Machine Learning Engineer - Remote

Overview

Forward Networks is revolutionizing the way large networks are managed. The Forward Enterprise platform delivers a vendor-agnostic "digital twin" of the network, based on a mathematical model. The platform scales to support hundreds of thousands of network devices, whether cloud, hybrid cloud, or on-prem. It serves as a single source of truth for the network, enabling network operators to instantly verify security posture, accelerate troubleshooting, avoid outages, and modernize network management.

In Short

• Design machine learning systems.
• Research and implement appropriate ML algorithms, applications and tools.
• Select appropriate datasets and data representation methods.
• Run machine learning tests and experiments.
• Perform statistical analysis and fine-tuning using test results.
• Train and retrain systems when necessary.
• Extend existing ML libraries and frameworks, if necessary.
• Keep abreast of latest developments in the field.

Requirements

• Proven experience as a Machine Learning Engineer or similar role.
• Deep knowledge of the latest trends in Generative AI -- LLMs, libraries (e.g. LangChain), tools and techniques.
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms.
• Ability to write robust code in Python and/or Java.
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
• Excellent communication skills.
• Ability to collaborate with the non-AI-experts and come up with innovative domain-specific applications.
• Outstanding analytical and problem-solving skills.
• BS in Computer Science, Mathematics or similar field; Master’s degree is a plus.

Benefits

• This position is a regular, full-time opportunity with Forward Networks in Santa Clara, CA.
• The base pay range for this role is between $175,000 and $195,000. Base pay will depend on your skills, qualifications, experience, and location.