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Staff Software Engineer - AI/ML

Egnyte

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Job Description

Job Overview

Egnyte is seeking an experienced Staff Engineer to lead AI initiatives with a focus on NLP solutions. The role involves defining technical strategy, overseeing machine learning architectures, and integrating AI solutions into the platform. The engineer will mentor a team while ensuring robust practices in AI/ML and managing production pipelines.

Technical Requirements

Required Skills
  • • Python
  • • Docker
  • • Kubernetes
  • • Helm
  • • Generative AI techniques
  • • NLP solutions
  • • Java
Preferred Skills
  • • Hugging Face
  • • LangChain
  • • OpenAI APIs
  • • PyTorch
  • • TensorFlow
  • • Keras
Experience Level

8+ years in managing large-scale datasets and distributed computing environments

Responsibilities

  • • Lead technical strategy and execution for AI projects
  • • Architect and develop scalable AI systems
  • • Mentor AI/ML engineering team
  • • Conduct research on advancements in Gen AI and deep learning
  • • Collaborate with cross-functional teams to evaluate business requirements
  • • Manage lifecycle of AI/ML models
  • • Review code and ensure high-quality solutions
  • • Represent technical excellence through publications and presentations

Technical Environment

Languages

Benefits & Perks

  • • Competitive salaries and comprehensive benefits
  • • Flexible hours and generous time off
  • • Paid holidays and sick time
  • • 401(k) Retirement Plan
  • • Health Savings Account with employer contribution
  • • Up to 12 weeks of paid Parental and Adoption Leave
  • • Modern collaborative offices
  • • Gym, cell phone, and internet reimbursement
  • • Free well-being apps and Employee Assistance Program
  • • Discounted pet insurance and electronics

Additional Information

Location
Mountain View, California
Type
Full-time
Compensation
$210k - $260k annually

About Egnyte

Egnyte provides a secure content cloud that helps businesses increase productivity, gain AI insights, and govern mission-critical content.

Company Size
unknown
Categories
Biotech, Pharmaceuticals & Healthcare Business Productivity & Collaboration Cannabis & Wellness Cloud Computing & Storage Cloud Content Collaboration cloud storage Content Management Data Governance Data Security File Sharing Governance Semiconductor & Hardware Software & SaaS