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

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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 ...

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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:

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Showing results 1-20

All JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Leander, TX

Remote Machine Learning information

See Leander, TX salary details

$24.4K

$40.7K

$84.1K

How much do remote machine learning jobs pay per year?

As of Jun 26, 2026, the average yearly pay for remote machine learning in Leander, TX is $40,689.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,100.00 and $44,000.00 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 Leander, TX? The most popular types of Machine Learning jobs in Leander, TX are:
What are popular job titles related to Remote Machine Learning jobs in Leander, TX? For Remote Machine Learning jobs in Leander, TX, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Leander, TX look for? The top searched job categories for Remote Machine Learning jobs in Leander, TX are:
What cities near Leander, TX are hiring for Remote Machine Learning jobs? Cities near Leander, TX with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Senior Design Verification Engineer (remote position)

Senior Design Verification Engineer (remote position)

Correct Designs

Austin, TX • On-site, Remote

$134K - $164K/yr

Contractor

Medical, Retirement

Posted 12 days ago

Job description

Senior Design Verification Engineer
Looking for new challenges? Would you like the variety of a contract position along with long term stability and benefits? Correct Designs can give it all to you.
Correct Designs is currently seeking talented Verification Engineers with prior System Verilog UVM experience to work with our major clients both in Austin, TX, and nationwide. Opportunities span from projects in AI and Machine Learning, processor fabric subsystems, SOC/ASIC products for vision processing, aerospace FPGAs, medical electronics, RISC-V based SoC, ARM based peripherals, and mixed signal DSPs. Successful candidates for this role will support verification of advanced CPU/GPU based SOCs.
Correct Designs is NOT the typical contracting, staff augmentation firm. Our engineers have respected long term roles with generous hourly rates in excellent team environments. A typical contract may last 3 years, although we have shorter and even longer term work available. We are well respected in the Design Verification community with clients always seeking new CDI engineers. If you need a few months off between contracts you can take that break and know there will be plenty of work available when you return. If you like the stability of always working, simply move to the next contract with little time off. Correct Designs does provide health care and retirement plan benefits.
We are based in Austin, Texas with clients throughout the US. There are opportunities for both in-person and remote work.
Our current positions are filled but we have clients looking for skilled CDI engineers on a regular bases. Please submit your resume so we can match you up with upcoming projects.
Whether you are an experienced veteran looking for new challenges, or a talented engineer seeking to broaden your experience, we can offer exciting options for your career.
Correct Designs uses E-Verify to confirm work status eligibility.
RESPONSIBILITIES:
  • Verify complex design blocks using equally complex SV/UVM verification environments
  • Develop and execute pre-silicon verification test plans
  • Develop directed and random verification tests to validate block and IP functionality
  • Develop verification components and tools
  • Develop verification functional coverage using industry standard coverage analysis tools/methods
  • Debug regression fails
  • Replicate functional issues found in external environments or post-silicon; review/enhance tests to verify bug fixes

REQUIRED SKILLS AND EXPERIENCE:
  • 8 or more years of proven verification experience in a hardware development setting
  • Strong background in SystemVerilog and UVM verification methodologies
  • Strong debug skills and experience with debug tools such as DVE/Verdi
  • Proficiency in Object Oriented programming, computer architecture and data structures
  • Strong analytical/problem solving skills and pronounced attention to details
  • Strong interpersonal and communication skills
  • Must be comfortable working across geographies

DESIRED SKILLS:
  • Experience architecting/developing verification environments and infrastructure, including scripting using Perl, Ruby, Make, or similar
  • Experience in other related domains such as formal verification, RTL design, or software development

EDUCATION:
Bachelor or Master's in Electrical Engineering, Computer Engineering, or Computer Science

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