Software Engineer, Machine Learning

Scopely; California; Remote; USD 165,000 - 181,000; Full time

Benefits offered by this job

equity

bonuses

healthcare benefits

retirement benefits

pet insurance

paid holidays

paid Scopely free days

unlimited paid time off

Job summary

Scopely is seeking a Software Engineer, Machine Learning to help build and scale ML infrastructure for deploying AI models in Explore. You will work closely with ML scientists to integrate models into products and optimize inference latency to enhance user experiences.

You will develop automation for model evaluation and deployment, implement robust monitoring, and participate in code reviews, design discussions, and architecture planning with cross-functional teams.

Qualifications

• Master’s degree in CS or related field plus 1 year of relevant experience.
• Academic training in Python, ML, Generative AI, SQL, system programming and cloud computing.
• Experience as Software Developer, Software Engineer Intern, Applied Research Intern or Teaching Assistant.

Responsibilities

• Implement and maintain scalable ML infrastructure for deployment of AI/ML models.
• Collaborate with ML scientists to integrate models into products.
• Develop automation tools to streamline evaluation and deployment workflows.
• Optimize infrastructure performance to reduce latency in model inference.
• Implement monitoring and alerting for reliability of ML infrastructure components.
• Troubleshoot issues and participate in design reviews, architecture planning and cross-functional meetings.

Skills

Python

Machine Learning

Generative AI

SQL

System programming

Cloud computing

Education

Master’s degree in Computer Science or related field

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

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.

Benefits

• equity
• bonuses
• healthcare benefits
• retirement benefits
• pet insurance
• paid holidays
• paid Scopely free days
• unlimited paid time off

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/. 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.