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

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 ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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Showing results 1-20

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 Jul 14, 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 engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

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.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
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 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 July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $42,209 per year, or $20.3 per hour.
Director, Predictive Analytics (U.S.A. Remote)

Director, Predictive Analytics (U.S.A. Remote)

Danaher

Austin, TX • On-site, Remote

$132K - $232K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Danaher rating

7.7

Company rating: 7.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz


Job description

Bring more to life.

Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?

Within Danaher the work our diagnostic businesses do saves lives-and we're all united by a shared commitment to innovate for tangible impact.

You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life.

We're accelerating the development of cutting-edge diagnostics to solve some of the world's most pressing health challenges. Across our diagnostics operating companies we are driving innovation through partnerships with top academic institutions and leading players in biopharma and translational research. We're bringing the best minds together to accelerate innovation and unlock the full potential of the latest scientific advances. Together, we're expanding access to precision diagnostics for millions of people worldwide - and we're using our unmatched global scale and proven playbook to make it happen, from hospital labs to mobile clinics. By helping providers, patients, and families get faster, more precise diagnostic results, we're improving treatment options and saving lives.

Learn about the Danaher Business System which makes everything possible.

The Director of Predictive Analytics will be dedicated to elevating HR through data-driven decision-making. Your expertise will guide the organization by designing, building, and deploying advanced models that inform critical workforce decisions, with a strong emphasis on workforce planning and talent outcomes.

This position reports to the Head of People Insights and is part of the Diagnostics People Insights Team and will be fully US remote.

Specific duties include but are not limited to:

  • Designing and implementing predictive models for workforce outcomes (attrition, quality of hire, high performance/potential).

  • Applying traditional and machine learning methods to large, complex HR datasets, ensuring data integrity and confidentiality.

  • Translating analytical findings into actionable insights through dashboards, reports, and presentations for HR leaders and business partners.

  • Advising HR functions on emerging trends in HR analytics, AI strategy, and compliance across global jurisdictions.

  • Leading and delivering high-impact projects such as attrition risk models, workforce forecasting, engagement-to-outcome modeling, and talent intelligence insights.

The essential requirements of the job include:

  • Master's or Ph.D. in Industrial-Organizational Psychology, Data Science, AI/ML, Statistics, or a related field, with the ability to translate complex analytics into executive-ready insights while ensuring alignment with global legal and regulatory requirements.

  • 8+ years of experience in HR analytics, including familiarity with HR systems (Workday, SuccessFactors) and regulated environments.

  • Strong experience with predictive modeling, statistical techniques.

  • Proficiency in Alteryx, R, Python, or other data science platforms

WithinDanaherDiagnostics,weoffer a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits atDanaher Benefits Info.

At DH Diagnostics we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. We ideally would like this position onsite, but is eligible for a remote work arrangement. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for DH Diagnostics can provide.

The salary range for this role is $132,500 - 232,000 USD Annually. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future.

This job is also eligible for bonus/incentive pay.

We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

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Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.


For more information, visit www.danaher.com.


Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law.


The U.S. EEO posters are available here.


For candidates who are based outside of New York City or who are applying for roles outside of New York City, for more information about conditions of any job offer please click here


We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1-202-419-7762 or applyassistance@danaher.com.


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About Danaher

Sourced by ZipRecruiter

We are a science and technology innovator committed to helping our customers solve complex challenges, and improving quality of life around the world. A global family of more than 20 operating companies, we drive meaningful innovation in some of today's most dynamic, growing industries.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Washington, DC, US

Year founded

1984