<div>SpyCloud is on a mission to make the internet a safer place by disrupting the criminal underground. SpyCloud’s solutions thwart cyberattacks and protect more than 4 billion accounts worldwide. Cybersecurity is an exciting, evolving space, and being at the forefront of the fight to disrupt cybercrime makes SpyCloud a special place to work. If you’re driven to align your career with a fantastic mission, look no further!</div>We’re looking for a Applied Machine Learning Engineer to design, build, and deploy ML-driven solutions for critical cybersecurity use cases like threat intelligence, incident detection, and risk scoring. You’ll own the full machine learning lifecycle—from prototyping to deployment in production—and work closely with engineering, product, and research teams to turn complex problems into scalable and efficient ML systems. This role is ideal for someone who thrives in applied, hands-on environments where impact and collaboration matter. What Youll Do: As an Applied Machine Learning Engineer, you will develop, train, and deploy machine learning models using real-world structured and unstructured data to power critical security features such as threat detection and alerting, entity resolution and risk scoring, and natural language-based tagging and classification. You’ll be responsible for building scalable preprocessing and feature engineering pipelines to ensure robust model performance in production. Additionally, you will own model monitoring and evaluation, designing feedback loops to continuously improve accuracy and effectiveness. Working closely with software engineers, youll help productionize these models in modern cloud-native environments like AWS. This role is highly collaborative. You’ll partner with product managers and domain experts to define machine learning requirements and success criteria, rapidly prototype MVPs to test new features or signals, and work with data engineering teams to access, clean, and transform diverse data sources. Your input will also contribute to broader system design and architectural decisions involving machine learning components. Strong communication and documentation skills are essential. You will clearly articulate model design choices, tradeoffs, and outcomes to both technical and non-technical stakeholders. Maintaining thorough documentation for models, pipelines, and evaluation methodologies is part of your workflow, along with participating in model and compliance reviews and, when needed, engaging in customer-facing discussions. Requirements: <ul> <li>5+ years of experience building and deploying machine learning systems in production</li> <li>Strong background in applied math (linear algebra, optimization, statistics) and machine learning</li> <li>Proficiency in Python and key ML libraries: PyTorch, TensorFlow, scikit-learn, XGBoost</li> <li>Experience building scalable data and ML pipelines (e.g., with Airflow, Spark, Pandas) Hands-on experience deploying ML models into cloud environments or containerized services</li> <li>Strong communication skills and the ability to translate complex problems into actionable solutions</li> <li>Experience with CI/CD, versioning (e.g., MLflow, DVC), and model monitoring in production environments</li> </ul> Nice to Have: <ul> <li>Experience with Natural Language Processing (NLP) for text classification, tagging, or entity extraction</li> <li>Familiarity with cybersecurity datasets or domains: threat intelligence, account takeover, ransomware, etc. Exposure to graph analytics, knowledge graphs, or cybersecurity frameworks like MITRE ATT&amp;CK</li> <li>Background working with unstructured data (e.g., log files, threat reports, breach datasets)</li> </ul> <div></div><div>SpyCloud is not sponsoring visas at this time. U.S.-Based Benefits + Perks (for Full Time Employees): At SpyCloud, we are committed to working alongside individuals who are equally passionate about preventing cybercrime, regardless of their department or role. Guided by our core values in all business decisions, we prioritize unity in our mission and ensure all SpyCloud employees have the support and benefits they need to stay focused on our goals. In addition to our engaging workspace in South Austin, flexible and remote-friendly work options, and competitive salary package, we offer our employees a comprehensive benefits package that includes: <ul> <li>401(k) with Employer Contribution</li> <li>Health, Vision, and Dental Insurance <ul> <li>Health Savings Account (HSA) available with Employer Contribution</li> </ul> </li> <li>Employer Paid Life, Short-term, and Long-term Disability Insurance</li> <li>Generous PTO Plan and 16 paid holidays per year</li> </ul> U.K.-Based Benefits + Perks (for Full Time Employees): <ul> <li>Retirement Savings Plan with Employer Contribution</li> <li>Employer Provided Private Health Insurance and Healthcare Cashplan</li> <li>Employer Paid Life Insurance and Income Replacement</li> <li>Generous Holiday Plan and 14 paid holidays per year</li> </ul> About SpyCloud: SpyCloud is on a mission to disrupt the cycle of cybercrime. As the leader in Cybercrime Analytics, our solutions thwart cyberattacks that originate from the use of stolen data, including account takeover, ransomware, and online fraud. More than 550 customers and partners trust SpyCloud to protect users identities, prevent targeted attacks, and unmask adversaries attempting to harm businesses and their customers. To learn more and see insights on your company’s exposed data, visit <a href="https://spycloud.com/">SpyCloud</a>. Our Mission: Our mission is to make the internet a safer place by disrupting the criminal underground. Together with our customers and partners, we aim to end criminals’ ability to profit from stolen information. Who We Are: SpyCloud is a place for innovative, collaborative, and problem-solvers to thrive. Individually, we’re amazing, but together, we’re unstoppable. We celebrate diversity and various perspectives and aim to create an inclusive and supportive environment for all. We are proud to be an Equal Employment Opportunity and Affirmative Action employer of choice. All aspects of employment decisions will be based on merit, performance, and business needs. We do not discriminate on the basis of any status protected under federal, state, or local law. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Women, minorities, individuals with disabilities, and protected veterans are encouraged to apply. SpyCloud complies with applicable state and local laws governing nondiscrimination in employment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. SpyCloud expressly prohibits any form of workplace harassment. Improper interference with the ability of SpyClouds employees to perform their job duties may result in discipline up to and including discharge. SpyCloud shares the right to work and participates in the E-Verify program in all locations. If you need assistance or accommodation due to a disability, you may contact us. Our Culture: Our culture is something really special. We’re all driven to disrupt the cybercriminal economy as we keep customer accounts safe from compromise. We support a truly worthy and serious mission, but we have fun doing it together. If you are driven, inventive, and collaborative, you’ll fit right in. SpyCloud’s Recruitment Policy: We will never ask an applicant for sensitive or personal financial information during the recruitment process. We advise all applicants seeking employment with SpyCloud to review available information on recruitment fraud. Anyone who suspects that they have been contacted by someone falsely representing SpyCloud should email <a href="mailto:careers@spycloud.com">careers@spycloud.com</a>. Compensation Transparency Policy:  At SpyCloud, we believe in transparency and fairness in compensation. We strive to ensure that all employees are fairly compensated for their contributions, and we openly discuss our compensation philosophy and structure. We are committed to providing competitive salaries and benefits packages to attract and retain top talent, and we encourage open dialogue and feedback regarding compensation matters. Learn more and apply: <a href="https://spycloud.com/company/careers/">SpyCloud Careers</a></div>

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