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

HiddenLayer

AI Red Teamer

Austin, TX · On-site +1

Hands-on experience with adversarial machine learning techniques and tools (e.g., Foolbox ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

... Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline Must have * Understanding of various machine learning algorithms (e.g. SVM, Random Forests ...

David Joseph & Company

AI Engineer

Austin, TX · On-site +1

$140K - $200K/yr

Remote (United States) Compensation: $140,000 - $200,000 base Visa Sponsorship: None available ... About the Role As an AI Engineer, you will design, train, and deploy machine learning models and ...

Victory

Data Scientist

Austin, TX · On-site +1

We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required.

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 ... Design, build and implement machine learning models, including the development of AI Models and ...

micro1 AI

Engineering AI Evaluator (PhD)

Austin, TX · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Domain Expert - (STEM PhD)

Austin, TX · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Numentica LLC

Frontend Engineer React and AWS

Austin, TX · Remote

$30 - $38/hr

Remote (EST Work Hours) Duration: 12 Months to start with Rate Range: Upto $80/hr W2 or $88/hr C2C ... Familiarity with machine learning concepts. * Databricks exposure. * Experience with data ...

Continued

AI Engineer (Remote)

Austin, TX · Remote

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... machine learning and generative AI models at enterprise scale. This role will also help define best ...

continued

AI Engineer (Remote)

Austin, TX · On-site +1

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... machine learning and generative AI models at enterprise scale. This role will also help define best ...

Continued

AI Engineer (Remote)

Austin, TX · Remote

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... machine learning and generative AI models at enterprise scale. This role will also help define best ...

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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
AI Red Teamer

AI Red Teamer

HiddenLayer

Austin, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 6 days ago

Job description

AI Red Teamer

Location: United States - Fully Remote

ABOUT THE ROLE:

As an AI Red Teamer at HiddenLayer, you will play a pivotal role in the ML Threat Operations group. In this role will evaluate the security of AI systems, focusing on both predictive and generative AI models. You will identify vulnerabilities, simulate adversarial attacks, and provide actionable recommendations to improve the security of AI systems. The ideal candidate is a proactive problem solver with hands-on experience in AI security testing and a deep understanding of machine learning models and adversarial techniques.

WHO WE ARE:

HiddenLayer is a security solutions provider specializing in protecting Artificial Intelligence and agentic systems, models, and their underlying data. With a first-of-its-kind, non-invasive software approach to observing and securing AI and ML, we are helping to protect the world's most valuable technologies. Founded in March of 2022 by experienced security and AI professionals, HiddenLayer is based in Austin, Texas, and is backed by cybersecurity investment specialist firm Ten Eleven Ventures.

Our dedication to innovation has been recognized by prestigious awards such as RSA's Innovation Sandbox Winner, CB Insights AI 100, CyberTech 100, and SC's Most Promising Early-Stage Start-up.

WHAT YOU'LL DO:

  • Conduct end to end penetration testing on AI systems, with a focus on predictive and generative AI models.
  • Develop and execute adversarial attacks (e.g., evasion, poisoning, and inference attacks) to identify weaknesses in predictive models.
  • Develop and execute adversarial attacks (e.g., jailbreak, hallucination, context leakage, etc.) to identify weaknesses in generative AI models and applications built on top of them.
  • Collaborate with data scientists, engineering, and research teams to design and implement novel attacks and relate them back to actionable recommendations.
  • Stay current with the latest AI security research, trends, and adversarial tactics.
  • Produce detailed reports outlining vulnerabilities, risks, and actionable recommendations.
  • Contribute to the development of internal tools and frameworks for AI red teaming.

WHO YOU ARE:

  • 3+ years of experience in penetration testing, with at least 1 year focused on AI systems
  • Deep understanding of attack techniques specific to machine learning and artificial intelligence systems (data poisoning, inference attacks, model injection, prompt injection, jailbreaking, etc.)
  • Hands-on experience with adversarial machine learning techniques and tools (e.g., Foolbox, CleverHans, ART, Purple Llama, Garak, or proprietary solutions).
  • Excellent communication skills with the ability to articulate complex concepts clearly to both technical and non-technical audiences.
  • Understanding of machine learning concepts and algorithms.
  • Strong problem-solving skills and the ability to think creatively to anticipate potential attack vectors.
  • Proficiency in programming languages such as Python, and experience with AI frameworks like TensorFlow, PyTorch, or Keras.

WHY HIDDENLAYER?

We're moving at (what feels like) the speed of light. HiddenLayer is a venture-backed company and recently closed a $50M funding round led by M12, Microsoft's Venture Fund, and Moore Strategic Ventures.

Attracting and retaining the very best people is our #1 priority. That's why we offer our team best-in-class benefits, including:

  • Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional about getting the team together a couple of times a year. We offer a generous stipend for your home office setup, annual upgrades to ensure you have a comfortable workspace and a monthly stipend for internet/phone expenses.
  • Comprehensive Health & Wellness Benefits: Better than your average startup healthcare benefits. With five options to choose from, we cover 90% of the healthcare premium regardless of how many people you have on your plan. We also offer vision, dental, and 401k offerings.
  • Flexible Time Off: Enjoy unlimited and flexible time off for all salaried employees, in addition to 15 paid company holidays.
  • Commitment to Learning and Development: We support personal growth and education through a dedicated L&D fund that can be used for training, conferences, certifications and industry events.
  • Diversity, Equity, and Inclusion: We are committed to building a diverse team with individuals from various backgrounds, experiences, abilities, and perspectives, and we are proud to be an equal opportunity employer.

To learn more about HiddenLayer visit HiddenLayer and follow us on LinkedIn or Twitter.

HiddenLayer is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.