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Egnyte

Internship: ML Engineer

Egnyte
Poland · Internship · Internship

Description

Internship: ML Engineer

Poznań, Poland

EGNYTE YOUR CAREER. SPARK YOUR PASSION.

Role

Egnyte is a place where we spark opportunities for amazing people. We believe that every role has a great impact , and every Egnyter should be respected. 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 23 ,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 .

Our AI Team enables Egnyte to enhance our product offerings through advanced AI solutions. As we expand our capabilities in AI Agentic Flows, the team is vital in innovating and implementing custom agents tailored to vertical-specific cases.

What You’ll Do

  • Innovate with LLM Features: Collaborate with our AI team to design and implement cutting-edge language model features that enhance user experience and drive engagement.
  • Develop Agentic Flows : Contribute to the creation of intelligent agentic flows that automate and streamline workflows, making it easier for customers to interact with their data.
  • Empower Document Insights: Help customers discover new ways to utilize their large sets of documents at Egnyte, transforming data into actionable insights while maintaining robust security practices.
  • And more:
    • Develop components such as agent supervision, intent detection, or parts of the RAG pipeline.
    • Deliver to production under guidance 🎖️
Your Qualifications

  • Student of Computer Science or a related field - at least after completion of the 2nd year of studies
  • Basic Understanding of ML Theory: Familiarity with core concepts in machine learning and deep learning
  • Python Skills: Some experience with Python programming, especially in using libraries for data manipulation and basic machine learning tasks.
  • Exposure to LLMs: Awareness of modern large language model libraries (like Hugging Face Transformers) and a desire to gain hands-on experience using them.
  • Eagerness to Learn: A strong interest in exploring ML tools and methodologies, with a willingness to deepen your knowledge and skills in AI development.
  • Team Player: Comfortable collaborating with teammates, seeking guidance from more experienced members, and being open to feedback.
  • Understanding of Impact: A basic awareness of how your contributions to LLM features and AI solutions can enhance customer experiences.

Benefits

  • Full-time internship for a period of 3 months (July - September) paid 5500 PLN/Civil contract
  • Depending on the course of internship and business needs we might offer possibility to continue this collaboration after the internship (we expect your availability at least 30h per week)
  • A structured internship program tailored toward your abilities
  • An experienced buddy who will guide you through the process

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. 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.

Key Skills

Ranked by relevance

ai cloud machine learning python spark security practices deep learning
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Posted
Apr 23, 2025
Type
Internship
Level
Internship
Location
Poznań
Company
Egnyte

Industries

Software Development

Categories

Engineering Information Technology

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