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Senior Staff Machine Learning Engineer

Company Description

At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can’t wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you. 

With more than 7,700+ customers, we serve approximately 85% of the Fortune 500®, and we're proud to be one of FORTUNE 100 Best Companies to Work For® and World's Most Admired Companies™.

Learn more on Life at Now blog and hear from our employees about their experiences working at ServiceNow.

Unsure if you meet all the qualifications of a job description but are deeply excited about the role? We still encourage you to apply! At ServiceNow, we are committed to creating an inclusive environment where all voices are heard, valued, and respected. We welcome all candidates, including individuals from non-traditional, varied backgrounds, that might not come from a typical path connected to this role. We believe skills and experience are transferrable, and the desire to dream big makes for great candidates.

Job Description

Team

The Foundation Models Lab at ServiceNow Research builds the foundation for ServiceNow’s bespoke generative AI solutions, specifically tailored to meet the unique demands of our enterprise environment. Renowned for co-leading the BigCode project and releasing influential models like StarCoder and StarCoder 2, along with datasets such as the Stack and the Stack v2, our lab is now dedicated to strategic pretraining of foundation models for enterprise applications. Our mission extends beyond mere training; we aim to holistically design large language models considering their entire lifecycle. This includes curating training data to meet specific performance expectations, maximizing training efficiency, and, crucially, optimizing models for fast and cost-effective inference. By doing so, we ensure that our AI models are robust, efficient, and ready for further refinement and integration into ServiceNow’s broader AI ecosystem.

Role

We are seeking a Senior Staff Research Developer with deep expertise in AI research, particularly focused on planning and executing experiments that push the boundaries of AI training and model efficiency. In this role, you will:

  • Lead experimental research projects that optimize our large language models, focusing on reducing inference latency, integrating mixture-of-experts and related techniques, and applying scaling laws to maximize training efficiency.
  • Innovate on data curation and utilization strategies to enhance model training, developing sophisticated filtering and selection techniques that improve data quality and directly boost downstream performance.
  • Publish findings and contribute to the scientific community through impactful papers and presentations, thereby establishing ServiceNow as a leader in AI research.
  • Work autonomously, demonstrating resoluteness and resourcefulness in tackling complex research challenges, and continuously exploring new methodologies to refine our AI models.
  • Help the team deeply understand the contexts and purposes in which the models will be used to ensure their adequacy and maximize their impact.
  • Mentor other team members and facilitate effective collaboration among coworkers & cross-functionally.

Qualifications

To be successful in this role you have:

  • A Ph.D. in computer science, engineering, or a related field, with five years experience in AI research, or a M.Sc. with eight years experience.
  • Demonstrated experience in conducting significant research projects, with a focus on experimental design, data analysis, and hypothesis testing.
  • Profound understanding of the data processes involved in pretraining large language models, with experience in optimizing these processes for large-scale environments.
  • Expertise in deep learning frameworks and computational models, with a solid foundation in the principles underlying model scalability and efficiency.
  • Strong proficiency in Python and major deep learning frameworks like PyTorch or JAX.
  • Strong problem-solving skills and independence in managing complex research activities.
  • Excellent communication skills, capable of articulating complex technical details and collaborating effectively across multidisciplinary teams.

What We Offer

  • A role at the forefront of AI research and development with opportunities to impact enterprise-level solutions.
  • Collaboration with a strong team of experts dedicated to pushing the boundaries of AI technology.
  • A dynamic and supportive work environment that fosters innovation and growth.

FD21

For positions in the Bay Area, we offer a base pay of $192,700 - $337,300, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs (subject to eligibility requirements). Compensation is based on the geographic location in which the role is located, and is subject to change based on work location.

Additional Information

ServiceNow is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law.

At ServiceNow, we lead with flexibility and trust in our distributed world of work. Click here to learn about our work personas: flexible, remote and required-in-office.

If you require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at talent.acquisition@servicenow.com for assistance.

For positions requiring access to technical data subject to export control regulations, including Export Administration Regulations (EAR), ServiceNow may have to obtain export licensing approval from the U.S. Government for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by the U.S. Government.

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