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Staff Machine Learning Engineer

SecurityScorecard

$75,000 - $90,000
Jun 11, 2025
Remote, US
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SecurityScorecard is looking to enhance cybersecurity resilience for organizations worldwide by developing and deploying AI and ML products that empower customers to manage cybersecurity risk.

Requirements

  • Strong programming skills in Python
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn
  • Proficiency in data manipulation and analysis using tools such as Polars, Pandas, NumPy, or SQL
  • Solid understanding of algorithms, statistics, and data structures
  • Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
  • Knowledge of CI/CD pipelines and version control systems (e.g. Git)
  • Familiarity with Linux/Unix command line tools
  • Hands-on experience with LLMs, RAG, LangChain, or LlamaIndex (preferred)

Responsibilities

  • Design and implement ML algorithms
  • Build scalable data pipelines
  • Deploy reliable models into production environments
  • Collaborate with cross-functional teams to integrate ML solutions into products
  • Conduct research to stay ahead of emerging technologies
  • Ensure models perform optimally through ongoing monitoring and refinement

Other

  • 7+ years of experience or equivalent demonstrable skills in ML Engineering, Data Science or related discipline
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, or a related field
  • PhD degree in Computer Science, Engineering, Mathematics, Physics or a related field (preferred)
  • Competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more
  • Estimated total compensation range for this position is $75,000 - $90,000 (USD base plus bonus)