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: B.Sc. 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 Corporat