Machine Learning Engineer

3 days ago

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $175k - $195k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Forward Networks, Inc.

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Forward Networks, Inc. is a leading provider of network modeling software, offering vendor-agnostic "digital twin" technology to create accurate, mathematically-modeled representations of complex network infrastructures. Their flagship product, Forward Enterprise, enhances network reliability, security, and management by enabling end-to-end visibility and service assurance across cloud and on-premise environments. Noted for its network vulnerability and attack surface management capabilities, it aids in proactive network security and operations. Forward Networks' innovative solutions are recognized by industry analysts such as Gartner, making them a preferred choice for Fortune 50 companies and federal agencies in streamlining network operations and improving security postures.

51 - 200 employees

Founded 2013

☁️ SaaS

🏢 Enterprise

🔒 Cybersecurity

📋 Description

• 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. • 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. • The company was founded by four Stanford PhD graduates. • Forward Networks is looking for an applied Machine Learning (ML) Engineer to help create artificial intelligence products. • You will be working closely with domain experts and the leadership team to help guide and implement Forward's AI strategy. • Responsibilities include designing machine learning systems, researching ML algorithms, and extending existing ML libraries.

🎯 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.