Granica is hiring a
Software Engineer

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Granica

πŸ’΅ $120k-$220k
πŸ“Remote - United States

Summary

Granica is hiring a Machine Learning Engineer for its Screen team to develop and deploy data privacy enhancement solutions across various industries. The role requires 4+ years of experience in delivering complex AI/ML solutions, proficiency in C++, Go, Python, and modern machine learning frameworks, and the ability to work three days per week in Mountain View HQ.

Requirements

  • Bachelor’s degree or International Equivalent in Computer Science, Mathematics, Physics, Information Science or related field; advanced degrees a plus
  • 4+ years experience in delivering complex AI/ML solutions and services in a production setting for cloud-native applications
  • High-caliber coding and development experience in C++, Go, and Python
  • Experience building and maintaining large scale, distributed and high performing data pipelines
  • Excellent communication skills to pair up with various internal stakeholders, including engineering and product leadership, as well as external customer-facing engineering teams (when needed)
  • Expertise in modern machine learning frameworks and technologies (eg. PyTorch, Transformers, Scikit-learn, NumPy, Pandas)
  • Practical experience with data classification methods and tools, including rule-based, deep learning, NLP, and hybrid methods

Responsibilities

  • Utilize traditional, deep learning, and generative AI capabilities to solve critical customer problems
  • Design, develop, and deploy data privacy enhancement solutions across various industries

Benefits

  • Generous 401(k) plan with matching to secure and plan for your financial future
  • Comprehensive premium health, dental, and vision insurance for you and your dependents
  • Early exercise provisions of equity options to participate in the company’s growth
  • Unlimited PTO to recharge and rejuvenate
  • Healthy lunch and dinner options catered daily at our offices
  • Immigration sponsorship and counseling
  • Regular team-sponsored events and offsites, including hackathons, that help build strong relationships with your colleagues

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