Urgent! Staff Software Engineer (Backend), Machine Learning Job Opening In San Francisco – Now Hiring Rippling
About Rippling
Rippling gives businesses one place to run HR, IT, and Finance.
It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers.
For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.
Take onboarding, for example.
With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.
Based in San Francisco, CA, Rippling has raised $1.2B from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.
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Please be aware that official communication will only be sent from @ addresses.
We use machine learning and large language models to build software which helps our customers operate their business effectively.
This manifests as either features inside of existing Rippling products or new products.
In this role, you'll play the role of a backend engineer working across the stack (backend services, data pipelines, APIs) and will even have the opportunity to contribute to more ML specific tasks.
Successful individuals on our team tend to operate with autonomy and alacrity, have strong customer empathy, and an ability to drive outcomes across the entire engineering stack from data ingestion through modeling and into production.
Additional Information:
Rippling is an equal opportunity employer.
We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process.
To request a reasonable accommodation, please email accomodations@rippling.com
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture.
For office-based employees (employees who live within a 40 mile radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.
This role will receive a competitive salary + benefits + equity.
The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.
A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location.
Final offer amounts may vary from the amounts listed below.
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Unlock Your Staff Software Potential: Insight & Career Growth Guide
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Great news! Rippling is currently hiring and seeking a Staff Software Engineer (Backend), Machine Learning to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Staff Software Engineer (Backend), Machine Learning Jobs San Francisco.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Rippling adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Staff Software Engineer (Backend), Machine Learning Jobs United States varies, but the pay scale is rated "Standard" in San Francisco. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Staff Software Engineer (Backend), Machine Learning typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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