Principal ML Engineer - US Remote

We are seeking a highly skilled and innovative Principal 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, focusing on integrating Machine Learning (ML) algorithms to create a robust, self-managing, and intelligent multi-cloud networking solution. The team will address a range of challenges, from analyzing customer support calls and logging (LLM and text analysis) to optimizing network traffic (graph ML) and statistical monitoring (anomaly detection).

Responsibilities:

• Design, develop, and deploy language models, including LLMs, for autonomous cloud networking.
• Integrate advanced graph ML algorithms to optimize network performance, reliability, and security.
• Develop ML models to forecast and analyze time series data to identify anomalies.
• Collaborate with cross-functional teams to identify ML-driven solutions for networking challenges.
• 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 maintain cutting-edge solutions.
• Develop and maintain comprehensive documentation for ML models, algorithms, and processes.
• Participate in code reviews, testing, and debugging for 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 focusing on networking or cloud infrastructure.
• Strong proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.
• Experience with LLMs and their integration into larger systems.
• Experience with graph ML and time series analysis.
• 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 ability to work independently and collaboratively.
• 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 $285,000-$300,000, plus benefits, 401(k) match, and equity. The pay range is determined by role, work location, job-related skills, level, experience, and relevant education. Your Talent Advisor can provide more details regarding salary ranges, benefits, and equity during the hiring process.

Benefits:

• US: 100% coverage of employee premiums and 88% of dependent(s) premiums for medical, dental, and vision coverage; 401(k) match; short and long-term disability; life/AD&D insurance; $1,000/year education reimbursement; flexible vacation policy.
• Outside the US: Comprehensive benefits package, subject to regional variations, including pension, private medical for you and dependents, generous holiday allowance, life assurance, long-term disability, and an annual wellbeing stipend.
• Total compensation package based on job-related knowledge, education, certifications, and location, per our aligned ranges.

About Aviatrix:

Aviatrix is the cloud networking expert. We’re on a mission to simplify cloud networking, ensuring companies remain agile. Trusted by over 500 leading enterprises, our cloud networking platform provides the visibility, security, and control needed to adapt and move ahead swiftly. Alongside the Aviatrix Certified Engineer (ACE) Program, the industry's leading multicloud networking and security certification, we empower the cloud networking community to stay at the forefront of digital transformation.

WE WANT TO INCLUDE YOU:

We embrace diverse journeys and believe that if the opportunity excites you, we would love to hear what you can bring to the table. Aviatrix is a community where everyone's career can grow, and we want to help you achieve your goals and be “your best YOU.” If you seek a role where you can enthusiastically start work each day, make a difference, and be part of something amazing, let's talk.

Aviatrix, Inc. is an equal opportunity employer and does not make hiring decisions based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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