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General Atomics Aeronautical Systems · 2 days ago

Advanced RF ML Engineer

Poway, CA

Full-time

Onsite

Senior Level

$81K/yr - $142K/yr

5+ years exp

General Atomics Aeronautical Systems, Inc. (GA-ASI) is a world leader in remotely piloted aircraft and tactical reconnaissance radars. They are seeking an experienced Machine Learning Engineer to support system development and write target detection algorithms for RF sensing systems.

EnergyEnergy EfficiencyManufacturingWireless

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

With limited direction, this position exercises considerable latitude in determining technical objectives for the review, research, design, development, and/or solution to advanced technical engineering problem (s)

May function in a project leadership role providing direction and development roadmap to experienced professional staff

Formulates plans, typically long term, for solution(s) development, documentation, and deployment, as well as meeting various compliance, reporting, and safety standards

Evaluates the integration of the engineering solution within the overall engineering environment; and ensures that appropriate documentation, testing, maintenance, and engineering updates completed

Communicates with engineering professionals, solution users, and management throughout the solution development cycle, represents the company as a prime technical contact on contracts and/or projects, interacts with senior external personnel on technical matters requiring coordination between the organizations, and participates in the development of new or expansion of existing business

Determines technical objectives for solution(s) to advanced technical engineering problems

Represents the organization as a prime technical contact within and engineering team for assigned project(s)/program(s)

May function in an advisory or leadership role for a project/program and provide direction and guidance to less experienced professional staff or team of professional staff

Formulates plans and guides the development and implementation of engineering solution(s) including deployment, resource requirements, testing, documentation, integration and compliance and safety

Plans and coordinates the maintenance of engineering solutions including, documentation, reporting, publishing, and making technical and other presentations to ensure viability of the solution(s) in an evolving environment

Plans for future applications of solutions based on new developments in engineering technology

Participates in or may lead the development of new or expansion of existing business opportunities

Maintains the strict confidentiality of sensitive information

Performs other duties as assigned

Responsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company. Expected to work in a safe manner in accordance with established operating procedures and practices

Qualification

Machine LearningRadarData EngineeringPythonArtificial IntelligenceImage ProcessingData Science toolsMLOps conceptsMachine Learning algorithmsC++Linux command lineRobotics conceptsObject Oriented designPerception techniquesProject Leadership

Required

Typically requires a bachelors, masters degree or PhD in computer science, engineering, mathematics, or a related technical discipline from an accredited institution and progressive machine learning engineering experience as follows; five or more years of experience with a bachelors degree or three or more years of experience with a masters degree. May substitute equivalent machine learning engineer experience in lieu of education

Demonstrates a detailed and extensive technical expertise and application of engineering principles, concepts, theory, and practice with the ability to organize, plan, schedule, conduct, and coordinate workloads to meet established deadlines or milestones with some experience in project leadership

Artificial Intelligence, Machine Learning, Radar, Image Processing, Data Engineering, Data Analyst, Perception

Experience with Data Science tools such as Python, Jupyter, Scikit, TensorFlow and PyTorch

Familiarity with standard data pipeline and MLOps concepts (frameworks, formats, labeling, databases and visualization)

Understanding of Machine Learning algorithms and techniques for training and model optimization

Understanding of C++ and Object Oriented design

General understanding of robotics concepts (coordinate systems, kinematics, sensors and Perception techniques)

Experience with the Linux command line

Ability to obtain and maintain a DOD security clearance required