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Senior Staff Performance Engineer / Machine Learning (Performance TaskForce) - ATG

| South Bay +80 more | Remote | Hybrid
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Company Description

ServiceNow is making the world of work, work better for people. Our cloud‑based platform and solutions deliver digital workflows that create great experiences and unlock productivity for employees and the enterprise. We're growing fast, innovating faster, and making an impact on our customers' and employees' lives in significant and important ways. With over 6,900 customers, we serve approximately 80% of the Fortune 500, and we're on the 2020 list of FORTUNE World's Most Admired Companies.®

We’re looking for people who are ready to jump right in and help us build on our incredible momentum, our diverse, engaged workforce, and our purpose to make the world of work, work better.

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

Job Description

What you get to do in this role:

The Advanced Technology Group (ATG) at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest advanced technologies to enable end-to-end, industry-leading work experiences for customers. We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered 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 AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. 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 5k+ enterprise customers around the world.

As part of the Performance Task Force, you will apply deep skills in performance measurement and optimization and insight into the behavior of Machine Learning models to ensure that our 24x7 operations are top notch. Individual teams building models do extensive testing, but the Performance Task Force will bring specialized skills, tools, and insight to areas of greatest impact and ensure that a holistic end-to-end view of how users experience our products is taken into account.

  • Build the best cloud-based AI/ML solutions to power intelligent enterprise services
  • Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software
  • Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users

Qualifications

To be successful in this role you have:

  • 12+ years of related experience with a Bachelor's degree; or 8 years and a Master's degree; or a PhD with 5 years' experience; or equivalent work experience
  • A minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years’ experience; or equivalent work experience.
  • Experience running performance tools for Java like Jmeter, Java Mission Controller, Blazemeter
  • Experience with performance tools for Python like TensorBoard Profiler (likely associated with ML work)
  • Experience with building large, highly available distributed systems on Linux, Docker and Kubernetes
  • Experience working on systems level or database code, alternative hardware architectures
  • Expertise in Java or Python, OOP, Design Patterns, time and space-efficient algorithms
  • Experience building new products that leverage challenging high-performance algorithms
  • Expertise in coding efficient, object-oriented, modularized and quality software
  • Knowledge of core AI/ML techniques and algorithms
  • Knowledge of unit testing, profiling, and code tuning
  • Expertise in Java or Python, OOP, Design Patterns, time and space-efficient algorithms
  • Experience building new products that use challenging algorithms
  • Expertise in coding efficient, object-oriented, modularized and quality software
  • Knowledge of core AI/ML techniques and algorithms
  • Knowledge of unit testing, profiling, and code tuning

FD21

#LI-CT2

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.

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 [email protected] 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.

Please Note: Fraudulent job postings/job scams are increasingly common. Click here to learn what to watch out for and how to protect yourself. All genuine ServiceNow job postings can be found through the ServiceNow Careers site.

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Candidate Location Eligibility:
Albuquerque, NM
Ann Arbor, MI
Atlanta, GA
Austin, TX
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Boston, MA
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Other US Location
Palm Bay-Melbourne-Titusville
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Technology we use

  • Engineering
    • JavaLanguages
    • JavascriptLanguages
    • ReactLibraries
    • Node.jsFrameworks
    • MariaDBDatabases
    • MongoDBDatabases
    • MySQLDatabases
    • PostgreSQLDatabases

An Insider's view of ServiceNow

How would you describe the company’s work-life balance?

I’m so proud of the way ServiceNow has continued to evolve as an employer who takes care of their people. We have generous parental leave; benefits to support our physical, emotional, and financial wellbeing; an incredibly supportive community; and a culture of trust that manifests in how we work.

Jaime

Vice President and Global Head, Talent Brand

What does your typical day look like?

If I could clarify one thing about being an engineer, we're a lot more collaborative than people think. Engineers can be seen as always sitting by themselves in front of a computer in a dark room and code just streaming down it. However, we work closely with project managers and designers to create the best product for customers.

Viviana

Senior Machine Learning Engineer

How does the company support your career growth?

My experience with Launchpad was humbling and eye-opening. I connected with many other early career individuals and discussed imposter syndrome. Being able to voice that and not feel alone in that feeling, I was like, "Wow. I don't have to know everything." There's still room for me to grow, and there's grace there.

Alexander

Diversity and Inclusion Analyst

What is your vision for the company?

We want to create a place where people want to come to work every day and do what they enjoy–where they feel challenged, collaborate with colleagues around the globe, and know what they're doing matters. It is really humbling to work with so many hardworking individuals who also want to see each other succeed and who are building something great.

Pat

Chief Technology Officer

What’s the vibe like in the office?

ServiceNow has always been a place where we work really hard, but we play hard. We like each other, and I can honestly say that in 11 and a half years, I have never once had a single colleague say to me, “That's not my job.” Everyone jumps in and is supportive. I've never had that experience working for another company.

Suzanne

Principal Training and Adoption Lead

What are ServiceNow Perks + Benefits

ServiceNow Benefits Overview

We make work better for people—including our own. From work environments that help us do our best work, to benefits and a culture that encourage employees to stay healthy, happy, engaged, and growing, we keep our people at the center of everything we do.

Culture
Volunteer in local community
Partners with nonprofits
Open door policy
Open office floor plan
Employee resource groups
Employee awards
Flexible work schedule
Remote work program
Diversity
Documented equal pay policy
Dedicated diversity and inclusion staff
Mandated unconscious bias training
Diversity manifesto
Mean gender pay gap below 10%
Diversity employee resource groups
Hiring practices that promote diversity
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability insurance
Dental insurance
Vision insurance
Health insurance
Life insurance
Wellness programs
Financial & Retirement
401(K)
401(K) matching
Company equity
Employee stock purchase plan
Performance bonus
Charitable contribution matching
Child Care & Parental Leave Benefits
Childcare benefits
Generous parental leave
Family medical leave
Adoption Assistance
Vacation & Time Off Benefits
Unlimited vacation policy
Generous PTO
Paid volunteer time
Paid holidays
Paid sick days
Office Perks
Commuter benefits
Company-sponsored outings
Free snacks and drinks
Company-sponsored happy hours
Onsite office parking
Onsite gym
Professional Development Benefits
Tuition reimbursement
Lunch and learns
Promote from within
Mentorship program
Online course subscriptions available

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