Applied Machine Learning Engineer

SpyCloud is on a mission to make the internet a safer place by disrupting the criminal underground. SpyClouds 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 youre driven to align your career with a fantastic mission look no further!

Were 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.

Youll own the full machine learning lifecyclefrom prototyping to deployment in productionand 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. Youll 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. Youll 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 :

• 5 years of experience building and deploying machine learning systems in production
• Strong background in applied math (linear algebra optimization statistics) and machine learning
• Proficiency in Python and key ML libraries : PyTorch TensorFlow scikit-learn XGBoost
• 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

Nice to Have :

Exposure to graph analytics knowledge graphs or cybersecurity frameworks like MITRE ATT&CK

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 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 :

Health Savings Account (HSA) available with Employer Contribution

U.K.-Based Benefits Perks (for Full Time Employees) :

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 companys exposed data visit SpyCloud.

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 were amazing but together were 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. Were 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 youll fit right in.

SpyClouds 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 .

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 : SpyCloud Careers

Key Skills

Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting

Employment Type : Full Time

Experience : years

Vacancy : 1