R&D Machine Learning Engineer (Engineering Scientist Associate) at University of Texas at Austin
Austin, TX 78701, USA -
Full Time


Start Date

Immediate

Expiry Date

06 Dec, 25

Salary

88500.0

Posted On

07 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Physics, Storage, Machine Learning, Computing, Software Development, Eligibility, Python, Slam, Robotics, Data Science, Software Systems, Database, C++, Statistics

Industry

Information Technology/IT

Description

Job Posting Title:
R&D Machine Learning Engineer (Engineering Scientist Associate)
-
Hiring Department:
Applied Research Laboratories
-
Position Open To:
All Applicants
-
Weekly Scheduled Hours:
40
-
FLSA Status:
Exempt
-
Earliest Start Date:
Immediately
-
Position Duration:
Expected to Continue
-
Location:

Responsibilities

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

The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university’s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:

  • E-Verify Poster (English and Spanish) [PDF]
  • Right to Work Poster (English) [PDF]
  • Right to Work Poster (Spanish) [PDF
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