Overview
SOFTWARE ENGINEER - AI/ML • MOUNTAIN VIEW, CA - HYBRID
Egnyte is a secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. With 22,000+ customers worldwide, you can make an impact by protecting their data and contributing to AI/ML initiatives at scale. This is a hands-on role focusing on designing, implementing, and deploying AI systems to enhance Egnyte’s platform capabilities.
What you’ll do
- Contribute to the design, development, and deployment of AI/ML features for Egnyte’s platform.
- Build and optimize Generative AI solutions, such as NLP-based models, to enhance user experiences and platform functionalities.
- Collaborate with cross-functional teams, including Product and Data Science, to translate business requirements into AI-driven solutions.
- Develop, test, and deploy machine learning models, ensuring scalability, performance, and maintainability.
- Write clean, efficient, and production-ready code, following best practices in software engineering.
- Stay up to date with the latest advancements in AI/ML technologies and apply them to relevant projects.
- Participate in code reviews and contribute to improving engineering practices across the team.
- Monitor and maintain deployed models, ensuring continuous improvement and reliability.
Your qualifications
- 2+ years as a full-time Engineer at a SaaS or Software company (excluding Co-op, internships and academic research).
- Strong foundation in computer science, algorithms, and data structures.
- Programming experience using Java and integrating AI/ML models into production.
- Hands-on experience with machine learning techniques, including Generative AI (RAG pipelines, LLMs, fine-tuning, and prompt engineering).
- Experience working with Python and ML frameworks like PyTorch, TensorFlow/Keras, and Hugging Face.
- Familiarity with cloud platforms, such as GCP or AWS, and distributed computing environments.
- Knowledge of containerization tools like Docker and orchestration frameworks like Kubernetes.
- Solid communication skills, with a collaborative mindset and the ability to work effectively in cross-functional teams.
- Willingness to be in office 3 days per week.
Bonus skills
- Familiarity with LangChain, OpenAI APIs, or other Generative AI platforms.
- Experience with additional programming languages such as Go or Scala.
- Exposure to ML pipelines and frameworks like Kubeflow.
- Knowledge of computer vision or multimodal machine learning techniques.
- Demonstrated ability to present technical concepts to both technical and non-technical audiences.
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 $119k - $150k 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
- Modern and collaborative offices located in Mountain View, CA; other locations listed by Egnyte
- Gym, cell phone, and internet reimbursement
- Well-being apps and employee assistance program (EAP)
- Perks include discounted pet insurance, electronics, theme park tickets, travel, plus more
- Your own Egnyte account with lifetime access
Equal Opportunity
Egnyte, Inc. is an Equal Opportunity Employer that does not discriminate on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender, gender identity or expression, sexual orientation, marital status, military service and veteran status, disability, or any other characteristic protected by applicable laws.
Commitment To Diversity, Equity, and Inclusion
Egnyte celebrates differences and supports diversity across our workplace, products, customers, and communities. Questions or concerns about equal employment opportunities can be directed to
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