Applied Machine Learning Engineer
SpyCloud
full-time
Posted on:
Location Type: Remote
Location: Remote • Texas • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AirflowCloudPandasPythonPyTorchScikit-LearnSparkTensorflow
About the role
- 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
- Responsible for building scalable preprocessing and feature engineering pipelines to ensure robust model performance in production
- Own model monitoring and evaluation, designing feedback loops to continuously improve accuracy and effectiveness
- Partner with product managers and domain experts to define machine learning requirements and success criteria
- Rapidly prototype MVPs to test new features or signals
- Work with data engineering teams to access, clean, and transform diverse data sources
- Contribute to broader system design and architectural decisions involving machine learning components
- Clearly articulate model design choices, tradeoffs, and outcomes to both technical and non-technical stakeholders
- Maintain thorough documentation for models, pipelines, and evaluation methodologies
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
- Strong communication skills and the ability to translate complex problems into actionable solutions
- Experience with CI/CD, versioning (e.g., MLflow, DVC), and model monitoring in production environments
Benefits
- 401(k) with Employer Contribution
- Health, Vision, and Dental Insurance
- Health Savings Account (HSA) available with Employer Contribution
- Employer Paid Life, Short-term, and Long-term Disability Insurance
- Generous PTO Plan and 16 paid holidays per year
- Retirement Savings Plan with Employer Contribution
- Employer Provided Private Health Insurance and Healthcare Cashplan
- Employer Paid Life Insurance and Income Replacement
- Generous Holiday Plan and 14 paid holidays per year
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningfeature engineeringmodel monitoringmodel evaluationapplied mathPythonlinear algebraoptimizationstatisticsdata pipelines
Soft skills
communicationproblem-solvingcollaborationdocumentationstakeholder engagement