R&D Machine Learning Engineer (Engineering Scientist Associate)

University of Texas at Austin • Austin, TX

111d • $88,500 - $120,000

About The Position

The R&D Machine Learning Engineer (Engineering Scientist Associate) position at the Applied Research Laboratories focuses on the development of novel machine learning algorithms for sonar and underwater acoustics applications. The role involves data analysis to effectively characterize algorithm performance in the Advanced Technology Laboratory (ATL).

Requirements

• Bachelor’s degree in physics, math, computer or information sciences, engineering, or a 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.
• Dynamic skill set, willingness to work with new technologies, and capability to plan and coordinate multiple tasks.
• Attention to detail, effective problem-solving skills, and excellent judgment.
• Ability to work independently with sensitive and confidential information.
• Maintain a professional demeanor and work as a team member without daily supervision.
• Ability to communicate effectively with all groups of clients.
• Ability to work under pressure and accept supervision.
• Regular and punctual attendance.
• US Citizenship.

Nice To Haves

• Advanced degree in physics, math, computer or information sciences, engineering, operations research, or a related technical area.
• Two or more years of Python or C++ development experience.
• Demonstrated knowledge in 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.

Responsibilities

• 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 the research community.
• Travel in support of data collection and system evaluation testing.
• Perform other related functions as assigned.

Benefits

• 100% employer-paid basic medical coverage.
• Retirement contributions.
• Paid vacation and sick time.
• Paid holidays.

What This Job Offers

• Job Type: Full-time
• Education Level: Bachelor's degree
• Number of Employees: 251-500 employees