Remote Staff Machine Learning Engineer

Description:

• The CoreLLM team at ServiceNow is responsible for leading research and engineering to build ServiceNow's signature models (NOWLLM).
• The role involves all phases of Large Language Models (LLMs) development, including data curation, training, and evaluation.
• The goal is to enhance and improve NOWLLM models by incorporating innovative features and optimizing efficiency.
• These models are utilized across various Business Units (BUs) within ServiceNow to address complex problems and deliver tailored solutions.
• The position involves building next-generation LLMs for Enterprise Language Generation to enhance AI experiences for customers.
• Responsibilities include applying AI/ML expertise to solve real-world challenges, researching and implementing models for LLM benchmarking, participating in data collection, and collaborating with a diverse team to produce quality software.
• The role also includes developing tools for LLM evaluation, generating innovative ideas for product competitiveness, and potentially writing research papers for publication.

Requirements:

• Proficiency in prompt engineering and developing LLM-based features is required.
• Experience with training and fine-tuning LLMs using methods such as distillation, supervised fine-tuning, and policy optimization is necessary.
• Familiarity with AI productivity tools like Cursor and Windsurf is a plus.
• Candidates should have experience in integrating AI into work processes and decision-making.
• A minimum of 6 years of relevant experience with a Bachelor's degree, 4 years with a Master's degree, or a PhD with no experience is required.
• Solid expertise in Python and strong theoretical knowledge and hands-on experience in Machine Learning/Deep Learning are essential.
• Experience with LLM benchmarking and evaluation is required, while experience in generating synthetic data is a plus.
• Candidates must be able to read and experiment with recent research papers.
• High creativity, quick problem-solving abilities, and adaptability are important.
• Effective communication skills to convey research findings to both technical and non-technical stakeholders are necessary.

Benefits:

• The position offers a base pay range of $173,100 - $303,000, plus equity (when applicable) and variable/incentive compensation.
• Health plans, including flexible spending accounts, are provided.
• A 401(k) Plan with company match is available.
• Employees can participate in an Employee Stock Purchase Plan (ESPP) and matching donations.
• A flexible time away plan and family leave programs are included.
• Compensation is based on geographic location and is subject to change based on work location.