Principal AI/ML Research Engineer

Date Posted:

2025-04-02

Country:

United States of America

Location:

MA107: BBN 50 Moulton 50 Moulton Street , Cambridge, MA, 02138 USA

Position Role Type:

Hybrid

RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA.    

The following position is to join our RTX BBN Team:

The Analytics and Machine Intelligence department (AMI) at RTX BBN is seeking an experienced leader and technical authority in advanced technologies of AI/ML with strong operational expertise and the ability to connect requirements to technical solutions. As a member of our technical staff, you will work on all aspects of software development, starting with concept ideation and development, implementation and testing, and finally, transition to the operational environments. You will have the opportunity to apply your work products to real-world applications and leverage the knowledge gained from that experience into new and advanced research threads.

In this age of automation and intelligence systems, we apply neuro-symbolic techniques (i.e. semantic technologies, deep neural networks, formal methods, etc) to understand the characteristics of autonomous systems and devise ways to combine them in unique ways to achieve the objectives of the battlefield commanders. We serve the intelligence community with new ways to discover patters from complex operations and determine the subtle signals that indicate anomalous events. Our technologies have dual use applicability, serving several commercial sectors such as financial, business intelligence, air traffic controllers, remote training, and media analytics. The incumbent will receive high level guidance from the BBN/AMI leadership and will be allowed freedom in independently planning assignments and in executing and applying technical acumen, judgment, and initiative.

Primary Responsibilities:

• Lead, or co-lead research direction on projects investigating diverse fields such as Information Management, Human Language Technologies, Data Analytics, Machine Intelligence and Autonomy, Planning and Estimation.
• Propose new research in machine learning applications to advance the state of the art.
• Build relationships with government program managers based on mutual respect for technological depth and creativity.
• Develop business plans to capture new fields in the commercial sector.
• Write and present conference papers about your work at peer-reviewed venues.
• Mentor junior staff on experimental design, best practices in research and engineering, and state of the art techniques in AI/ML.
• Position may require some amount of overnight travel.

Basic Qualifications:

• BS in Computer Science, Computer Engineering, Software Engineering or related field with minimum of 8 years of experience or an advanced degree and minimum of 5 years.
• U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.
• Experience in leading research programs involving large teams (10 or more) over several years.
• Expertise with state-of-the-art techniques in Neural Networks and Generative Models, Reinforcement Learning, Semantic Graphs, or Foundational Models.
• Knowledge of traditional model-based classification and tracking technologies, statistical techniques, uncertainty management, and data analytics applications
• Experience designing and implementing applied research / rapid prototype systems for DoD or IC customers, especially those in the space and space c2 ground domains
• Proficiency developing full stack software applications written in Java, Python, C++, or Javascript as either a data scientist, software or systems engineer
• Ability to lead and work with scientists and engineers at multiple seniority levels to derive and explain solutions to complex problems

Preferred Qualifications:

• Proven ability to produce technical artifacts in the form of publications in peer reviewed venues, or presentations to external customers and other stakeholders.
• Proven ability to carry out a research project from idea to design, implementation, testing,