Machine Learning Engineer Generative AI

The Aerospace Corporation • El Segundo, CA

296d • $110,400 - $193,500 • Remote

About The Position

The Aerospace Corporation is the trusted partner to the nation's space programs, solving the hardest problems and providing unmatched technical expertise. As the operator of a federally funded research and development center (FFRDC), we are broadly engaged across all aspects of space— delivering innovative solutions that span satellite, launch, ground, and cyber systems for defense, civil and commercial customers. When you join our team, you'll be part of a special collection of problem solvers, thought leaders, and innovators. Join us and take your place in space. Information Systems and Cyber Division (ISCD) staff couple the latest in information system technologies, such as elastic compute clouds, containerization, microservices, real-time operating systems, and visualization frameworks, with expertise in cyber security, software architecture, software engineering, data science, Artificial Intelligence, process improvement, and software development to deliver responsive, resilient, high-performance software intensive systems to our Intelligence Community, DoD, and civilian customers. We are looking for a Machine Learning Engineer - ML Applications/Generative AI (Sr.MTS/Engineering Specialist - Computer Engineering | AI/ML) who can lead development of publicly available and Aerospace models into deployed applications to serve a variety of needs across the space industry. This individual will have a significant role in defining the Data Science and AI Department's ML Platform and software development practices and help charter its scope relative to other departments within ISCD.

Requirements

• Bachelor's degree in STEM, Computer Science or a related technical field.
• 4 years of experience with Machine Learning and Data Science methodologies.
• Two or more years of experience with containerization tools (Docker) and orchestration platforms (Kubernetes).
• Two or more years of experience with APIs for serving machine learning models, RESTful services and microservice architectures.
• Familiarity with SQL/NoSQL databases and with data storage solutions such as data lakes and data warehouses.
• Familiarity with continuous integration/continuous deployment (CI/CD) pipelines.
• Experience collaborating with data scientists, software developers (i.e., subject matter experts) and other stakeholders and an ability to document processes, code, and workflows effectively.
• Willing to travel domestically less than 5% of the time if required.
• This position requires ability to obtain and maintain a security clearance, which is issued by the U.S. government. U.S. citizenship is required to obtain a security clearance.

Nice To Haves

• Master's or advanced degree STEM in a relevant field.
• Experience or familiarity with common data and use-cases within the space industry.
• Demonstrated ML projects deployed as applications.
• Active top secret TS/SCI clearance.

Responsibilities

• Developing, deploying, and maintaining machine-learning applications to serve a variety of government, commercial, and internal customers in the space industry.
• Contributing as a technical lead to DSAID's internal ML platform, code/pipeline repositories, and our software/ML engineering best practices.
• Proactively engaging with other departments within and external to ISCD to determine application interfaces and use-cases.
• Leading and mentoring junior staff in reviewing code and adoption of best practices.

Benefits

• Comprehensive health care and wellness plans.
• Paid holidays, sick time, and vacation.
• Standard and alternate work schedules, including telework options.
• 401(k) Plan — Employees receive a total company-paid benefit of 8%, 10%, or 12% of eligible compensation based on years of service and matching contributions; employees are immediately eligible and vested in the plan upon hire.
• Flexible spending accounts.
• Variable pay program for exceptional contributions.
• Relocation assistance.
• Professional growth and development programs to help advance your career.
• Education assistance programs.
• An inclusive work environment built on teamwork, flexibility, and respect.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Transportation Equipment Manufacturing
• Education Level: Bachelor's degree