Lead Machine Learning Engineer

AV; Centreville (VA); On-site; USD 150,000 - 210,000; Full time

Job summary

AV’s LEAP group in the MacCready Works division seeks a Lead Machine Learning Engineer to guide ML/CV efforts and mentor junior engineers. You will lead end-to-end development across design, prototyping, testing, and integration for defense and commercial projects.

The role emphasizes hands-on implementation in PyTorch/OpenCV, collaboration across teams, and scalable ML solutions for complex perception tasks.

Qualifications

• 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.
• Advanced degree preferred.

Responsibilities

• Lead the design and development of computer vision and machine learning (ML) algorithms to address wide range of technically challenging problems, including detection, classification, localization, and tracking objects from various sensor platforms.
• Maintain awareness of relevant academic literature, commercial products, and open source projects to keep solutions cutting edge.
• Advise on and support design of software infrastructure and DevOps processes to support ML needs.
• Implement ML algorithms and validate designs through designed experiments.
• Analyze ML algorithms and errors of trained models and design strategies to overcome them.
• Select appropriate datasets and data representations; supervise data acquisition if required.
• Coordinate activities of others and manage resources to meet deadlines.
• Other duties as assigned.

Skills

C/C++

Python

PyTorch

OpenCV

Linux

ONNX

scikit-learn

pandas

Computer Vision

Machine Learning

Education

Bachelor's degree in CS/Engineering/Math/Physics

Advanced degree preferred

Tools

PyTorch

OpenCV

Job description

Worker Type

Regular

Job Description

NOTE: to qualify for this role, you must be a U.S. Citizen

Summary

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.

Position 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 teams as required
• Other duties as assigned

Basic Qualifications (Required Skills & Experience)

• 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.
• Advanced degree preferred.

• Minimum of 8-12 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

Other Qualifications & Desired Competencies

• 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