Pay
In line with similar jobs
$165K–$181K against $166K–$240K, the middle half of what similar US postings state.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Software Engineer, Machine Learning
US - San Francisco, California, United States
Live, first seen by us 15 days ago- Pay
USD 165,131–180,946/year — pay source
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
CA, CO, NJ, NY, and WA Annual Salary Range $165,131—$180,946 USD About Scopely
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingBuild and maintain infrastructure for deploying AI and ML models
Work with ML scientists to integrate models into products
Develop automation for model evaluation and deployment workflows
Optimize infrastructure performance and reduce model inference latency
Maintain monitoring and alerting for ML infrastructure reliability
From the employer’s posting
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.
Education & alternatives
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.
About Scopely
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.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 19, 202615 days ago
- Recorded sightings
- 26
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 15
Similar jobs usually come down between day 6 and day 69.
From 4,296 similar postings that came down. Coming down is not always a hire.
Scopely is hiring
9 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
Where the posting names them
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
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
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Already applied? Track this application
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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
More source context
CA, CO, NJ, NY, and WA Annual Salary Range $165,131—$180,946 USD About Scopely
- Location & working pattern
US - San Francisco, California, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.