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Machine Learning Intern Remote Jobs in Austin, TX

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 ...

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.

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.

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:

Senior Software Engineer

Austin, TX · Remote

$125K - $165K/yr

Ability to work independently in a remote environment Nice to Have * Experience working on AI, machine learning, or LLM-related projects * Familiarity with software quality assurance methodologies or ...

Senior Software Engineer

Austin, TX · Remote

$335K - $400K/yr

The Rokt Ecommerce Network leverages proprietary machine learning recommendation systems, powering ... Willingness to work 4 day in-office, 1 day remote weekly schedule. + Experience relevant to one or ...

Senior Software Engineer

Austin, TX · Remote

$335K - $400K/yr

The Rokt Ecommerce Network leverages proprietary machine learning recommendation systems, powering ... Willingness to work 4 day in-office, 1 day remote weekly schedule. + Experience relevant to one or ...

Data Engineer

Austin, TX · Remote

$113K - $136K/yr

Why You'll Love It Here Flexibility Work that fits your life - with a remote work schedule ... Exposure to data science workflows, machine learning, or AI deployments is a plus * Strong ...

CISSP, OSCP, CEH, Certified AI Security Specialist (CAISS), or GIAC Machine Learning Security ... remote-first culture - you've come to the right place. What Does This Mean for You? At Aledade, you ...

CISSP, OSCP, CEH, Certified AI Security Specialist (CAISS), or GIAC Machine Learning Security ... remote-first culture - you\'ve come to the right place. What Does This Mean for You? At Aledade ...

CISSP, OSCP, CEH, Certified AI Security Specialist (CAISS), or GIAC Machine Learning Security ... remote-first culture - you've come to the right place. What Does This Mean for You? At Aledade, you ...

CISSP, OSCP, CEH, Certified AI Security Specialist (CAISS), or GIAC Machine Learning Security ... remote-first culture - you've come to the right place. What Does This Mean for You? At Aledade, you ...

Showing results 41-60

Machine Learning Intern Remote information

See Austin, TX salary details

$25.3K

$42.2K

$87.2K

How much do machine learning intern remote jobs pay per year?

As of Aug 12, 2026, the average yearly pay for machine learning intern remote 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 are the key skills and qualifications needed to thrive as a machine learning intern?

To thrive as a Machine Learning Intern (Remote), a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts—often supported by coursework or a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required, along with experience using data analysis libraries. Strong problem-solving skills, initiative, and clear communication are valuable soft skills for collaborating virtually and adapting to remote work environments. These skills and qualities enable effective contribution to projects, smooth team communication, and successful learning in a dynamic, distributed setting.

What types of projects can I expect to work on as a machine learning intern?

As a remote Machine Learning Intern, you can typically expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of models into production environments. You may also help with tasks like feature engineering, exploratory data analysis, and preparing technical documentation. Collaboration is usually done through virtual meetings and code repositories, and you'll often work closely with data scientists, engineers, and mentors who provide guidance and feedback. This hands-on experience helps you gain exposure to industry-standard tools and workflows, preparing you for more advanced roles in the future.

What does a machine learning intern do when working remotely?

A remote Machine Learning Intern typically assists with data collection, cleaning, and analysis, helps develop and test machine learning models, and collaborates with team members through virtual meetings and code repositories. They may also research new algorithms, document their work, and present findings to their supervisors. The role provides hands-on experience in applying machine learning concepts to real-world problems while working from a remote location.
What are the most commonly searched types of Machine Learning Remote jobs in Austin, TX? The most popular types of Machine Learning Remote jobs in Austin, TX are:
What job categories do people searching Machine Learning Intern Remote jobs in Austin, TX look for? The top searched job categories for Machine Learning Intern Remote jobs in Austin, TX are:
What cities near Austin, TX are hiring for Machine Learning Intern Remote jobs? Cities near Austin, TX with the most Machine Learning Intern Remote job openings:
Infographic showing various Machine Learning Intern Remote job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,209 per year, or $20.3 per hour.

Senior DevOps Engineer

Hired Recruiters

Austin, TX • On-site, Remote

$128K - $165K/yr

Full-time

Re-posted 27 days ago


Job description

Senior DevOps for Pienso
  • Funding $7M
  • Founded 2016
  • Remote
  • Salary $150k - $200k
  • Seed Company
  • Skills: Ansible, Bash, Python, Terraform, Docker, AWS, GCP, Azure
  • Citizenship and Green card only

You will work on cutting-edge technology to help architect Pienso's on-premise and multi-cloud infrastructure. You will help define best principles and practices for our microservices initiatives while building out a high-performance horizontally scaled machine learning architecture.
  • Have an expert level understanding of Terraform and Ansible in order to support both multi-cloud and on-premise customers.
  • Work closely with the core engineering team to iterate on existing Docker Swarm infrastructure and Jenkins CI pipelines strategies.
  • Have an expert-level understanding of AWS / GCP / Azure and related tooling.
  • Bring an expert-level understanding of Docker containerization and orchestration.
  • Ensure continued success of our containerization strategy by advising on persistence and parameterization requirements for new services.
  • Advise on infrastructure goals while keeping an eye on developer productivity and security.
  • Help ensure operational integrity by advising on uptime requirements, data backups, maintenance planning, and swarm migration strategies.

Requirements:
  • 5+ years of production DevOps experience
  • 3+ years of traditional software development experience
  • Professional experience with each of the major cloud providers ( GCP / Azure / AWS )
  • Must be fluent in Terraform / Ansible / Bash / Python
  • Strong understanding of Postgres Administration
  • Experience building and maintaining distributed microservices; debugging and monitoring live production environments with Docker.
  • Experience working at a venture-backed early-stage startup
  • B.S., or M.S., in Computer Science or equivalent work experience.

Our Stack:
  • Infrastructure: Terraform / Ansible / Docker Swarm / AWS / GCP / Azure
  • Languages: Python / JavaScript / TypeScript / Node
  • Storage: PostgreSQL / Redis / Elasticsearch / Minio
  • MicroServices / Continuous Deployment
  • On-Premise first / Multi Cloud