Machine Learning Engineer 2 - Illumio
On-site work model with 3 days in office/week in Sunnyvale, CA
About the Role
As a Machine Learning Engineer with a focus on Gen AI, you will be building a pioneering product focused on solving cybersecurity issues faced by businesses of all scales. You will lead the design and build a zero-trust security advisor, a conversational interface to interact with security policies and traffic data. You will build LLMs for code generation and UI interactions, providing vital security insights to organizations about their infrastructure.
To excel in this role, you must possess competent knowledge of Gen AI tooling and fine-tuning pretrained models. You should have comprehensive experience in building 0->1 ML products, transition initial prototypes to production-ready large-scale machine learning models.
About the Team:
Illumio's new Machine Learning (ML) team embodies a culture of thought leadership, independence, and responsibility, holding a significant and highly visible role within our Engineering division. This dynamic team is tasked with developing state-of-the-art ML solutions for complex cybersecurity challenges. Working directly with the leadership team, the team shapes Illumio's strategic direction and reinforces our leadership in Zero Trust Segmentation. In a world facing some of the greatest cybersecurity threats in history, the impact of our ML team is profound and far-reaching.
We're looking for engineers who are ready to bring diverse perspectives, innovate relentlessly, and tackle challenging enterprise security issues head-on, leaving a significant mark in the cybersecurity landscape.
Key Responsibilities:
- Employ state-of-the-art pre-trained LLM/Azure Open AI models to build the conversational interface for our customers to analyze, summarize information and interact with Illumio's UI/APIs
- Perform fine-tuning of open source local LLM models to improve the responses for users and handle complex queries
- Devise and run experiments with NLP preprocessing and other techniques to improve the performance of models on accurate code generation
- Collaborate with seasoned machine learning, full-stack and cybersecurity engineers to deploy large-scale models to production
- Proactively contribute to cultivating a new team and product domain, offering strategic impetus shaping the roadmap and vision for the product.
Skills and Qualifications:
- Proficiency in GPT/OpenAI API and prompt engineering
- Comprehensive grasp on Natural Language Processing techniques
- Experience in implementing Retrieval-Augmented Generation (RAGs) to leverage structured and unstructured data
- Hands-on model building with Hugging Face, LangChain or other production-ready frameworks
About Illumio:
Illumio, the pioneer and market leader of Zero Trust segmentation, prevents breaches from becoming cyber disasters. Illumio protects critical applications and valuable digital assets with proven segmentation technology purpose-built for the Zero Trust security model. Illumio ransomware mitigation and segmentation solutions see risk, isolate attacks, and secure data across cloud-native apps, hybrid and multi-clouds, data centers, and endpoints, enabling the world’s leading organizations to strengthen their cyber resiliency and reduce risk.
Illumio believes that an environment of unique backgrounds, experiences, viewpoints, and individual contributions drives our success and makes us stronger together. We are dedicated to creating and maintaining a diverse culture and emphasizing inclusion and belonging.
Pay Range:
$ 152,000 - $ 175,000
The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, location, experience, knowledge, skills, abilities, as well as internal equity, alignment with market data, or applicable laws.
Benefits:
At Illumio we offer a wide range of benefits to our eligible team members. Our benefit programs vary by location and can include Medical, Dental, Vision Coverage – Health and Dependent Savings Accounts – Life and Disability Programs – Paid Parental Leave – Voluntary Benefit Programs – Company Sponsored Wellness Program – Wellness Reimbursement Program - Retirement Savings – Equity Opportunities – Paid time off and Paid Holidays – Employee Incentive Program.#LI-TD1 #LI-HYBRID
Last updated: 4 hours ago
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