Apply on Employer Site

University of Miami · 4 months ago

R&D Machine Learning Engineer (Engineering Scientist Associate)

PICKLE RESEARCH CAMPUS

Full-time

Onsite

Entry, Mid Level

2+ years exp

The University of Texas at Austin is seeking an R&D Machine Learning Engineer to develop novel machine learning algorithms for sonar and underwater acoustics applications. The role involves conducting data analysis, coordinating algorithm delivery, and presenting results to the research community.

EducationHigher EducationTrainingUniversities

No H1B

U.S. Citizen Only

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 research community

Travel in support of data collection and system evaluation testing

Other related functions as assigned

Qualification

Machine LearningPythonHigh-performance computingData pipeliningApplied statisticsRoboticsBayesian estimationSLAMC++Data scienceEmbedded software developmentStorageDatabase managementScientific literature reviewProblem-solvingAttention to detailTeamworkCommunication

Required

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

US Citizen

Ability to work independently with sensitive and confidential information

Maintain a professional demeanor

Work as a team member without daily supervision

Effectively communicate with all groups of clients

Able to work under pressure and accept supervision

Regular and punctual attendance

Preferred

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