Remote Senior Staff Machine Learning Engineer

Description:

• The Knowledge Graph, Platform Engineering group at ServiceNow is focused on building AI solutions that provide personalized, relevant, and pre-emptive answers/data to users and AI agents.
• The group is seeking a talented full stack Engineer with deep knowledge in architecting AI solutions.
• The role involves architecting solutions that enhance user experience and workflow efficiency for enterprise services.
• The aim is to create AI/ML solutions that can be used by any user, regardless of their technical knowledge, to operate enterprise services effectively.
• Responsibilities include working with product owners to understand requirements, architecting high-quality solutions, building cloud-based AI/ML solutions, collaborating with a team of developers, product managers, and quality engineers, and guiding the team on technology options based on performance, accuracy, and cost.

Requirements:

• Candidates must have 14+ years of experience in architecting and implementing complex Enterprise applications across various stacks.
• Experience in developing enterprise-scale conversational AI platforms and advanced natural language processing solutions is required.
• Deep competence in prompt engineering, fine-tuning, and optimizing LLM performance, with hands-on expertise in models like GPT, Claude, and open-source alternatives is necessary.
• Proven ability to transform complex LLM concepts into commercial value while effectively communicating with stakeholders at all levels is essential.
• Advanced knowledge of data structures, algorithms, object-oriented design, design patterns, and performance/scale considerations is required.
• Experience in classical Machine Learning and Deep Learning is necessary.
• Candidates should be able to work with Senior Architects, Leaders, and other Business Units to drive technical solutions.
• The ability to manage technical risks across multiple projects and serve as a technical owner is required.
• Quick learning ability in upcoming technologies and business needs is essential.
• Candidates should have the capability to mentor junior engineers within the team.
• Good to have: Experience in designing and implementing NLQ, NLP-based solutions, familiarity with the ServiceNow platform, familiarity with UX technologies, and experience working with Knowledge Graphs.

Benefits:

• ServiceNow offers a flexible work environment with various work personas, including flexible, remote, or required in-office options.
• The company is committed to creating an accessible and inclusive experience for all candidates, providing reasonable accommodations during the application process.
• ServiceNow is an equal opportunity employer, ensuring that all qualified applicants receive consideration for employment without discrimination.
• Employment may be contingent upon obtaining necessary export control approvals for certain positions requiring access to controlled technology.