Principal Engineer - AI/ML

Mountain View, California, United States

Egnyte

Egnyte's AI-powered platform unlocks organizations cloud content's full potential. 22,000+ businesses trust Egnyte to manage, secure, and govern their content.

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PRINCIPAL ENGINEER - AI/ML

MOUNTAIN VIEW, CA - HYBRID 

 

EGNYTE 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 Conversations 

  

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.

 

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.
  • 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.

 

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: 

  • Competitive salaries and comprehensive benefits 
  • Flexible hours and generous time off (RTO, Responsible Time Off) to help support your work-life balance 
  • Paid holidays and sick time 
  • 401(k) Retirement Plan (Traditional, Roth and Mega Backdoor Roth) 
  • Health Savings Account (HSA) with a generous employer contribution 
  • Up to 12wks of paid Parental and Adoption Leave to help you grow your family 
  • Modern and collaborative offices located in Spokane, WA; Draper, UT; Raleigh, NC; Mountain View, CA; Reading, England, and Poznan, Poland 
  • Gym, cell phone, and internet reimbursement 
  • Free well-being apps such as Peloton, Carrot, and Spring Health for Guardian are offered, as well access to our Employee Assistance Program (EAP) 
  • Perks include discounted pet insurance, electronics, theme park tickets, travel, plus more 
  • Your own Egnyte account with lifetime access 

  

Equal Employment Opportunity 

Egnyte, Inc. is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, pregnancy-related conditions, and lactation), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Egnyte, Inc.'s management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs, and general treatment during employment. 

  

Commitment To Diversity, Equity, and Inclusion: 

At Egnyte, we celebrate our differences and thrive on our diversity for our employees, our products, our customers, our investors, and our communities. Our global Egnyte Employee Communities (EECs) support representation and inclusion across our diverse workplace. Egnyters are encouraged to bring their whole selves to work and to appreciate the many differences that collectively make Egnyte a higher-performing company and a great place to be. 

 

Any employees with questions or concerns about equal employment opportunities in the workplace are encouraged to bring these issues to the attention of hr@egnyte.com. Egnyte, Inc. will not allow any form of retaliation against employees who raise issues of equal employment opportunity. If employees feel they have been subjected to any such retaliation, they should contact hr@egnyte.com. To ensure the workplace is free of artificial barriers, violation of this policy including any improper retaliatory conduct will lead to discipline, up to and including discharge. All employees must cooperate with all investigations conducted pursuant to this policy. 

#LI-DNI

 

 

 

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Tags: APIs Architecture BERT Deep Learning Diffusion models Docker Engineering GANs GCP Generative AI Google Cloud GPT Helm Java JAX Keras Kubeflow Kubernetes LangChain LLMs Machine Learning ML models NLP OpenAI OpenCV Prompt engineering Python PyTorch Research Scala Security Spark Stable Diffusion TensorFlow Transformers

Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Insurance Parental leave Salary bonus Startup environment Team events

Region: North America
Country: United States

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