Principal Engineer - AI/ML at Egnyte
Mountain View, CA 94043, USA -
Full Time


Start Date

Immediate

Expiry Date

30 May, 25

Salary

0.0

Posted On

26 Apr, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Fine Tuning, Mentoring, Java, Independent Thinking, Python, Keras, Knowledge Sharing, Nlp, Docker, Cross Team Collaboration, Programming Languages, Communication Skills, Opencv, Deep Learning, Scala, Kubernetes

Industry

Information Technology/IT

Description

ABOUT EGNYTE

Egnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 22,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit www.egnyte.com.
Egnyte is seeking a Principal Engineer to drive innovation and leadership across AI initiatives, with a special emphasis on NLP solutions. As a Principal Engineer, you will play a pivotal role in shaping the future of Gen AI at Egnyte by defining technical strategy, overseeing complex machine learning architectures, and ensuring seamless integration of Gen AI solutions into our platform and applications at scale. You will mentor and guide engineering teams while providing expertise in state-of-the-art AI/ML practices, ensuring a robust production pipeline and the professional management of models.

YOUR QUALIFICATIONS:

  • Demonstrates independent thinking, capable of analyzing unique challenges, overcoming technical hurdles and delivering impactful AI solutions.
  • Hands-on experience with Generative AI techniques, including LLM fine-tuning, prompt engineering, and diffusion models.
  • Strong knowledge of generative AI frameworks and tools, such as Hugging Face, LangChain, or OpenAI APIs.
  • Experience in developing and scaling Generative AI solutions for NLP, vision, or multimodal tasks.
  • Advanced knowledge of modern AI frameworks, such as PyTorch, TensorFlow/Keras, Hugging Face Transformers, and JAX/Flax.
  • Expertise in Python, Docker, Kubernetes, and Helm.
  • Excellent communication skills, particularly in mentoring, knowledge sharing, and cross-team collaboration.
  • Strong experience in managing large-scale datasets and distributed computing environments, with a preference for Google Cloud Platform expertise.
  • Willingness to be in office 3 days per week.

BONUS SKILLS:

  • Proficiency in additional programming languages such as Java, Scala, or Go.
  • Familiarity with tools and frameworks like Kubeflow and OpenCV.
  • Proficiency in building and deploying Generative AI applications using state-of-the-art models like GPT, BERT, or Stable Diffusion and other deep learning techniques such as CNN, RNNs and GANs.
  • Experience publishing and presenting complex technical work to a broader audience.
Responsibilities
  • Leading the technical strategy and execution for AI projects across the organization.
  • Designing and driving Gen AI features on peta-byte scale datasets
  • Driving innovation in NLP and other ML solutions, ensuring alignment with Egnyte’s business goals.
  • Architecting, developing and overseeing scalable, production-ready AI systems.
  • Providing technical leadership and mentorship to the AI/ML engineering team, fostering growth and collaboration.
  • Conducting in-depth research and staying abreast of advancements in Gen AI and deep learning technologies.
  • Collaborating with cross-functional teams, including Product, to evaluate business requirements and determine optimal AI solutions.
  • Designing, deploying, and managing the lifecycle of AI/ML models, including retraining and monitoring for continuous improvement.
  • Reviewing code, offering best practices, and ensuring the delivery of high-quality solutions.
  • Representing Egnyte’s technical excellence through publications, presentations, and participation in industry events.
  • Opportunity to work on cutting-edge AI projects at scale.
  • Leadership role in a growing, innovative AI/ML team.
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