AeroVironment

Lead Machine Learning Engineer

AeroVironment • $158K — $241K *
Aerospace & Defense
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science, engineering, mathematics, physics, or related field with 5+ years of experience in machine learning/computer vision.
  • Advanced degree preferred.
  • 10-12 years of relevant experience required.
  • Proficiency in C/C++ or Python is essential.
  • Experience with deep learning frameworks, preferably PyTorch, and libraries like scikit-learn and pandas.
  • Familiarity with OpenCV and Linux is necessary.
  • Expertise in visualizing and manipulating large datasets.

Responsibilities

  • Lead the design and development of computer vision and ML algorithms for complex detection and tracking problems.
  • Stay updated on academic literature and commercial products to maintain cutting-edge solutions.
  • Advise on software infrastructure and DevOps processes for ML.
  • Implement and validate ML algorithms through targeted experiments.
  • Analyze ML algorithms and develop strategies to address model errors.
  • Select datasets and supervise data acquisition as needed.
  • Manage resources and coordinate team activities to meet deadlines.

Benefits

  • Comprehensive medical, dental, and vision coverage.
  • 401K plan with company matching.
  • Flexible 9/80 work schedule.
  • Paid holiday shutdown.
Full 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 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 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


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 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


Physical Demands
  • Ability to work in an office environment (Constant)
  • Required to sit and stand for long periods; talk, hear, and use hands and fingers to operate a computer keyboard (Frequent)


Special Requirements
  • U.S. Citizenship required
  • Active Secret level DoD security clearance with the ability to obtain a TS/SCI clearance
  • Willingness and ability to travel (Occasionally / Up to 20%)


Clearance Level

No Clearance

The salary range for this role is:
$158,000 - $241,000

AeroVironment considers several factors when extending an offer, including but not limited to, the location, the role and associated responsibilities, a candidate's work experience, education/training, and key skills.

ITAR Requirement:

This position requires access to information that is subject to compliance with the International Traffic Arms Regulations ("ITAR") and/or the Export Administration Regulations ("EAR"). In order to comply with the requirements of the ITAR and/or the EAR, applicants must qualify as a U.S. person under the ITAR and the EAR, or a person to be approved for an export license by the governing agency whose technology comes under its jurisdiction. Please understand that any job offer that requires approval of an export license will be conditional on AeroVironment's determination that it will be able to obtain an export license in a time frame consistent with AeroVironment's business requirements. A "U.S. person" according to the ITAR definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee or asylee. See 22 CFR § 120.15. Some positions will require current U.S. Citizenship due to contract requirements.

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. For more information about our company benefit offerings please visit: http://www.avinc.com/myavbenefits.

Principals only need apply. NO agencies please.

About AeroVironment

Size
1,214 employees
Market Cap
$2 billion
Industry
Net Income
$29.8 million
Founded
1971
5 Year Trend
+13.8%
Revenue
$394.1 million
NASDAQ

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