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Principal Engineer- AI - Mountain View California
Company: Egnyte
Location: Mountain View, California
Posted On: 02/05/2025
PRINCIPAL ENGINEER - AI/MLMOUNTAIN VIEW, CA - HYBRIDEGNYTE YOUR CAREER. SPARK YOUR PASSION.Egnyte is a place where we spark opportunities for amazing people. We believe that every role has meaning, and every Egnyter should be respected. With 22,000+ customers worldwide and growing, you can make an impact by protecting their valuable data. When joining Egnyte, you're not just landing a new career, you become part of a team of Egnyters that are doers, thinkers, and collaborators who embrace and live by our values: Invested Relationships Fiscal Prudence Candid ConversationsABOUT EGNYTEEgnyte 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 .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.WHAT YOU'LL DO: - 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.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.
- 10+ years 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.COMPENSATION:Our compensation reflects the cost of labor across multiple U.S. geographic locations, and pay varies based on defined markets. The standard base pay range for this position across the U.S. is $210k - $230k annually. Pay varies by work location and may also be dependent on job-related skills, knowledge, and/or experience. During the interview and/or hiring process, your recruiter can share more information about the compensation package specific to the role and job location.BENEFITS:
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