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Description:
Forward Networks is revolutionizing network management with its Forward Enterprise platform, which delivers a vendor-agnostic "digital twin" of the network based on a mathematical model.
The platform supports hundreds of thousands of network devices across cloud, hybrid cloud, or on-prem environments and serves as a single source of truth for network operators.
The company has received significant industry recognition, including being named a “Cool Vendor in Enterprise Networking” by Gartner and “Product of the Year” by Cloud Computing.
Forward Networks is seeking an applied Machine Learning Engineer to assist in creating artificial intelligence products and to guide and implement the company's AI strategy.
Responsibilities include designing machine learning systems, researching and implementing ML algorithms, selecting datasets, running tests, performing statistical analysis, training systems, and staying updated on field developments.
Requirements:
Candidates must have proven experience as a Machine Learning Engineer or in a similar role.
A deep knowledge of the latest trends in Generative AI, including LLMs, libraries (e.g., LangChain), tools, and techniques is required.
Understanding of data structures, data modeling, and software architecture is essential.
Candidates should possess a strong foundation in math, probability, statistics, and algorithms.
Proficiency in writing robust code in Python and/or Java is necessary.
Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) is expected.
Excellent communication skills and the ability to collaborate with non-AI experts to develop innovative domain-specific applications are required.
Outstanding analytical and problem-solving skills are essential.
A BS in Computer Science, Mathematics, or a similar field is required; a 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, depending on skills, qualifications, experience, and location.