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Machine Learning Engineer II

Job in Minneapolis, Hennepin County, Minnesota, 55400, USA
Listing for: AV
Full Time position
Listed on 2026-05-30
Job specializations:
  • Engineering
    Computer Science
  • IT/Tech
    Machine Learning/ ML Engineer, Computer Science
Salary/Wage Range or Industry Benchmark: 102000 - 144375 USD Yearly USD 102000.00 144375.00 YEAR
Job Description & How to Apply Below

Summary

The Machine Learning Engineer II will be a member of the Learning and Active Perception (LEAP) group in AV’s Mac Cready Works division. The role focuses on developing innovative computer vision detection, classification, localization, and tracking solutions for defense and commercial applications. It requires skills across traditional engineering, computer science, and mathematics, including deep convolutional neural networks, visual tracking, and optimization.

The engineer will contribute at all stages of development—from requirements definition and concept design to prototyping, detailed design, testing, evaluation, and validation and verification testing.

Responsibilities
  • Support development of computer vision and machine learning algorithms capable of detection, classification, localization, and tracking of objects from stationary and mobile sensor platforms.
  • Implement ML algorithms and validate designs through purpose‑designed experiments.
  • Analyze ML algorithms to solve given problems and rank them by success probability on new data.
  • Set objectives and develop models that help achieve them, along with metrics to track progress.
  • Select appropriate datasets and data representations.
  • Analyze model errors and design strategies to overcome them.
  • Write and test software to support integration of machine learning algorithms into aircraft systems or other functional components.
  • Other duties as assigned.
Basic Qualifications
  • Bachelor of Science in Computer Science/Engineering, Mathematics, Physics, or a related Science or Engineering discipline.
  • Minimum of 2–5 years of relevant experience in machine learning and/or computer vision.
  • Familiarity with C/C++ or Python.
  • Demonstrated ability to troubleshoot complex systems.
  • Proficiency with a deep learning framework such as Tensor Flow or Keras.
  • Proficiency with basic libraries for machine learning such as scikit‑learn and pandas.
  • Proficiency with OpenCV.
  • Familiarity with Linux.
  • Experience visualizing and manipulating large datasets.
  • Exploratory data analysis and predictive analytics skills.
Other Qualifications & Desired Competencies
  • Familiarity with office software and computer‑based productivity tools.
  • Ability to work within defined requirements to complete tasks with moderate supervision.
  • Team player who collaborates effectively.
  • Excellent verbal and written communication skills.
  • Strong problem‑solving, analytical, interpersonal, and communication skills.
  • Ability to excel in a fast‑paced, deadline‑driven environment.
  • Displays strong initiative and drive to accomplish goals and meet company objectives.
  • Takes ownership and responsibility for current and past work products.
  • Committed to learning from mistakes and driven to improve performance of oneself, others, and the company.
  • Focuses on teamwork and puts the success of the team above one's own interests.
Physical Demands
  • Required to work in an office environment (constant).
  • Required to sit and stand for long periods; use hands and fingers to operate a computer and telephone keyboard (frequent).
Benefits

AV offers an excellent benefits package including medical, dental, vision, 401K with company matching, a 9/80 work schedule, and a paid holiday shutdown.

Salary Range

$102,000 - $144,375

Citizenship & ITAR

Must be a U.S. citizen, lawful permanent resident, or protected individual. This position requires ITAR compliance; candidates must qualify as a U.S. person under ITAR/EAR.

EEO Statement

We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. Aero Vironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data, sexual orientation, gender identity or other legally protected status.

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