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Material Security

Staff Machine Learning Engineer

Builds, deploys, and maintains ML models to detect phishing, sensitive data, and threats in emails/drives. Requires 8+ years ML experience, strong data pipeline skills, and familiarity with LLMs/generative AI.

225k – 255kSan Francisco, CAML EngineeringRemote8+ YOE
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About the role

Responsibilities

  • Design, build, train, and deploy machine learning models to detect sensitive data and malicious threats (phishing emails).
  • Write production-level code to convert ML models into working pipelines and participate in code reviews.
  • Architect scalable, reliable, and maintainable machine learning pipelines, integrating with existing backend systems.
  • Explore recent advancements in generative AI and LLMs for detection capabilities.
  • Work closely with machine learning engineers, product managers, designers, data scientists, and software engineers.
  • Stay ahead with new algorithms, technologies, and frameworks.
  • Contribute to engineering culture through participation and mentorship.

Requirements

Must Haves

  • B.S., M.S. or Ph.D. in Computer Science or related technical field or relevant work experience.
  • 8+ years (or Ph.D. with 6+ years) of experience in machine learning, data science, or related fields, with at least 3 years in a senior or staff engineering role.
  • Deep understanding of supervised/unsupervised learning techniques and LLMs.
  • Strong experience writing efficient and effective data pipelines.
  • Practical knowledge of building efficient end-to-end ML workflows from conception through deployment and maintenance.
  • Experience with machine learning libraries (e.g., scikit-learn, Pandas).

Nice to Haves

  • Experience in API development on top of FastAPI.
  • Experience tracking text embedding modeling.
  • Strong knowledge of cloud platforms (e.g., AWS, GCP) and containerization tools (e.g., Docker, Kubernetes).

Compensation

$225,000-255,000

Skills

Machine LearningLLMsGenerative AIscikit-learnpandasData PipelinesSupervised LearningUnsupervised LearningFastAPIKubernetesDockerAWSGCPText Embeddings

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