Sr. Principal Machine Learning Research Engineer

Mountain View, CA, United States
Employment: Full Time Experience: Senior
  • The research engineer will perform fundamental machine learning (ML) research and/or applied ML research
  • The fundamental ML research can be in any one or more of the following subject areas, but not limited to:
    • Geospatial and temporal stream data anomaly detection and classification
    • Reusable holdouts & differential privacy
    • High-performance feature selection
    • Automatic feature engineering
    • Sampling methods, experiment design, matrix completion under uncertain class priors, class imbalance and/or missing labels
    • Embeddings for mixtures of high-cardinality categorical, numerical data
    • Sparse graph & factorization models, metric learning, structural relational learning
  • The applied machine learning research can be in any one or more of the following subject areas, but not limited to:
    • Malware classification and detection using deep learning
    • Distributed machine learning systems and algorithms
    • Insider threat detection
    • Machine learning applied to physical security management
    • Phishing and targeted email attack detection
    • Active and human-assisted learning for security incidents
Minimum Qualifications
  • PhD in Mathematics, Applied Mathematics, Computer Science, or related STEM field
  • 0-3 years of experience
  • Ability to obtain work authorization in the United States
  • High levels of creativity and quick problem solving capabilities
  • Solid programming skills in Python
  • Strong skills in linear algebra, probability, or optimization
Preferred Qualifications
  • 3-7 years of experience in academia or industry
  • Demonstrated experience via internship and/or work experience with machine learning tasks and algorithms, including: feature engineering, feature selection, sampling, tree and tree ensemble techniques, boosting and bagging, linear algebra and optimization, performance assessment
  • Solid foundation in deep learning
  • Experience using TensorFlow

Symantec is an equal opportunity employer. All candidates for employment will be considered without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, state or local law.


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