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AI/ML Architect
Confirmed live in the last 24 hours
Locations
Santa Clara, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Structures & Algorithms
Development Operations (DevOps)
Management
Pytorch
Tensorflow
Natural Language Processing (NLP)
Python
Writing
Requirements
  • Able to take on very complex problems, learn quickly, iterate, and persevere towards a robust solution
  • Product-focused and passionate about building truly usable systems
  • Collaborative and comfortable working across teams including data engineering, front end, product management, and DevOps
  • Responsible and like to take ownership of challenging problems
  • A good communicator, and facilitate teamwork via good documentation practices
  • Comfortable with ambiguity and thrive in designing algorithms for evolving needs
  • Intuitive in using the right type of models to address different product needs
  • Curious about the world and your profession, constant learner
  • A Ph.D. in Computer Science and Engineering or related field
  • 3+ years of experience in the field of Machine Learning, programming in Python, and building scalable distributed systems
  • Foundational knowledge of probability, statistics and linear algebra
  • Expertise in state-of-the-art AI algorithms such as deep-learning, NLP, probabilistic graphical models, graphical algorithms, reinforcement learning and time-series analysis
  • Knowledge of statistical analysis and modeling techniques, and model explainability
Responsibilities
  • Design and develop an ensemble of classical and deep learning algorithms for modeling complex interactions between people, software, infrastructure and policies in an enterprise environment
  • Design and implement algorithms for statistical modeling of enterprise cybersecurity risk
  • Apply data-mining, AI and graph analysis techniques to address a variety of problems including modeling, relevance and recommendation
  • Build production quality solutions that balance complexity and performance
  • Participate in the engineering life-cycle at Balbix, including designing high quality ML infrastructure and data pipelines, writing production code, conducting code reviews and working alongside our infrastructure and reliability teams
  • Drive the architecture and the usage of open source software library for numerical computation such as TensorFlow, PyTorch, and ScikitLearn
Balbix

51-200 employees

Company Overview
Balbix enables organizations to transform their cybersecurity posture and quantifiably reduce their breach risk.