SCI clearance

Nice To Haves

Advanced degree preferred.
Experience working with DoW and Intelligence Community (IC) organizations on advanced technology, research, or AI/ML initiatives
Familiarity working in classified spaces
Familiarity with office software and computer-based productivity tools
Ability to work within defined requirements to complete tasks under minimal supervision
Must be a team player and exhibit leadership qualities
Excellent verbal and written skills
Has effective problem-solving, analytical, and interpersonal skills
Able to excel in a fast-paced, deadline-driven environment, where small teams share a broad variety of duties
Displays strong initiative and drive to accomplish goals and meet company objectives
Takes ownership and responsibility for current and past work products
Is committed to learning from mistakes and driven to improve and enhance performance of oneself, others, and the company
Has effective problem-solving, analytical, interpersonal and communication skills
Focuses on teamwork, collaboration and puts the success of the team above one's own interests

Responsibilities

Lead the design and development of computer vision and machine learning (ML) algorithms to address wide range of technically challenging problems, including but not limited to detection, classifying, localizing, and tracking objects of interest from a variety of stationary and mobile sensor platforms.
Maintain awareness of relevant academic literature, commercial products, and open source projects to ensure our technical solutions remain at the cutting edge
Advise on and support design of software infrastructure and DevOps processes to support ML needs
Implement ML algorithms and validate designs through a series of purpose-designed experiments
Analyze ML algorithms and errors of the trained models, design strategies to overcome them
Select appropriate datasets and data representations; supervise data acquisition process if required
Manage available resources such as hardware, data, and personnel so that deadlines are met; coordinate activities of others (Team Lead) and between Other duties as assigned