Job details

Machine Learning Research Engineer

Position OverviewThe Advanced Learning and Analytics Team, part of the AI Discipline, at RTX Research Center (RTRC) is looking for a highly motivated machine learning research engineer to push the state of art in machine learning for aerospace and defense applications. The team researches and develops machine learning, computer vision, reinforcement learning, large language models and human-computer interaction solutions for a variety of high-impact real-world problems in the aerospace, manufacturing and defense industries. Examples include autonomy, multi-agent coordination, cybersecurity, material discovery and design, automated visual inspection of parts, robotic perception and prognostics and health management.Basic Qualifications• 5+ years of hands-on experience in various ML techniques, algorithms, off-the-shelf packages and development environments.• Ability to understand and use details of an engineering problem statement, formulate it as an ML problem and identify candidate ML approaches.• Original research experience in synthesizing and combining multiple ML approaches to address novel engineering problems.• Broad awareness of customer needs in the area of AI and ML for defense and aerospace applications.• U.S. Citizenship or Permanent Resident (Green Card) status is required.• U.S. Person (U.S. citizen, permanent resident, refugee or asylee) or eligible to obtain necessary export authorizations required.• Required: B.Sc. in Mechanical Engineering, Computer Science, Robotics, or related quantitative field.Preferred Qualifications• Strong mathematical background in statistics and linear algebra.• Experience setting technical direction from initiation to execution of projects and managing technical deliverables for a small team.• 3+ years of professional ML experience.• 3+ years of experience applying and adapting ML approaches from academic literature to real-world problems.Responsibilities• Demonstrates the potential to initiate, lead, and execute projects through internal and external R&D.• Ability to work effectively in a multidisciplinary team partnering with universities, government agencies, and national labs.• Clear and effective communication with all levels of management, business development, researchers, and customers.• Ability to focus and determine task priorities in a fast-paced, dynamic team environment.• Ability to work independently with limited direction to accomplish project goals.Benefits• The salary range provided is a good faith estimate representative of all experience levels.• Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays.RTX is committed to creating a company where all employees are respected, valued and supported in the pursuit of their goals. RTX is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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Gregory J. Hayes

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Average salary estimate

$100000 / YEARLY (est.)

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$80000K

$120000K

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What You Should Know About Machine Learning Research Engineer, RTX

Are you ready to take your career to new heights? Join the Advanced Learning and Analytics Team at RTX Research Center (RTRC) as a Machine Learning Research Engineer, where your expertise can soar above and beyond in the aerospace and defense sectors. This is not just any job; it’s your chance to work on cutting-edge technologies including machine learning, computer vision, and reinforcement learning. You'll be tackling real-world challenges like autonomy, cybersecurity, and even robotic perception, making a tangible impact in industries that shape our future. Your role will require not only hands-on experience with diverse ML techniques but also the ability to translate complex engineering problems into innovative ML solutions. We're looking for original thinkers who can synthesize multiple approaches for novel engineering challenges. Communication will be key as you’ll collaborate with multidisciplinary teams, including partnerships with universities and government agencies. If you have a strong mathematical background and experience leading projects from inception to execution, this might just be your dream job! RTX recognizes the value of your contributions and offers a competitive salary along with an impressive benefits package, promoting a healthy work-life balance. So, if you're ready to push the boundaries of what's possible in machine learning for aerospace and defense, we’d love to hear from you!

Frequently Asked Questions (FAQs) for Machine Learning Research Engineer Role at RTX

What are the main responsibilities of a Machine Learning Research Engineer at RTX?

As a Machine Learning Research Engineer at RTX, you'll be engaging in R&D activities that enable you to initiate, lead, and execute innovative projects. Your primary responsibilities will include formulating engineering problems as machine learning challenges, synthesizing and combining multiple ML approaches for real-world applications, and collaborating effectively within multidisciplinary teams comprising researchers, universities, and government organizations.