Senior Machine Learning Engineer

InvestedintheMission; Centreville (VA); On-site; USD 120,000 - 160,000; Full time

Job summary

InvestedintheMission in Centreville, VA, seeks a Senior Machine Learning Engineer to join the LEAP group within AV's MacCready Works. The role focuses on developing computer vision and analytics solutions for defense and commercial use, spanning requirements, design, prototyping, and verification.

The engineer will tackle object detection, classification, localization, and tracking for real-time ATR, combining CV, ML, optimization, and tracking across diverse sensor platforms.

Qualifications

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

Responsibilities

• Support development of computer vision and ML algorithms capable of object detection, classification, localizing, and tracking objects of interest from a variety of sensor platforms with real-time automated target recognition (ATR).
• Perform visual imagery data science to inform data collection, labeling, and data selection for training deep CV ML algorithms, train the algorithms using the data, and validate data selection and algorithm design through experiments.

Skills

Computer vision

Machine learning

Optimization

Deep convolutional neural networks

Visual tracking

Job description

Worker Type

Regular

Job Description

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

Summary

The Senior Machine Learning Engineer will be a member of the Learning and Active Perception (LEAP) group in AV's MacCready Works division and develop a variety of innovative computer vision (object detection, classification, localization, and tracking) and other analytics solutions for defense and commercial applications. These development efforts will require a range of skills and tools across traditional engineering, computer science, and mathematical disciplines including but not limited to computer vision, machine learning, optimization, deep convolutional neural networks, and visual tracking. This position will work on all stages of development including requirements definition, concept design, prototyping, detailed design, test and evaluation, and validation and verification testing.

Position Responsibilities

• Support development of computer vision and machine learning (ML) algorithms capable of object detection, classifying, localizing, and tracking objects of interest from a variety of stationary and mobile sensor platforms with the primary purpose of real-time automated target recognition (ATR)
• Perform visual imagery data science to inform data collection, data labeling, and data selection for training deep computer vision ML algorithms, train the algorithms using the data, and validate data selection and algorithm design through a series of purpose-designed experiments. This includes:
  • Analyze ML algorithms to solve a given problem and