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Staff Machine Learning Engineer

AT ServiceNow
ServiceNow

Staff Machine Learning Engineer

Santa Clara, CA / Remote

Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

What you get to do in this role:

  • Develop high-quality, clean, scalable, and reusable code by adhering to best practices in software engineering architecture and processes, including code reviews and unit testing.
  • Collaborate closely with product owners to gather detailed requirements specifically for Generative AI products. You will take full ownership of your code throughout the entire lifecycle-from design and implementation to test automation and the delivery of high-quality, innovative solutions that leverage generative AI technologies for our users.
  • Create user-friendly software that enables customers to extend and customize functionality according to their specific needs. Work alongside cross-functional teams to integrate machine learning solutions effectively.
  • Play a vital role in the design and implementation of new products and features, while also enhancing the existing product suite with innovative machine learning capabilities.
  • Serve as a mentor to colleagues, fostering an environment of knowledge-sharing and continuous learning.

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Qualifications

To be successful in this role you have:

  • Over 8 years of experience with strong proficiency in React.js, Java, Python, or a similar object-oriented programming language.
  • A solid understanding of data structures, algorithms, object-oriented design principles, design patterns, and considerations for performance and scalability.
  • Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Jupyter Notebooks).
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.

FD21

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 $158,500 - $277,500, 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 globaltalentss@servicenow.com 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.

Client-provided location(s): Santa Clara, CA, USA
Job ID: ServiceNow-744000031619346
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • FSA With Employer Contribution
    • HSA
    • On-Site Gym
    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
  • Parental Benefits

    • Non-Birth Parent or Paternity Leave
    • Birth Parent or Maternity Leave
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
  • Office Life and Perks

    • Company Outings
    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
  • Vacation and Time Off

    • Personal/Sick Days
    • Paid Holidays
    • Unlimited Paid Time Off
  • Financial and Retirement

    • Relocation Assistance
    • Performance Bonus
    • Stock Purchase Program
    • 401(K) With Company Matching
  • Professional Development

    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Tuition Reimbursement
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program