ML Platform Engineer | Cybersecurity Startup

  • Location

    San Francisco

  • Sector:

    Data Science

  • Job type:


  • Contact:

    Amelia Jones

  • Contact email:


  • Startdate:


  • Consultant:

    Amelia Jones

Intelletec has partnered with a rapidly expanding, revenue-generating CyberSecurity startup. They are looking for an experienced ML Platform Engineer to help build scalable production systems to improve the capacity and speed on how they develop and deploy their language models. 


You will directly contribute to the core product by improving existing algorithms that highly scale in the production environment. 


  • Develop distributed training infrastructure for faster training of models.

  • Efficiently deploy ML models into production.

  • Create automation pipelines for continuous training, evaluation, and deployment of models.

  • Create the interfaces, infrastructure, and clusters to process data efficiently.

  • Establish scalable, efficient, automated processes for data analyses, model development, validation, and implementation.

  • Collaborate with data scientists and software engineers to create and deploy new product features.


  • 4+ years of relevant work experience automating ML pipelines and deploying ML models in production environments.

  • Experience designing and building systems in a microservices-based architecture

  • Experience working with extremely large datasets, including collecting and preparing data, as well as training and inferencing models.

  • Experience with deploying ML models as a web service and building scalable machine learning systems spanning multiple teams or organizations

  • Strong foundations in ML/NLP methods and algorithms

  • Extensive experience with ML deployment frameworks

  • Familiarity with containerized applications, databases, and distributed computing


On offer:

  • Highly competitive compensation package

  • Fully remote role

  • Unlimited PTO

  • Wellness & Professional development budget

#LI-AJ1 #LI-Remote