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Remote Machine Learning Jobs in Round Rock, TX (NOW HIRING)

Amat

Data Scientist- Install Automation

Austin, TX · On-site +1

$78K - $108K/yr

Develop and deploy AI, machine learning, and analytics solutions to support Install Automation , Auto Sequencing , Smart Sequencing , and task automation initiatives. * Build predictive and ...

Hired Recruiters

Senior DevOps Engineer

Austin, TX · Remote

$128K - $165K/yr

Remote * Salary $150k - $200k * Seed Company * Skills: Ansible, Bash, Python, Terraform, Docker ... machine learning architecture. * Have an expert level understanding of Terraform and Ansible in ...

Hired Recruiters

Senior DevOps Engineer

Austin, TX · On-site +1

$128K - $165K/yr

Remote * Salary $150k - $200k * Seed Company * Skills: Ansible, Bash, Python, Terraform, Docker ... machine learning architecture. * Have an expert level understanding of Terraform and Ansible in ...

Hired Recruiters

Senior DevOps Engineer

Austin, TX · Remote

$128K - $165K/yr

Remote * Salary $150k - $200k * Seed Company * Skills: Ansible, Bash, Python, Terraform, Docker ... machine learning architecture. * Have an expert level understanding of Terraform and Ansible in ...

Hired Recruiters

Senior Software Engineer

San Francisco, CA · On-site +1

$144K - $190K/yr

Experience with fintech, data engineering, accounting systems, machine learning and/or 2-sided ... Located and able to work in SF Bay Area (with remote opportunities) Job Responsibilities Overall:

Hired Recruiters

Senior Software Engineer

Austin, TX · On-site +1

$121K - $160K/yr

Experience with fintech, data engineering, accounting systems, machine learning and/or 2-sided ... Located and able to work in SF Bay Area (with remote opportunities) Job Responsibilities Overall:

Wsgr

Innovations and AI Solutions Engineer

Austin, TX · On-site +1

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Developing and applying machine learning models and integrating AI models using Python, R, SQL, and ...

iCounter

Chief Product Officer (US- Remote)

Austin, TX · Remote

You'll work alongside our CEO and executive team to translate market needs and technical capabilities into a best-in-class product that leverages machine learning and AI to stay ahead of adversaries.

General Motors

Data Scientist

Austin, TX · On-site +1

Lead the execution of assigned AI, machine learning, or data science workstreams from methodology through delivery. * Contribute to product decisions and help shape the ideation, design, and ...

YO AI Labs

SolidWorks Expert - Remote

Austin, TX · Remote

$40 - $130/hr

Translate engineering requirements into structured CAD data suitable for AI learning and validation ... CNC machining. * Casting and forging. * Assembly modeling. * CAD editing and feature tree ...

TEKsystems

Data Annotation Specialist

Austin, TX · Remote

$25 - $35/hr

Familiarity with AI and machine learning concepts. Additional language skills, which are beneficial ... remote position. Application Deadline This position is anticipated to close on Sep 9, 2026. About ...

Cisco

Senior Software Engineer (Remote)

Austin, TX · Remote

$121K - $160K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Familiarity with LLMs, AI agents, embeddings, or other machine-learning capabilities and their ...

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Showing results 41-60

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Round Rock, TX

Remote Machine Learning information

See Round Rock, TX salary details

$23.8K

$39.7K

$82.1K

How much do remote machine learning jobs pay per year?

As of Sep 11, 2026, the average yearly pay for remote machine learning in Round Rock, TX is $39,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs

What are the most commonly searched types of Machine Learning jobs in Round Rock, TX?

The most popular types of Machine Learning jobs in Round Rock, TX are:

What are popular job titles related to Remote Machine Learning jobs in Round Rock, TX?

For Remote Machine Learning jobs in Round Rock, TX, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in Round Rock, TX look for?

The top searched job categories for Remote Machine Learning jobs in Round Rock, TX are:

What cities near Round Rock, TX are hiring for Remote Machine Learning jobs?

Cities near Round Rock, TX with the most Remote Machine Learning job openings:

Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Round Rock, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $39,711 per year, or $19.1 per hour.

Data Scientist- Install Automation

Austin, TX • On-site, Remote

Amat
See more jobs at Amatexternal

$78K - $108K/yr

Full-time

This job post has expired 4 days ago. Applications are no longer accepted.

Key responsibilities

  • Develop and deploy AI, machine learning, and analytics solutions to support Install Automation, Auto Sequencing, Smart Sequencing, and task automation initiatives.

  • Build predictive and optimization models that improve installation efficiency, resource utilization, workflow execution, and cycle-time performance.

  • Analyze engineering, installation, service, and operational data to identify patterns, predict outcomes, and drive automation decisions.

Job description

Who We Are


Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world's technology.


What We Offer


Salary:

$78,500.00 - $108,000.00

Location:

Austin,TX

You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

Responsibilities

  • Develop and deploy AI, machine learning, and analytics solutions to support Install Automation, Auto Sequencing, Smart Sequencing, and task automation initiatives.
  • Build predictive and optimization models that improve installation efficiency, resource utilization, workflow execution, and cycle-time performance.
  • Analyze engineering, installation, service, and operational data to identify patterns, predict outcomes, and drive automation decisions.
  • Design and implement data pipelines, feature engineering, model training, validation, deployment, and monitoring processes.
  • Apply machine learning, optimization techniques, and Generative AI to automate engineering workflows, documentation, and decision-making.
  • Create dashboards and KPI frameworks to measure automation effectiveness, productivity improvements, and business impact.
  • Partner with Engineering, Manufacturing, Service, and Digital Transformation teams to develop and scale enterprise automation solutions.
  • Document methodologies, models, and best practices to support adoption across global teams.

Requirements

  • Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, Artificial Intelligence, or related field.
  • 3+ years of experience in Data Science, Machine Learning, AI, Advanced Analytics, or Process Automation.
  • Strong proficiency in Python and machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, or equivalent.
  • Experience developing predictive models, optimization algorithms, recommendation systems, or workflow automation solutions.
  • Knowledge of supervised and unsupervised learning, deep learning, Generative AI, and statistical modeling.
  • Experience working with large-scale engineering, manufacturing, service, or operational datasets.
  • Semiconductor equipment, industrial automation, or field service experience preferred.
  • Strong analytical, problem-solving, and communication skills with the ability to translate complex data into business value.
  • Willingness to travel internationally (approximately 10%).

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.

For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.

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