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Remote Machine Learning Jobs in Austin, TX (NOW HIRING)

Senior Software Engineer

Austin, TX ยท 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 ...

Manager, Data Scientist

Austin, TX ยท On-site +1

$176K - $242K/yr

Architect and develop enterprise AI platforms leveraging Azure AI, Databricks, Python, vector databases, graph databases, cloud-native technologies, and modern machine learning frameworks. Build and ...

Senior Software Engineer-Engineering Enablement

Austin, TX ยท On-site +1

$121K - $160K/yr

Databases & Cloud Infrastructure (Private & Public) Machine Learning & AI Platform Enablement We're looking for experienced Senior Software Engineers who operate as technical leaders , capable of ...

Senior Software Engineer-Engineering Enablement

Austin, TX ยท On-site +1

$121K - $160K/yr

Databases & Cloud Infrastructure (Private & Public) Machine Learning & AI Platform Enablement We're looking for experienced Senior Software Engineers who operate as technical leaders , capable of ...

Senior Software Engineer

Austin, TX ยท 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 ยท 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 ยท 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 ...

Engineering Manager, Big Data

Austin, TX ยท Remote

$190K - $240K/yr

... owning data pipelines for machine learning models and AI powered features, including ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

Engineering Manager, Big Data

Austin, TX ยท Remote

$190K - $240K/yr

... owning data pipelines for machine learning models and AI powered features, including ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

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 PBC ...

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 PBC ...

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 PBC ...

... machine learning. At Honor, we're not building technology for technology's sake. We're building ... We use national average to determine pay as we are a remote first company. Individual pay is based ...

Staff Software Engineer

Austin, TX ยท On-site +1

$470K - $615K/yr

The Rokt ecommerce Network leverages proprietary machine learning recommendation systems, powering ... Hybrid work structure Rokt has a 4 day in-office, 1 day remote hybrid structure, with a flexible ...

Showing results 41-60

Remote Machine Learning information

See Austin, TX salary details

$25.3K

$42.2K

$87.2K

How much do remote machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote machine learning 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 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.

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

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

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

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

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

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

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

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

Infographic showing various Remote Machine Learning job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $42,209 per year, or $20.3 per hour.

Senior Software Engineer

Kake Group

Austin, TX โ€ข Remote

$125K - $165K/yr

Contractor

Re-posted 15 days ago


Job description

We are looking for Senior Software Engineers to join our team and contribute to engineering initiatives at the intersection of software development and artificial intelligence. In this role, you will apply deep technical expertise to build robust systems, support technical validation processes, and help ensure engineering quality across complex software environments.
The ideal candidate has strong hands-on experience across the full development stack, is comfortable working with ambiguity, and takes pride in writing reliable, well-tested software.
Key Responsibilities
  • Design and build software environments that reflect modern development workflows, including codebases, infrastructure, and supporting context such as documentation, tickets, and technical history
  • Write and maintain automated functional and integration test suites that accurately validate expected system behavior across different implementation approaches
  • Collaborate with cross-functional stakeholders to ensure technical accuracy, consistency, and overall engineering quality across projects and workflows
  • Review results, analyze failures, and iteratively improve testing methodologies, validation standards, and technical processes
  • Develop engineering tasks and technical validation criteria for complex software scenarios, ensuring requirements are clearly defined, testable, and technically sound
  • Contribute to internal documentation, engineering standards, and continuous process improvements

Core Requirements
  • 5+ years of professional software engineering experience
  • Strong proficiency in Python and experience with FastAPI or similar backend frameworks
  • Experience working across multiple layers of the stack, including backend systems, APIs, and frontend applications
  • Hands-on experience with Docker and containerized development environments
  • Experience working with PostgreSQL, Redis, and Kafka
  • Strong experience writing functional and integration tests
  • Excellent written and verbal communication skills in English
  • 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 technical evaluation frameworks
  • Experience working with distributed systems or large-scale applications
Additional
  • US Timezone Overlap: 6h–7h daily PST

Please Note: Due to the high volume of applications, only shortlisted candidates will be contacted.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.