R&D Machine Learning Engineer (Engineering Scientist Associate) Full-time

R&D Machine Learning Engineer (Engineering Scientist Associate)

Development of novel machine learning algorithms for application to sonar and underwater acoustics, as well as the accompanying data analysis to effectively characterize their performance in the Advanced Technology Laboratory (ATL).

Conduct data analysis across a range of acoustic systems, identifying anomalies and opportunities for improvement.

Coordinate algorithm delivery to implementation and deployment teams.

Identify, research, and develop algorithms to exploit information in various sensor systems

Analyze and develop models of signal processing outputs to support system understanding

Present results to research community

Travel in support of data collection and system evaluation testing.

Other related functions as assigned.

Bachelor's degree in physics, math, computer or information sciences, engineering, related technical area

Demonstrated ability in Python or similar abstract language.

Demonstrated knowledge in one or more of the following areas: machine learning, high-performance computing, data pipelining, applied statistics, robotics, Bayesian estimation, SLAM

Applicant must have a dynamic skill set, be willing to work with new technologies, be highly organized and capable of planning and coordinating multiple tasks. The position will require attention to detail, effective problem-solving skills and excellent judgment. Ability to work independently with sensitive and confidential information, maintain a professional demeanor, work as a team member without daily supervision and effectively communicate with all groups of clients. Able to work under pressure and accept supervision. Regular and punctual attendance.

US Citizen. Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information at the level appropriate to the project requirements of the position.

Advanced degree in physics, math, computer or information sciences, engineering, operations research, or related technical area.

Two or more years of Python or C++ development

Demonstrated knowledge in any of the following areas: distributed computing, embedded software development, data science, storage and database management, machine learning frameworks, and applied statistics

Experience building and troubleshooting software systems

Experience with scientific literature review

Proven ability to work independently and take initiative.

Eligibility for immediate access to classified information.

Cumulative GPA of 3.0.

$88,500-$120,000+/negotiable based on qualifications.

Standard office conditions

Repetitive use of a keyboard at a workstation

Use of manual dexterity

Some weekend, evening and holiday work

Possible interstate/intrastate travel

Resume/CV

3 work references with their contact information; at least one reference should be from a supervisor

Letter of interest

Unofficial college transcripts