Staff Machine Learning Engineer

ServiceNow • San Diego, CA

81d • $155,800 - $272,700

About The Position

This Role is based in our Santa Clara office and requires two days in the office. PLATO (Platform Engineering and AI Technology Organization) at ServiceNow is a customer-focused innovative group building intelligent software using a variety of technology stacks to enable end-to-end, industry-leading work experiences for our customers. We are a group of people deeply invested in the success of our customers that happen to have expertise and knowledge in advanced technologies and software engineering best practices. We are data driven, structured, committed and we enjoy what we are doing. We prioritize robustness, performance and user experience over the technology stack and tools.

Requirements

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.
• Experience in optimizing models for low latency inference.
• Knowledge of maximizing inference throughput.
• Understanding the constraints of real-time systems on model inference.
• Practical experience in reducing model size and computational cost.
• Proficient in prompt engineering and developing LLM based features.
• Experience in using AI productivity tools such as Cursor, Windsurf, etc.
• Minimum 5 years of experience working in Software Development role.
• Proficiency in Python and Golang, with a strong grasp of software engineering principles.
• Hands-on experience with prompt engineering: ability to craft, test, and optimize prompts for task accuracy and efficiency.
• Demonstrated ability to thrive in fast-paced, dynamic environments.
• Knowledge of unit testing, profiling, and code tuning.

Responsibilities

• Play a major part in building AI and Machine Learning (ML) platform that transform the user experience and workflow efficiency of enterprise services.
• Build and optimize a high-performance inferencing platform for AI solutions.
• Utilize expertise in Python and Golang to develop high-performance components of the AI Platform.
• Collaborate with cross-functional teams to integrate AI capabilities seamlessly into workflows and user experiences.
• Ensure reliability and performance of AI models by applying best practices in software engineering and AI inferencing.
• Stay ahead of the curve by quickly learning emerging technologies and applying them to enhance the AI Platform.

Benefits

• Base pay of $155,800 - $272,700, plus equity (when applicable), variable/incentive compensation and benefits.
• Health plans, including flexible spending accounts.
• 401(k) Plan with company match.
• Employee Stock Purchase Plan (ESPP).
• Matching donations.
• Flexible time away plan.
• Family leave programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services