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Remote Cyber Security Machine Learning Jobs in Austin, TX

Aledade

Staff Security Engineer - IAM

Austin, TX · Remote

... Cybersecurity or a related field * 8+ years of experience in software or security engineering ... CISSP, OSCP, CEH, Certified AI Security Specialist (CAISS), or GIAC Machine Learning Security ...

Hired Recruiters

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 ...

Hired Recruiters

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:

SpyCloud

Senior Data Engineer

Austin, TX · On-site +1

$144K - $187K/yr

Cybersecurity is an exciting, evolving space, and being at the forefront of the fight to disrupt ... Hands-on experience preparing and managing data for machine learning and LLM workflows * Strong ...

Kake Group

Senior Software Engineer

Austin, TX · 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 ...

DomainTools

Full Stack Software Engineer

Austin, TX · Remote

This position is perfect for someone interested in building powerful cybersecurity products and ... machine-learning driven risk analytics delivered in near real-time. DomainTools offers a ...

DomainTools

Full Stack Software Engineer

Austin, TX · Remote

This position is perfect for someone interested in building powerful cybersecurity products and ... machine-learning driven risk analytics delivered in near real-time. DomainTools offers a ...

Huntress

Senior Instructional Designer

Austin, TX · Remote

$105K - $140K/yr

... remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all ... Design, build, and maintain modular technical learning experiences for the security organization ...

Huntress

Senior Technical Trainer- Security

Austin, TX · Remote

$105K - $140K/yr

... remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all ... Design, build, and maintain modular technical learning experiences for the security organization ...

Rokt

Senior Software Engineer

Austin, TX · 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 ...

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Showing results 41-60

All JobsCyber Security Machine Learning JobsRemote Cyber Security Machine Learning JobsRemote Cyber Security Machine Learning Jobs in Austin, TX

Remote Cyber Security Machine Learning information

See Austin, TX salary details

$40.1K

$121.8K

$178.4K

How much do remote cyber security machine learning jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote cyber security machine learning in Austin, TX is $121,809.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $140,800.00 per year, depending on experience, location, and employer.

What is the difference between Remote Cyber Security Machine Learning vs Remote Cyber Security Analyst?

AspectRemote Cyber Security Machine LearningRemote Cyber Security Analyst
Required CredentialsCertifications in cybersecurity and machine learning (e.g., CISSP, CompTIA Security+, Python, ML certifications)Certifications in cybersecurity (e.g., CISSP, CompTIA Security+)
Work EnvironmentFocus on developing algorithms, analyzing data, and automating security processesMonitoring security alerts, investigating incidents, and implementing security measures
Employer & Industry UsageTech companies, cybersecurity firms, organizations leveraging AI for securityOrganizations across industries needing security monitoring and incident response

Remote Cyber Security Machine Learning specialists develop AI-driven security tools, while Remote Cyber Security Analysts focus on monitoring and responding to threats. Both roles require cybersecurity knowledge, but the former emphasizes data analysis and machine learning skills, whereas the latter concentrates on security operations and incident management.

What is a remote cyber security machine learning specialist?

A Remote Cyber Security Machine Learning job involves using machine learning techniques to detect, prevent, and respond to cyber threats, all while working from a remote location. Professionals in this role develop and deploy algorithms that can identify patterns of malicious activity, automate threat detection, and enhance security protocols. They work with large datasets, collaborate with security teams, and continuously update models to address emerging threats. This position combines expertise in both cyber security and machine learning, making it critical for modern, data-driven security operations.

How does a remote cyber security machine learning specialist typically collaborate with cross-functional teams?

As a Remote Cyber Security Machine Learning professional, you'll often work closely with cybersecurity analysts, data engineers, and IT staff to design, implement, and refine machine learning models that detect and prevent threats. Collaboration happens primarily through virtual meetings, shared documentation, and project management tools, ensuring that everyone stays aligned despite geographic distances. Clear communication and proactivity are key, as you'll need to translate complex machine learning concepts into actionable insights for team members with varying technical backgrounds. Regular updates and feedback loops help ensure that models are robust, effective, and aligned with organizational security goals.

What are the key skills and qualifications needed to thrive as a remote cyber security machine learning specialist?

To excel in a Remote Cyber Security Machine Learning role, you need a strong background in computer science, cybersecurity principles, and machine learning algorithms, typically supported by a relevant degree and experience. Familiarity with tools like Python, TensorFlow, PyTorch, and security platforms such as SIEM systems, along with certifications like CISSP or CEH, is often required. Excellent analytical thinking, problem-solving skills, and clear remote communication set top performers apart. These abilities are crucial for proactively identifying and mitigating threats using advanced AI techniques while collaborating effectively in distributed teams.
What are popular job titles related to Remote Cyber Security Machine Learning jobs in Austin, TX? For Remote Cyber Security Machine Learning jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Cyber Security Machine Learning jobs in Austin, TX look for? The top searched job categories for Remote Cyber Security Machine Learning jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Cyber Security Machine Learning jobs? Cities near Austin, TX with the most Remote Cyber Security Machine Learning job openings:
Remote Cyber Security Machine Learning jobs near you
Infographic showing various Remote Cyber Security Machine Learning job openings in Austin, TX as of August 2026, with employment types broken down into 5% Internship, 45% Full Time, 5% Part Time, and 45% Contract. Highlights an 100% Remote job distribution, with an average salary of $121,809 per year, or $58.6 per hour.

Ex-MBB Strategy Consultant - AI Training (Remote)

Mindrift

Austin, TX • Remote

$60/hr

Part-time

Posted 23 days ago

Job description

Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.

Mindrift, powered by Toloka - a leading enterprise AI and machine learning data partner since 2014 - connects top domain experts with cutting-edge AI initiatives. Backed by Toloka's deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.

We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples - from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.

You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.

Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.

Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).

Who We're Looking For

Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:

  • Structuring ambiguous client problems into workable analytical plans
  • Building financial models, market analyses, or synthesized findings from messy inputs
  • Producing client-ready deliverables under time pressure
  • Forming and defending recommendations under uncertainty

No deep technical background is required - we will onboard you on the lightweight tools involved.

What You'll Do
  • Build realistic consulting project environments - create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.
  • Design structured consulting tasks for AI agents - break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.
  • Define evaluation criteria and quality standards - develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.

This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.

Skills & Requirements
  • 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&
  • Strong structured problem-solving and hypothesis-driven thinking
  • Ability to translate vague problems into clear analytical steps and deliverables
  • High attention to logical consistency and output quality
  • Independent, self-directed working style
  • Clear written English (B2+)
Compensation

On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

For this project, tasks are estimated to require around 25-30 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted. 

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