R&D Machine Learning Engineer (Engineering Scientist Associate) Job at The Unive

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

PICKLE RESEARCH CAMPUS

Job Details

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

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.


• Other related functions as assigned.

Required Qualifications

• Bachelor’s degree in physics, math, computer or information sciences, engineering, or a related technical area.


• Demonstrated ability in Python or a similar language.


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

Preferred Qualifications

• 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.


• 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 or higher.

Benefits

UT Austin offers a competitive benefits package that includes:
• 100% employer‑paid basic medical coverage
• Retirement contributions
• Paid vacation and sick time
• Paid holidays

Salary Range

$88,500‑$120,000+
egotiable based on qualifications.

Working Conditions

• 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.

Required Materials

• Resume/CV


• Three work references with contact information (at least one supervisor reference).


• Letter of interest.


• Unofficial college transcripts.

Equal Opportunity Employer

The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

Background Checks

A criminal history background check will be required for finalists under consideration for this position.

Pay Transparency

The University of Texas at Austin will not discharge or otherwise discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Employees with access to compensation information are required to follow confidentiality procedures as outlined in institutional policy.

Employment Eligibility Verification

If hired, you will be required to complete the federal Employment Eligibility Verification I‑9 form and provide acceptable and original documents to prove your identity and authorization to work in the United States no later than the third day of employment. Failure to do so may result in termination.