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

Q2

Machine Learning Engineer

Austin, TX

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... Python, R, or Java Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... R, or Java • Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn) • ...

Roku

Senior Machine Learning Engineer, DevOps/SRE

Austin, TX

$128K - $165K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... Participate in on-call rotation, leading incident response and root-cause analysis for critical ML ...

Roku

Senior Machine Learning Engineer, DevOps/SRE

Austin, TX · On-site

$128K - $165K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... Participate in on-call rotation, leading incident response and root-cause analysis for critical ML ...

MedReview

Data Scientist

Austin, TX · On-site +1

Proficiency in Python or R along with SQL for database querying. * Mathematics & Statistics: Strong foundation in linear algebra, calculus, and statistical modeling. * Machine Learning: Experience ...

MedReview

Data Scientist

Austin, TX · On-site

Proficiency in Python or R along with SQL for database querying. * Mathematics & Statistics: Strong foundation in linear algebra, calculus, and statistical modeling. * Machine Learning: Experience ...

MedReview

Data Scientist

Austin, TX · On-site

Proficiency in Python or R along with SQL for database querying. * Mathematics & Statistics: Strong foundation in linear algebra, calculus, and statistical modeling. * Machine Learning: Experience ...

Victory

Data Scientist (Remote)

Austin, TX · Remote

Create predictive models and machine-learning algorithms * Modify and combine different models ... Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset * MA or ...

Victory

Data Scientist

Austin, TX · On-site

Create predictive models and machine-learning algorithms * Modify and combine different models ... Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset * MA or ...

Victory

Data Scientist

Austin, TX · On-site +1

Create predictive models and machine-learning algorithms * Modify and combine different models ... Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset * MA or ...

Apple

Applied Scientist

Austin, TX · On-site

... 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 ...

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All JobsOn Call Machine Learning R JobsOn Call Machine Learning R Jobs in Austin, TX

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 Jul 1, 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.

On Call Machine Learning R jobs near you
Machine Learning Engineer

Machine Learning Engineer

Q2

Austin, TX

Full-time

Medical

Posted 8 days ago

Job description

As passionate about our people as we are about our mission.

Why Join Q2?

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology-and we do that by empowering our people to help create success for our customers.

What Makes Q2 Special?

Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our "Circle of Awesomeness" award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun. We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together.

SUMMARYThe Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning capabilities and support business innovation.Note: Specific tools, technologies, certifications, or travel requirements may be customized by the hiring managerRESPONSIBILITIES Design and implement machine learning algorithms and models for various business applications Conduct research and experimentation to advance machine learning capabilities Collaborate with cross-functional teams to integrate AI solutions into production environments Analyze large datasets to extract meaningful insights and support data-driven decisions Develop scalable machine learning pipelines and systems Maintain up-to-date knowledge of emerging AI and machine learning trends Ensure the quality and performance of AI systems through testing and validationEXPERIENCE AND KNOWLEDGE Bachelor's degree in related field and 5-8 years relevant experience Proven experience in ML model development and deployment Strong knowledge of statistics, optimization, probability theory, and experimental methodologies Proficiency in programming languages such as Python, R, or Java Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn) Familiarity with cloud platforms and scalable computing resources Strong analytical, problem-solving, and collaboration skills

This position requires fluent written and oral communication in English.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Health & Wellness

  • Hybrid Work Opportunities

  • Flexible Time Off

  • Career Development & Mentoring Programs

  • Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents

  • Community Volunteering & Company Philanthropy Programs

  • Employee Peer Recognition Programs - "You Earned it"

Click here to find out more about the benefits we offer.

Our Culture & Commitment:

We're proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare-offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program (see more). We believe in making an impact-in the industry and in the community.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.


Applicants in California or Washington State may not be exempt from federal and state overtime requirements

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About Q2

Sourced by ZipRecruiter

Industry

Finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Austin, TX, US

Year founded

2004

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