Staff Machine Learning Engineer

$149,200 - $261,200/Yr

ServiceNow - San Diego, CA

Full-time - Mid Level

San Diego, CA

5,001-10,000 employees

Professional, Scientific, and Technical Services

About the position

As a Staff Machine Learning Engineer at ServiceNow, you will play a crucial role in developing AI/ML solutions that enhance the employee experience and streamline processes within the organization. This position requires collaboration with cross-functional teams to design and implement innovative cloud-based AI/ML solutions, while also mentoring other staff on best practices in AI/ML. You will be part of a dynamic and agile team, working in a fast-paced environment focused on cutting-edge technology.

Responsibilities

• Build world-class cloud-based AI/ML solutions to power intelligent services.
• Collaborate closely with a team of developers and product managers to deliver high-quality software.
• Partner with product owners to understand requirements and take ownership of your code from design to implementation, testing, and delivery.
• Mentor and coach staff on AI/ML best practices, fostering a culture of continuous learning and development.
• Collaborate with the product organization to stay informed about upcoming AI products and drive alignment between AI solutions and business goals.
• Work with cross-functional teams to develop innovative AI-driven solutions, integrating automated feature engineering and AutoML into core business processes.
• Lead and inspire innovation sprints and hackathons to cultivate creative AI-driven ideas and drive product improvements.

Requirements

• Expertise in JavaScript, Python, object-oriented programming (OOP), design patterns, and efficient algorithms.
• Proficiency in core AI/ML techniques and algorithms.
• Experience with the ServiceNow Platform and Now Assist Skill Kit.
• Familiarity with unit testing, profiling, and code optimization.
• Knowledge of vector databases, large language models (LLMs), fine-tuning, and platforms such as AWS SageMaker, Azure ML, Hugging Face, and LangChain/Langflow/Flowise.

Nice-to-haves

• Experience in mentoring and coaching team members.
• Familiarity with agile development methodologies.
• Experience in leading innovation sprints or hackathons.

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.