Resumen del rol

Staff Machine Learning Engineer

Requisitos y responsabilidades

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Responsibilities

  • Design, build, train, and deploy machine learning models to detect sensitive data and malicious threats (phishing emails).
  • Write production-level code to convert your ML models into working pipelines and participate in code reviews to ensure code quality and distribute knowledge.
  • Architect scalable, reliable, and maintainable machine learning pipelines, integrating seamlessly with existing backend systems.
  • Explore recent advancements in generative AI and LLMs as potential additions to our detection capabilities.
  • Work closely with machine learning engineers, product managers, designers, data scientists, and software engineers to align machine learning initiatives with business goals.
  • Stay ahead of the curve by exploring new algorithms, technologies, and frameworks to enhance our detection models.
  • Contribute to great engineering culture through active participation and mentorship.

What We’re Looking For

  • 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 how to build efficient end-to-end ML workflows and a strong drive to won the entire process of model development from conception through deployment, to maintenance..
  • Experience with machine learning libraries (e.g., scikit, Pandas)

What We’re Looking For

  • Experience in API development on top of a fast API
  • Experience tracking text embedding modeling
  • Strong knowledge of cloud platforms (e.g., AWS, GCP) and containerization tools (e.g., Docker, Kubernetes).
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Señal de seniorityLeadNivel del candidato
StackAWS, Docker, GCPSkills principales
Ubicación2 países aceptadosElegibilidad

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