Phase2 Technology is hiring: R&D Machine Learning Engineer (Engineering Scientis
Phase2 Technology, Austin, TX, United States
Purpose
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).
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.
Required Qualifications
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.
Preferred Qualifications
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.
Benefits
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
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.
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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).
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.
Required Qualifications
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.
Preferred Qualifications
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.
Benefits
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
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.
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