Asks for

The ad says“Strong background in machine learning including model selection, architecting, training, validation, testing, and deployment”
The ad says“Software engineering fundamentals: version control, testing, CI/CD, containerization”
The ad says“Experience in building deep learning neural network for computer vision, image processing, or video analysis (e.g., object detection, image segmentation, and tracking)”
The ad says“Software engineering fundamentals: version control, testing, CI/CD, containerization”
The ad says“Experience in building deep learning neural network for computer vision, image processing, or video analysis (e.g., object detection, image segmentation, and tracking)”
The ad says“Strong background in machine learning including model selection, architecting, training, validation, testing, and deployment”
The ad says“Experience in building deep learning neural network for computer vision, image processing, or video analysis (e.g., object detection, image segmentation, and tracking)”
The ad says“Strong math background, particularly linear algebra”
The ad says“Strong background in machine learning including model selection, architecting, training, validation, testing, and deployment”
The ad says“Strong background in machine learning including model selection, architecting, training, validation, testing, and deployment”
The ad says“Proficiency in Python”
The ad says“Strong background in machine learning including model selection, architecting, training, validation, testing, and deployment”
The ad says“Strong background in machine learning including model selection, architecting, training, validation, testing, and deployment”
The ad says“Strong background in machine learning including model selection, architecting, training, validation, testing, and deployment”
The ad says“Software engineering fundamentals: version control, testing, CI/CD, containerization”
The ad says“Experience in building deep learning neural network for computer vision, image processing, or video analysis (e.g., object detection, image segmentation, and tracking)”

ABOUT ROCKET LAB

Rocket Lab is the end-to-end space company building rockets, spacecraft, and critical subsystems that keep the world connected, protected, expand humanity’s reach to the Moon, Mars, and beyond. We move fast, build real hardware for meaningful missions, and make the impossible routine. Come shape the future with us.

SPACE SYSTEMS

Rocket Lab’s Space Systems division builds complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space including solar panels, flight software, star trackers, optical systems, separation systems, and radios.

The Space Systems division has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. We have built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it’s a single high-performance spacecraft, constellation, or the vertically integrated components that help get to space — our Space Systems division is empowering the boldest and most ambitious space missions.

SENIOR MACHINE LEARNING ENGINEER II

Rocket Lab Optical Systems solves mission-critical space domain and Intelligence, Surveillance, and Reconnaissance challenges for Department of Defense and Intelligence Community customers. Our vision is to revolutionize the space-based payload market with innovative and novel designs for space, terrestrial, and airborne environments. Building on more than 20 years of electro-optical and infrared systems innovation from Geost, Rocket Lab Optical Systems delivers solutions to the warfighter for responsive, scalable sensing solutions across all orbital domains.

As a Senior Machine Learning Engineer II for Rocket Lab Optical Systems in Chantilly, VA, you will have the opportunity to support Tranche 3 of the U.S. Space Development Agency's (SDA) Proliferated Warfighter Space Architecture (PWSA) and beyond by building deep learning neural networks for advanced Electro-Optical (EO/IR) image processing.

WHAT YOU’LL DO

Contribute your experience to developing solutions for real-world problems.
Design, train, and deploy machine learning models for Optical Systems applications
Build and maintain ML pipelines for data ingestion, feature engineering, training, and inference.
Collaborate with other researchers/engineers on artificial intelligence, machine learning, and computer vision.
Preform rapid prototyping and enhanced development to be integrated into operational systems.
Perform troubleshooting, bug fixes, and maintenance of existing and new systems.
Stay current with ML research and evaluate new tools, frameworks, and techniques

WHAT WE’RE LOOKING FOR IN A SENIOR MACHINE LEARNING ENGINEER II:

Bachelor's degree and 8+ years of experience, master’s degree or a Ph.D. in Computer Science, Electrical and Computer Engineering, Mechanical Engineering, Physics, or related field
Strong background in machine learning including model selection, architecting, training, validation, testing, and deployment
Experience in building deep learning neural network for computer vision, image processing, or video analysis (e.g., object detection, image segmentation, and tracking)
Strong math background, particularly linear algebra
Proficiency in Python
Experience with deep learning libraries (Keras, TensorFlow, Pytorch, etc)
Software engineering fundamentals: version control, testing, CI/CD, containerization
S. citizenship is required, due to program requirements
Ability to obtain and maintain an U.S. Government Security Clearance

NICE TO HAVE:

Proficiency in C/C++/Rust
Experience curating quality, real-world datasets for training deep learning models
TS/SCI security clearance

This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas.

Anticipated annual equity grant value is designed around function, level, experience, and other factors; realized value depends on vesting and stock-price performance.

Join one of the world's fastest-growing space companies and own a piece of it. In addition to competitive base pay, you'll receive company stock as part of your total compensation package, giving you a direct stake in our success. As we expand to new launch sites, groundbreaking missions, and global markets, your ownership has the opportunity to grow alongside the company.

Our comprehensive benefits package includes our industry-leading Employee Stock Purchase Program (with a 15% discount on company stock), top-tier medical plans, dental and vision coverage, paid vacation and sick time, 11 paid holidays, flexible spending and dependent care accounts, paid parental leave, disability and life insurance, 401(k) retirement plan with company match, and other discounts and perks.

The expected salary range for the position is displayed in accordance with the state of Virginia’s pay transparency requirements. Level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

Total Compensation (base and equity)

$130,000—$229,100 USD

Base Salary

$153,000—$204,000 USD

WHAT TO EXPECT

We’re on a mission to unlock the potential of space to improve life on Earth, but that’s not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work, and out-pace. We pride ourselves on having each other’s backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way.

Important information:

FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY:

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Rocket Lab Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. Learn more about ITAR here.

Rocket Lab provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment at Rocket Lab, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Applicants requiring a reasonable accommodation for the application/interview process for a job in the United States should contact Giulia Johnson at g.biow@rocketlabusa.com.This dedicated resource is intended solely to assist job seekers with disabilities whose disability prevents them from being able to apply/interview. Only messages left for this purpose will be considered. A response to your request may take up to two business days.

FOR CANDIDATES SEEKING TO WORK IN NEW ZEALAND OFFICES ONLY:

For security reasons, background checks will be undertaken prior to any employment offers being made to an applicant. These checks will include nationality checks as it is a requirement of this position that you be eligible to access equipment and data regulated by the United States' International Traffic in Arms Regulations.

Under these Regulations, you may be ineligible for this role if you do not hold citizenship of Australia, Japan, New Zealand, Switzerland, the European Union, or a country that is part of NATO, or if you hold ineligible dual citizenship or nationality. For more information on these Regulations, click here ITAR Regulations.

Asks for

Values