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Scopely

Software Engineer, Machine Learning

  • Seen live on Scopely's site today
  • Mid level
Pay
$165k to $181k a year USD
Location
US - San Francisco, California, United States
Open for
12+ days
First seen
Oct 23, 2026
Apply on Scopely's site (opens in a new tab)

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Scopely's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Scopely, so its true age is longer.

Last checked Nov 4, 2026.

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What the posting discloses

Pay
$165k to $181k a year USD
Salary: $165,131 to $180,946 per year (quoted from the posting)

Not stated: Real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Skills mentioned

About the role

Software Engineer, Machine Learning (Scopely Explore Inc Inc, fka Niantic Inc.; San Francisco, CA)

Implement and maintain scalable infrastructure solutions for the deployment of Artificial Intelligence (AI) and

Machine Learning (ML) models. Work closely with ML scientists to develop engineering solutions to integrate

AI and ML models into products. Develop automation tools and processes to streamline model evaluation and

deployment workflows. Optimize infrastructure performance to ensure efficient resource utilization and

minimize latency in model inference. Implement and maintain monitoring and alerting systems to ensure the

reliability and availability of ML infrastructure components. Troubleshoot and resolve issues related to ML

infrastructure, working closely with stakeholders to identify root causes and implement solutions. Regularly

participate in meetings with cross-functional teams to understand requirements and design engineering

solutions that meet product requirements. Participate in code reviews, design discussions, and architecture

planning sessions to maintain high-quality standards in software development practices. Telecommuting within

the US permitted pursuant to company policy.

Minimum requirements: Master’s degree or foreign equivalent in Computer Science, Computer Engineering,

or related quantitative field, plus One (1) year of experience in the Job offered, as a Software Developer,

Software Engineer Intern, Applied Research Intern, Teaching Assistant, or a related occupation.

Must possess academic training and/or experience in each of the following: Python; Machine Learning;Generative AI; SQL; System programming; Cloud computing.

Salary: $165,131 to $180,946 per year

APPLY NOW

Job Req ID: 00103420

To Apply: Any interested applicant may click on the APPLY NOW button above to apply for this

position, or email your resume to employment@scopely.com

For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience.

CA, CO, NJ, NY, and WA Annual Salary Range

$165,131 — $180,946 USD

About Scopely

Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.

Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.

Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.

Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ .

Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com .

Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice .

Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

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