Machine Learning Researcher

Date Posted

2024-05-03

Country

United States of America

Location

RC1: United Tech Research Center 411 Silver Lane, East Hartford, CT, 06108 USA

Position Role Type

Hybrid

For more than 90 years the RTX Technology Research Center (RTRC) has operated as a multidisciplinary group of experts collaborating on groundbreaking innovations. Our team includes some of the world's leading scientists, researchers and engineers working to anticipate the discoveries destined to change everything, and they transform that research into the solutions and products that help our businesses shape the future of aerospace and defense. Our unique talent, experience and resources allow us to deliver rapid responses to critical, time-sensitive challenges and develop breakthroughs for a safer, more connected world.

The Advanced Learning and Analytics 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. We conduct basic and applied research in a stimulating multi-disciplinary environment where scientists, engineers, practitioners, and subject matter experts collaborate and exchange experience.

We're looking for a highly motivated candidate eager to use and extend state of the art Machine Learning approaches in the above areas.

A great candidate

Has research credentials as evidenced by publications in leading ML conferences/Journals or demonstrated open-source software development in one or more areas of

Large Language Models, Multi-modal foundation models, Computer Vision, Neuro symbolic ML and Reinforcement Learning

Has served as hands on technical lead on applied research projects.

Has broad understanding of ML approaches and mathematical aptitude.

Can research, design and implement novel ML approaches for multi-modal data.

Demonstrates the potential to initiate, lead, and execute funding opportunities through internal and external R&D.

Can stay abreast of the latest developments in the field and champion new ideas and problem definitions.

Additionally, this role requires an ability to work effectively in a multidisciplinary team partnering with universities, government agencies, and national labs. The role requires strong communication skills and the ability to provide timely, accurate and detailed presentations, as well as documenting and publishing approaches and findings for in papers, white papers and patents for internal and external audiences.

Qualifications You Must Have

• 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 applications

Qualifications We Prefer

• U.S. Person (U.S. citizen, permanent resident, refugee or asylee) or eligible to obtain necessary export authorizations required.

• 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

• Prior experience working with LLMs, RAG, multi-modal foundational models

• 3+ years of professional ML experience.

• 3+ years of experience applying and adapting ML approaches from academic literature to real world problems.

• Strong publication record in top-tier conferences like CVPR, NeurIPS, ICLR, ICML etc.

Education

Required: ~~~. in Computer Science, Robotics, or related quantitative field

Preferred: Ph.D. in Computer Science, Robotics, or related quantitative field

Additional Skills and Abilities

Strong analytical, problem-solving, and interpersonal skills with track record of teamwork, adaptability, innovation and initiative.

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.

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 Systems, 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.

To realize our full potential, RTX is committed to creating a company where all employees are respected, valued and supported in the pursuit of their goals. We know companies that embrace diversity in all its forms not only deliver stronger business results, but also become a force for good, fueling stronger business performance and greater opportunity for employees, partners, investors and communities to succeed.

The following position is to join our RTX Corporate, Enterprise Services, Research Center or BBN team:

What We Offer: Whether you're just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care.

Requires advanced knowledge of work area typically obtained through advanced education combined with experience. May have practical knowledge of project management. Practical to substantial knowledge of RTX projects, programs or systems with the ability to make enhancements and leverage in daily work.

Typically requires

A University Degree or equivalent experience and minimum 5 years prior relevant experience, or An Advanced Degree in a related field and minimum 3 years experience

Engineering/Other Technical Positions:

Typically requires a degree in Science,Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience unless prohibited by local laws/regulations.

The salary range for this role is 77,000 USD - 163,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.

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. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

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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Raytheon Technologies 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.