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Remote Machine Learning Robotics Jobs in Austin, TX

ActivTrak

Senior Data Engineer

Austin, TX · Remote

$105K - $142K/yr

... machine learning and analytics work scalable, observable, reliable, and economical. This is a ... Position is remote within US * Minimal travel * Limited physical demands This is an incredible ...

ActivTrak

Senior Data Scientist

Austin, TX · Remote

We're growing our Data Science team to ship production machine learning that powers ActivTrak ... Position is remote within US * Minimal travel * Limited physical demands This is an incredible ...

micro1 AI

AI Trainer - Microbiology Expert

Austin, TX · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

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 · 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 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 ...

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All JobsMachine Learning Robotics JobsRemote Machine Learning Robotics JobsRemote Machine Learning Robotics Jobs in Austin, TX

Remote Machine Learning Robotics information

See Austin, TX salary details

$32.2K

$63.2K

$98.6K

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

As of Sep 14, 2026, the average yearly pay for remote machine learning robotics in Austin, TX is $63,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $74,300.00 per year, depending on experience, location, and employer.

What is a remote machine learning robotics job?

A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.

What are the key skills and qualifications needed to thrive as a remote machine learning robotics engineer?

To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.

How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?

Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.

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

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech firms, finance, healthcare, research institutions

Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.

What are popular job titles related to Remote Machine Learning Robotics jobs in Austin, TX?

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

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

The top searched job categories for Remote Machine Learning Robotics jobs in Austin, TX are:

What cities near Austin, TX are hiring for Remote Machine Learning Robotics jobs?

Cities near Austin, TX with the most Remote Machine Learning Robotics job openings:

Remote Machine Learning Robotics jobs near you
Infographic showing various Remote Machine Learning Robotics job openings in Austin, TX as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 20% Part Time, and 3% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $63,220 per year, or $30.4 per hour.

Senior Data Engineer

Austin, TX • Remote

ActivTrak
Internet and IT • 51 - 200 employees
Learn more about ActivTrakexternal

$105K - $142K/yr

Full-time

Posted 19 days ago

Job description

We're growing our data engineering team to design and operate the production systems that make our machine learning and analytics work scalable, observable, reliable, and economical. This is a platform-ownership role: you're building the infrastructure a petabyte-scale data platform runs on, not executing tickets handed down from another team.

You'll work on problems like:

  • Designing and operating production data pipelines across a layered (bronze/silver/gold) data platform: sourcing, cleansing, and transforming data at scale
  • Solving incremental sync and stream processing as data volume and account count grow - a real, unsolved scaling problem for us today
  • Building regional data architecture that respects data residency and PII boundaries (e.g., data belonging to a region can't simply be centralized into one global store)
  • Designing the production systems, orchestration, and deployment mechanisms that turn Data Science's models and analysis into durable, monitored, reliable pipelines

Where this role starts and ends: Data Science owns problem formulation, features, model and scoring logic, evaluation, and model performance. You own the pipeline infrastructure, orchestration, deployment mechanisms, observability, scalability, and operational reliability that put their work into production. The primary ownership is clear, but you'll work together across that boundary when production issues span model and platform.

This is an individual contributor role with substantial ownership of the platform. It does not include people-management responsibilities.

Requirements

Must-Haves:

  • 5+ years designing and operating data pipelines in production at scale
  • Experience with batch and stream data processing, including incremental/streaming architectures
  • Strong Python and production-grade software engineering practices (testing, code review, version control, monitoring)
  • Demonstrably strong SQL
  • Experience with ETL/ELT pipeline design and orchestration

Nice-to-Haves:

  • Experience with regional/multi-region data storage and data residency constraints
  • Parallel dataframes (Dask, Spark, or similar)
  • API design/implementation (microservices, REST, etc.)
  • Cloud environment experience (GCP or AWS), Docker/Containers, Kubernetes
  • Machine learning deployment or serving experience

Benefits

Why Should You Apply?

  • Own the platform problem that determines how fast and how reliably ActivTrak's ML and analytics can scale
  • Meaningful scaling challenges: incremental/streaming processing, regional data residency, and petabyte-scale data across hundreds of millions of events per day
  • Small, senior team with real ownership and visibility to leadership

Work environment

  • Position is remote within US
  • Minimal travel
  • Limited physical demands 

This is an incredible opportunity to embark on an exciting journey with a dynamic, VC-backed company.  If you have a proven track record of creative thinking, a drive for learning, and a deep commitment to collaboration, we want to talk to you! 

ActivTrak is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. ActivTrak does not discriminate in employment on the basis of race, color, religion, sex, national origin, political affiliation, sexual orientation, marital status, disability, or age.

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