ZipRecruiter

Log In

2

Remote Machine Learning Jobs in Texas (NOW HIRING)

E-Solutions

AI/ML Tech Lead / Architect

Richardson, TX · On-site +1

... they can work remote. This is the least preferred option. Detailed * Collaborate with cross ... Advanced experience in production grade machine learning model design and implementation including ...

MedReview

Data Scientist

Austin, TX · On-site +1

As a part of our team, you will leverage your analytical skills and expertise in machine learning ... However, for the right fit, we may consider remote . Responsibilities: * Problem Identification:

BNSF Railway

Sr/Staff Data Scientist (Remote - US)

TX · On-site +1

$165K - $300K/yr

Remote US Anticipated Start Date: 06/01/2026 The US base salary range for this full-time position ... Lead the development and deployment of advanced machine learning models to forecast outcomes and ...

Performacentric

ML Engineer

Dallas, TX · On-site +1

Machine Learning Engineer (Llama AI Platform) Location: Remote (Preferred U.S. Time Zones) Employment Type: Full-Time Company: Performacentric About Performacentric Performacentric helps small and ...

Vogo

Data Scientist

Dallas, TX · On-site +1

From downtown hotels and luxury resorts to private vacation rentals and remote cabins, Vogo offers ... This role will own the Machine Learning models that drive our business from development to ...

micro1 AI

Attorney - Remote

Brownsville, TX · Remote

$100 - $150/hr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

micro1 AI

Attorney - Remote

Pearland, TX · Remote

$100 - $150/hr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

micro1 AI

Attorney - Remote

Allen, TX · Remote

$100 - $150/hr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

micro1 AI

Attorney - Remote

Fort Worth, TX · Remote

$100 - $150/hr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

micro1 AI

Lawyer - Remote

Beaumont, TX · Remote

$100 - $150/hr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

next page

Showing results 1-20

All JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Texas

Remote Machine Learning information

See Texas salary details

$23.8K

$39.7K

$82K

How much do remote machine learning jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote machine learning in Texas is $39,673.00, 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 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.

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.

Can I work remotely as a machine learning engineer?

Yes, many machine learning engineer roles are available for remote work, especially in companies that support flexible or distributed teams. Remote positions often require strong skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch, along with good communication skills. However, some roles may require on-site presence for collaboration or access to specialized hardware.

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.

Which 5 jobs will survive AI?

Remote machine learning roles such as data scientists, AI researchers, machine learning engineers, AI product managers, and AI ethics specialists are expected to persist as AI advances. These jobs require specialized skills in programming, statistical analysis, and domain expertise that are difficult to fully automate. Continuous learning and proficiency in tools like Python, TensorFlow, or PyTorch are essential for these roles.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in competitive markets.

Are ML jobs in demand?

Machine Learning (ML) jobs are in high demand across various industries such as technology, finance, healthcare, and retail. The growth is driven by increasing adoption of AI solutions, data-driven decision making, and the need for expertise in programming, data analysis, and model deployment, making ML a promising career path.

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 Texas? The most popular types of Machine Learning jobs in Texas are:
What are popular job titles related to Remote Machine Learning jobs in Texas? For Remote Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Texas look for? The top searched job categories for Remote Machine Learning jobs in Texas are:
What cities in Texas are hiring for Remote Machine Learning jobs? Cities in Texas with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Staff Machine Learning Engineer - Content and Contributor Intelligence (Remote - United States)

Staff Machine Learning Engineer - Content and Contributor Intelligence (Remote - United States)

Yelp, Inc

Austin, TX • Remote

Full-time

Posted 3 days ago

Yelp rating

8.2

Company rating: 8.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

77th of 191 rated software companies

Job description

Summary

Yelp engineering culture is driven by our values: we're a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we're all about helping our users, growing as engineers, and having fun in a collaborative environment.

Yelp's mission of connecting people with great local businesses requires the use of cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) to scale across a vast and diverse base of users and businesses spanning various geographical locations. As a Staff-level ML Engineer on the Content Contributor Intelligence team, you will help build connections across millions of users and business listings. Your work will involve using cutting-edge industry tools, including neural networks (NNs), large language models (LLMs), and various embedding techniques for text, images, and videos. Additionally, you will apply traditional ML methods such as XGBoost and linear models to enhance our systems.  You'll be responsible for turning raw data into valuable signals and building ML systems end-to-end. This includes the full ML lifecycle from training models to deploying them in production, as well as contributing to the ML platforms these models rely on. 

This opportunity is fully remote and does not require you to be located in any particular state within the US. We welcome applicants from throughout the US. We'd love to have you apply, even if you don't feel you meet every single requirement in this posting. At Yelp, we're looking for great people, not just those who simply check off all the boxes.

What you'll do:
  • Conduct end-to-end analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
  • Mentor and guide junior engineers, fostering a culture of learning and technical excellence.
  • Work with large and complex textual and visual datasets.
  • Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services.
  • Work in the contributor and visual intelligence team on text and visual understanding, along with fine tuning transformer models to derive embeddings for multiple input types
  • Productionize and automate model pipelines within Python services.
  • Drive and advocate adoption of best practices in ML development and operations, and mentor newer engineers in those practices.
What it takes to succeed:
  • Experience developing and productionizing machine learning models, particularly in neural networks, computer vision and LLMs including their supported data pipelines.
  • Experience with machine learning using packages such as PyTorch, TensorFlow, Spark MLlib, XGBoost, and Sklearn.
  • Strong coding skills in Python or equivalent (Java, C++).
  • Solid understanding of engineering and infrastructure best practices.
  • The curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal.
  • We highly value experience of working with LLMs, utilizing LLM APIs (OpenAI, Bedrock, etc), prompt engineering and evaluation.
  • A Bachelor's Degree or an equivalent work experience is required
What you'll get:
  • There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience. Based on the anticipated level of experience we are seeking, we expect the compensation range for this role to be between $112,000 and $269,000. You may also be offered a bonus, restricted stock units, and benefits.
  • This opportunity has the option to be fully remote in all locations across the US.
  • You can find more information about Yelp's five star benefits here!
ClosingAt Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education - and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include "Playing Well With Others" and "Authenticity." We're proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability. Actual salary offered may vary based on multiple factors, including but not limited to, an individual's location and experience.  We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law (including, for example, the San Francisco Fair Chance Ordinance for roles based in San Francisco, the Los Angeles County Fair Chance Ordinance for roles based in the unincorporated areas of Los Angeles County, and the California Fair Chance Act for roles based in California). Where required by law, a criminal background check will not be conducted until after a conditional offer of employment is made, and any evaluation of a candidate's criminal background check will be subject to an individualized assessment that takes into account the candidate's specific criminal records and the responsibilities and requirements of the particular role. We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 415-969-8488. Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes. #LI-Remote 

Recruiting and Applicant Privacy Notice

Employment Type: FULL_TIME

Apply