Machine Learning Engineer

Company Overview

Millennium Space Systems, A Boeing Company delivers affordable, high-performance space systems for exacting customers. At Millennium, you will be part of a close-knit team working on exciting technological problems.

We work in an open environment where ideas are shared across all disciplines, and there are ample opportunities for advancement based on excellence. Superstars are welcome.

At Millennium, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity, and inclusion are core values.

We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

Job Summary

Our Engineering Analysis team is seeking an experienced Machine Learning Engineer to build efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities.

These systems will enable faster design and production of cutting-edge satellite technology.

The ideal candidate will be skilled in using statistics and programming to assess, analyze, and organize large amounts of data for actionable use.

The candidate should also understand current and emerging state of the art large language models and optimize machine learning models and algorithms to meet very specific use cases.

This position’s internal job code is Engineering Data Scientist. Our team is currently hiring a level 1 3.

Job Responsibilities

• Create machine learning algorithms, applications and systems
• Solve complex problems using multilayered data sets to extract actionable information that will drive engineering and business decisions across the company
• Leverage knowledge of ML capabilities and applications to apply in real-world applications to improve Millennium enterprise systems
• Build, test, deploy and maintain production systems and applications which transform disparate data sources to generate accurate unbiased actionable information
• Create ML applications which expedite and optimize enterprise functions and processes to build state of the art satellites
• Train, retrain, and monitor machine learning systems and models as needed
• Construct optimized data pipelines to feed machine learning models
• Collaborate with managers and key stakeholder teams to determine and refine machine learning objectives in support of business use cases
• Extend existing machine learning libraries and frameworks to optimize Millennium specific uses

Minimum Qualifications

• 1-3 years’ experience building machine learning applications in Python
• Experience with satellite design and manufacturing or of aerospace industry processes
• Excellent communication skills when discussing technical concepts with technical and non-technical colleagues
• Bachelor’s degree (or equivalent) in computer science, mathematics, or related field

Preferred Qualifications

• 1-3 years of experience as a Machine Learning Engineer in an engineering or manufacturing environment
• In-depth knowledge of Python and machine learning frameworks, like Keras or PyTorch
• Experience with data structures, data modeling, and software architecture
• Experience understanding functional objectives and deliver application solutions

Summary Pay-Range

• Level 1 : $75,650 - $111,250
• Level 2 : $96,900 - $142, 500
• Level 3 : $121,550 - $178,750

Benefits and Perks

Millennium Space Systems offers a very competitive benefits package to include medical, dental, vision, and 401k plan.

Before applying, please note :

Millennium is DDTC-registered, ITAR-compliant Company. This position is located at a facility that requires special access.

Applicants MUST be U.S. citizens and eligible for a security clearance. Additionally, applicants must be willing to apply for and maintain a security clearance.

We are proud to be an Affirmative Action / Equal Opportunity Employer. We encourage veterans, disabled veterans and disabled individuals to apply for any open position for which they feel they are qualified.

Applicant Privacy Policy

Mandatory Security Clearance and Access Process Disqualifying Criteria