Principal ML Engineer - US Remote

 

ABOUT THE ROLE

We are seeking a highly skilled and innovative Machine Learning Engineer to join our dynamic team. The successful candidate will play a crucial role in developing and implementing autonomous networking capabilities within our product. This position focuses on integrating Large Language Models (LLMs) and other Machine Learning (ML) algorithms to create a robust, self-managing, and intelligent multi-cloud networking solution.

Responsibilities

• Design, develop, and deploy ML models, including LLMs, for autonomous cloud networking.
• Integrate advanced ML algorithms to optimize network performance, reliability, and security.
• Collaborate with cross-functional teams to understand networking challenges and identify ML-driven solutions.
• Implement scalable and efficient ML pipelines for real-time network monitoring, analysis, and decision-making.
• Conduct research on the latest advancements in ML, AI, and networking to keep our solutions at the forefront of technology.
• Develop and maintain comprehensive documentation for ML models, algorithms, and processes.
• Participate in code reviews, testing, and debugging to ensure high-quality code and system performance.
• Provide mentorship and guidance to associates.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• 8+ years of experience in ML engineering, ideally with a focus on networking or cloud infrastructure.
• Strong proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.
• Experience with LLMs and their integration into larger systems.
• Solid understanding of networking concepts, protocols, and cloud architectures (e.g., AWS, Azure, GCP).
• Proven track record of deploying ML models in production environments.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication skills to articulate complex technical concepts to non-technical stakeholders.

 

Preferred qualifications

• Master's or PhD in Machine Learning, Artificial Intelligence, or a related field.
• Experience with autonomous systems or self-managing networks.
• Familiarity with reinforcement learning and its application to networking.
• Knowledge of network security principles and ML-based security solutions.
• Contributions to open-source ML or networking projects.

 

 

US Pay Range

The US annual base salary range for this full-time position is $260,000-$310,000 + benefits + 401(k) match + equity. The pay range is determined by the role, work location, job-related skills, level, experience and relevant education. [Certain roles are eligible to earn sales commission, depending on the terms of the applicable plan.] The range displayed is the minimum and maximum target base salary and is applicable only for new hires for the listed position located in the US. Your Talent Advisor can share more details regarding salary ranges, benefits, and equity for your location during the hiring process

 

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