СШАMachine Learning Engineer (II-III), Space Edge Deployment
1 мес. назад
СШАMiddle
machine learningdata preprocessingfeature engineering
Develop machine learning and AI capabilities for space mission applications.
Обязанности
- Assist in the development, training, and evaluation of ML models across a range of mission-relevant tasks
- Support data ingestion, preprocessing, and feature engineering pipelines
- Run experiments, track results, and contribute to model evaluation and iteration
- Write clean, documented, and testable Python code as part of a collaborative engineering team
- Learn and grow alongside senior engineers, contributing meaningfully from day one
Требования
- Bachelor's degree in computer science, machine learning, data science, electrical engineering, or a similar discipline, plus 2-4 years of experience; or a Master's degree in one of these fields with no experience required.
- Proficiency in Python
- Foundational understanding of machine learning concepts including supervised learning, unsupervised learning, and model evaluation
- Exposure to ML frameworks such as PyTorch, TensorFlow, or JAX through coursework, research, or personal projects
- Strong mathematical fundamentals in linear algebra, statistics, and probability
- Eagerness to learn, take feedback, and grow in a fast-paced, mission-driven environment
- Passion for spaceflight and advancing capabilities related to space domain awareness and space security
- Work Location — this is a fully onsite role. Candidates must be based in or able to commute to our Denver or Long Beach office daily.
- Work environment —the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
- Physical demands —the physical demands of the job, including bending, sitting, lifting and driving.
- This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite
- To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
- is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.
Будет плюсом
- Internship, research, or project experience applying ML to real-world or research datasets
- Familiarity with classification, regression, clustering, or anomaly detection techniques
- Experience with version control (Git) and basic software engineering practices
- Exposure to MLOps concepts such as experiment tracking or model versioning
- Coursework or project work in deep learning, computer vision, or time-series analysis
Условия
- Base Salary: $125,000 - $220,000
- Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave
- Your actual 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, location, and experience.
Другое
- Space is a warfighting domain. seeks those with the talent and ambition to build the technology that secures it.
- OUR MISSION
- delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.
- OUR VALUES
- Be the offset. We create asymmetric advantages with creativity and ingenuity.
- What would it take? We challenge assumptions to deliver ambitious results.
- It’s the people. Our team is our competitive advantage and we are better together.
- YOUR MISSION
- As a member of the Applied Algorithms and Autonomy team, you will contribute to the design and development of machine learning and AI capabilities for . Working alongside experienced engineers, you will support the development of models and pipelines that enable object classification, anomaly detection, and data-driven decision-making. You are curious, driven, and eager to grow — someone who takes ownership of their work and isn't afraid to tackle hard problems.