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On Call Machine Learning R Jobs in Austin, TX (NOW HIRING)

Applied Scientist

Austin, TX · On-site

$175K - $308K/yr

... machine learning to help optimize marketing channels, via observational testing frameworks ... R, SQL, Java, or C++ Experience with cloud platforms, Spark, Docker, and MLOps tools and best ...

Applied Scientist

Austin, TX · On-site

$175K - $308K/yr

... machine learning to help optimize marketing channels, via observational testing frameworks ... R, SQL, Java, or C++ Experience with cloud platforms, Spark, Docker, and MLOps tools and best ...

Commercial Director, Americas

Austin, TX · On-site

$171.30 - $342.70/hr

Oversee adoption of digital tools, AI, and machine learning to enhance offerings and streamline ... R). * Experience overseeing complex dashboard development, automation workflows, and scenario ...

Demographic Data Scientist

Austin, TX · On-site

$85 - $110/hr

Austin, Texas, United States Machine Learning and AI Apple is currently seeking an enthusiastic ... Strong programming skills in a scripting language (Python, R, Matlab, etc.), using these tools to ...

Responsible for developing and improving low-power flow algorithms using AI and machine learning ... route (P&R). You'll actively leverage various AI tools to innovate new solutions and enhance ...

Solid programming and data analysis skills in Python and/or R * Exposure to machine learning, statistical modelling, or optimisation techniques is a plus * Bachelor's degree in a technical discipline ...

Showing results 41-60

On Call Machine Learning R information

See Austin, TX salary details

$25.3K

$42.2K

$87.2K

How much do on call machine learning r jobs pay per year?

As of Sep 7, 2026, the average yearly pay for on call machine learning r in Austin, TX is $42,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.

What is the difference between On Call Machine Learning R vs Data Scientist?

AspectOn Call Machine Learning RData Scientist
Required CredentialsTypically requires proficiency in R, statistical analysis, and some machine learning knowledgeRequires advanced degrees (often Master’s or PhD), programming skills (R, Python), and data analysis expertise
Work EnvironmentOften on-demand, project-based, or support roles within organizations or consulting firmsFull-time roles in various industries, involving data analysis, model development, and strategic insights
Employer & Industry UsageUsed by companies needing immediate machine learning support or troubleshootingEmployed across industries for data-driven decision making and predictive modeling

While both roles involve machine learning and R, On Call Machine Learning R focuses on providing immediate, project-specific support using R, whereas Data Scientists typically work on comprehensive data analysis and model development in a full-time capacity.

Infographic showing various On Call Machine Learning R job openings in Austin, TX as of June 2026, with employment types broken down into 14% Internship, and 86% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $42,209 per year, or $20.3 per hour.

Acoustics Signal Processing Analyst

University of Texas

Austin, TX • On-site

$89 - $120/hr

Other

Medical, Retirement, PTO

Posted 5 days ago


University Of Texas at Austin rating

8.3

Company rating: 8.3 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

127th of 631 rated colleges and universities


Job description

## Acoustics Signal Processing AnalystApplylocations: PICKLE RESEARCH CAMPUStime type: Full timeposted on: Posted Todayjob requisition id: R\_00047672**Job Posting Title:**Acoustics Signal Processing Analyst**----****Hiring Department:**Applied Research Laboratories**----****Position Open To:**All Applicants**----****Weekly Scheduled Hours:**40**----****FLSA Status:**Exempt from FLSA**----****Earliest Start Date:**Immediately**----****Position Duration:**Expected to Continue**----****Location:**PICKLE RESEARCH CAMPUS**----****Job Details:**## PurposeDevelop and examine signal processing algorithms and analyze data processing results to support the development, evaluation, and improvement of Navy SONAR systems. Participate in the research and development efforts within the Environmental Sciences Laboratory (ESL) of Applied Research Laboratories.## Responsibilities* Process and/or analyze acoustic data for use in SONAR system development. Includes the development of novel signal processing and automation algorithms to solve identified problems.* Conduct acoustic and system engineering to test and evaluate SONAR signal processing and automation algorithms developed both internally and externally.* Implement and research grade software and analysis tools in Matlab, Python, or similar programming languages. Software applications may include novel graphic visualizations, signal processing applications such as beamformers, automated trackers, automated target classifiers, applications for machine learning and other algorithms as needed.* Preparation of analysis presentations and technical reports.* Support collaborative research efforts with other team members.* Other related functions as assigned*.*## Required Qualifications* Bachelor’s degree in Engineering, Physics, or related discipline.* Experience with one or more of the following: + Signal processing + Automation algorithm design and evaluation + Acoustics + System/software design + Machine learning + Data processing and analysis* Experience working in an applied research environment.* Familiarity with developing software tools using MATLAB, Python, or similar language.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 and managing their time. The position will require: attention to detail, effective problem-solving skills, sound engineering judgment, ability to work independently with sensitive and confidential information, ability tomaintain a professional demeanor and work as a team member without daily supervision, and effectively communicate with various groups of clients; ability 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* Master’s degree or Ph. D. in Engineering, Signal Processing, Acoustics, Physics, or related discipline.* Current or recent eligibility for access to classified information.* Two or more years of experience with one or more of the following: + Analysis of acoustic data + Signal processing or automation algorithm design + Estimating sonar system performance* Experience in machine learning, predictive analytics, and big data analysis.* One or more years of experience with software design, programming, and analysis using MATLAB, Python, or similar language.* Experience working in both Windows and Linux environments.* Experience summarizing analysis results in technical reports and/or PowerPoint and presenting research results.* Proven ability to work independently, formulate research plans, take initiative, and mentor other staff.* Demonstrated excellent interpersonal communication and presentation skills.* Cumulative GPA of 3.0 or greater.## General NotesAn agency designated by the federal government handles the investigation as to the requirement for eligibility for access to classified information. Factors considered during this investigation include but are not limited to allegiance to the United States, foreign influence, foreign preference, criminal conduct, security violations, drug involvement, the likelihood of continuation of such conduct, etc.Please mark "yes" on the application question that asks if additional materials are required. Failure to attach all additional materials listed below may result in a delay in application processing.Visit our website (www.arlut.utexas.edu) for additional information about Applied Research Laboratories.UT Austin offers a competitive benefits package that includes: · 100% employer-paid basic medical coverage · Retirement contributions · Paid vacation and sick time · Paid holidays Please visit our Human Resources (HR) website to learn more about the total benefits offered.## Salary Range$88,500-$120,000+/negotiable depending on qualifications.## Working Conditions* Standard office conditions* Repetitive use of a keyboard at a workstation* Use of manual dexterity* Possible weekend, evening and holiday work* Possible interstate/intrastate travel## Required Materials* Resume/CV* 3 work references with their contact information; at least one reference should be from a supervisor* Letter of interest**Important** **for applicants who are NOT current university employees or contingent workers:** You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.**Important for Current university employees and contingent workers:** As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above. #J-18808-Ljbffr

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