Assoc Dir., Analytics & Machine Intelligence

Key Skills

Aartificial intelligence, Data Analytics, Effective communication skills, Machine Intelligence, Machine learning techniques

Job Description

The AMI department has the expertise to apply deep knowledge of machine learning approaches and other artificial intelligence techniques, learned and refined in human language technologies, to the complex problems faced by our current and future customers. We are seeking creative and talented leaders and researchers to join us in our research and development efforts.

We combine deep knowledge of linguistic structures with state-of-the-art deep learning approach to find critical patterns in language to help in translation, event extraction, and profile generation. We apply this knowledge in challenging tasks: finding and summarizing key information in multi-lingual corpora, understanding the relations between world events, predicting future events, and generating multiple interpretations of real-world situations. We develop solutions for diverse domains including situational awareness of kinetic operations, behavior characteristics, socio-political events, and intelligence analysis.

In this age of automation and intelligence systems, we apply neuro-symbolic techniques (i.e. semantic technologies and deep neural networks) 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.

What you will do

• 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.
• Capture new business from new and existing customers by leveraging the strength of BBN expertise and capabilities.
• 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.

What you will gain

• Opportunities to propose new ideas and solutions to challenging scientific and technological problems.
• Empowerment to satisfy your scientific curiosity and entrepreneurial drive.
• Scientific and technological leadership opportunities, setting program direction and priorities.
• Mentoring and training on business development, including customer relationship building and proposal writing.
• Financial rewards for successful business development.
• Travel and networking opportunities at conferences, technical integration meetings, and business development engagements.
• Flexibility to work on the schedule that fits your lifestyle and needs.
• A dedicated office where you can design your ideal working environment and express your own personality.

What you need

• Typically requires BS with minimum of 12 years of experience or an advanced degree and minimum of 10 years.
• Degrees in Computer Science, Computer Engineering, Computational Linguistics, Electrical Engineering, and other related fields are all welcome.
• 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, and publication.
• Strong communicator with demonstrated ability to address customer needs in a dynamic environment.
• Familiarity with state-of-the-art techniques in Neural Networks and Generative Models
• Excellent written and oral communication skills, and a willingness to work closely with customers and partners.
• Proven success in proposal or grant writing
• Experience in leading research programs involving large teams (10 or more) over several years
• Teaching or mentorship experience
• Previous participation on government research programs.
• Willingness to apply and be granted a US Government security clearance. S. citizenship is required, as only U.S. citizens are eligible for a security clearance.
• This position will require travel to customer installations or research centers.

Additional Desired Experience

• PhD degrees are welcome.
• Additional work experience is welcome.
• Active Security clearance is welcome.

Why Us

Whether you’re just starting out on your career journey or are an experienced professional, we offer a total rewards package that goes above and beyond 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.

The salary range for this role is 143,000 USD - 287,000 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.