Staff Machine Learning Engineer

ServiceNow

4.7

(132)

Santa Clara, CA

Why you should apply for a job to ServiceNow:

  • 4.7/5 in overall job satisfaction
  • 4.7/5 in supportive management
  • 92% say women are treated fairly and equally to men
  • 91% would recommend this company to other women
  • 95% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Flexible PTO policy intended to empower full-time employees to balance their professional and personal lives.
  • ServiceNow offers to 20 weeks of paid parental leave and generous family leave.
  • Access to ServiceNow's Diversity, Inclusion and Belonging Community consisting of nine employee-led Belonging Groups.
  • #JB0054019

    Position summary

    ered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.

    You will play a major part in building next generation Large Language Models(LLM's) for Enterprise Language Generation that will power NOW platform with AI experiences in day to day work of our customers. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 9k+ enterprise customers around the world.

    What you get to do in this role:

    • Confronted with real-world challenges and datasets, you will need to use your AI/ML expertise and creativity to apply existing methods and develop new ones to solve these problems in a practical and scalable way.

    • Research, propose and implement appropriate models/techniques for LLM benchmarking.

    • Participate in data collection and synthetic data generation, and generate custom benchmarks to evaluate diverse LLMs capabilities.

    • Collaborate daily with a team of like-minded developers, applied research scientists, product managers and quality engineers to produce quality software.

    • Contribute to the implementation of tools to facilitate LLMs evaluation and perform model / error analysis.

    • Develop innovative patentable ideas that ensure the competitiveness of this product within the domain of similar work being done in the industry.

    • Potentially write research papers in collaboration with our Research Group, to be published to the most notorious AI Conferences.

    • Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality & high-impact solutions to our users.

    Qualifications

    To be successful in this role you have:

    • 6+ years of relevant experience with a Bachelor's degree; or 4 years with a Master's degree; or a PhD with no experience; or equivalent work experience.

    • Solid expertise in Python.

    • Solid Machine Learning / Deep Learning theoretical knowledge and hands-on experience.

    • Experience with LLM benchmarking and evaluation is required; experience generating synthetic data is a plus.

    • Ability to read and experiment with ideas from recent research papers.

    • High level of creativity, quick problem-solving abilities, and adaptability.

    • Effective communication skills to convey research findings to both technical and non-technical stakeholders, ensuring a clear understanding of the benefits and limitations of LLMs across the organization.

    Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!

    For positions in this location, we offer a base pay of $165,800 - $290,200, 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. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

    Additional Information

    Work Personas

    We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here.

    Equal Opportunity Employer

    ServiceNow is an equal 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. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

    Accommodations

    We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance.

    Export Control Regulations

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

    From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license.

    Why you should apply for a job to ServiceNow:

  • 4.7/5 in overall job satisfaction
  • 4.7/5 in supportive management
  • 92% say women are treated fairly and equally to men
  • 91% would recommend this company to other women
  • 95% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Flexible PTO policy intended to empower full-time employees to balance their professional and personal lives.
  • ServiceNow offers to 20 weeks of paid parental leave and generous family leave.
  • Access to ServiceNow's Diversity, Inclusion and Belonging Community consisting of nine employee-led Belonging Groups.