Speech Research
2 months ago
Date Posted:
2024-09-27Country:
United States of AmericaLocation:
MD720: 9861 Broken Land Pkwy Columbia 9861 Broken Land Parkway Suite 400, Columbia, MD, 21046 USAPosition Role Type:
OnsiteRTX BBN Technologies (BBN) is one of RTX’s premier research and development centers. Our diverse research portfolio combines the best technologies to deliver innovative, custom solutions with real-world benefit.
We are looking for creative, talented individuals to join our world-class Analytics and Machine Intelligence department and to help us advance the state-of-the-art in our areas of operation. Our work ranges from seminal research and development to advanced fielded solutions. BBN's research team collaborates with universities on a range of cutting edge projects. Our research activities drive the development of industry-leading 24x7 solutions and their deployment into demanding user environments.
What You Will Do
Responsibilities include, but are not limited to:
The Analytics & Machine Intelligence Engineer II will work with a team of experienced staff to design and implement new techniques in a variety of technologies, including Artificial Intelligence, Decision Support / Information Exploitation, Natural Language Processing, Human-Machine teaming, Automation, etc. Responsibilities include algorithm implementation, testing, analyzing, and documenting the performance of the new algorithms, and integrating the resulting advances into existing systems and components. Candidates should expect that they may be required to travel to a BBN, RTX, teammate, or customer site for meetings or other business-related activities.Qualifications You Must Have
Master’s degree in Computer Science (CS), Computational Linguistics, Electrical Engineering (EE), Mathematics, or related areas; or Bachelors and 2 years of direct experience. Requires active/current US Government TS/SCI+ security clearance. Experience with programming languages and in particular Python. Experience with Linux and/or MS Windows programming environments.Qualifications We Prefer
Familiarity with Docker, Git, ML development toolkits (e.g. PyTorch) Familiarity with training and adapting Machine Learning models, and familiarity with the Huggingface ecosystem and Transformer family of models. Familiarity with statistical tools, such as Matlab, is a plus. Good communication and presentation skills. Strong analytical and quantitative problem-solving skills. Background in probability, statistics, machine learning, or other STEM fields.What We Offer
Our team members are passionate about growth, innovation, and collaboration. We are constantly striving to learn and improve. If you are a creative problem solver and have an insatiable appetite for learning, come join our team
We offer outstanding benefits that include flexible work schedules, a competitive 401k company match, a Retirement Contribution plan, performance-based incentive, paid parental leave, paid time off, and many other employee discounts.
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.-
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