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About the Role
Implement and maintain scalable infrastructure solutions for AI/ML model deployment, working closely with ML scientists to integrate models into products. Develop automation tools for model evaluation and deployment, optimize infrastructure performance, and implement monitoring systems. Collaborate with cross-functional teams to understand requirements and design engineering solutions, participating in code reviews and architecture planning.
Responsibilities
- Implement and maintain scalable infrastructure solutions for AI/ML model deployment.
- Integrate AI and ML models into products.
- Develop automation tools and processes for model evaluation and deployment.
- Optimize infrastructure performance for efficient resource utilization and minimal inference latency.
- Implement and maintain monitoring and alerting systems for ML infrastructure reliability.
- Troubleshoot and resolve issues related to ML infrastructure.
- Participate in meetings with cross-functional teams to understand requirements and design solutions.
- Participate in code reviews, design discussions, and architecture planning sessions.
Requirements
- Master’s degree or foreign equivalent in Computer Science, Computer Engineering, or related quantitative field.
- 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.
- Academic training and/or experience in Python.
- Academic training and/or experience in Machine Learning.
- Academic training and/or experience in Generative AI.
- Academic training and/or experience in SQL.
- Academic training and/or experience in System programming.
- Academic training and/or experience in Cloud computing.
Skills
- Python
- Machine Learning
- Generative AI
- SQL
- System programming
- Cloud computing
Location
- San Francisco, CA
- Telecommuting within the US permitted
Work Type
- Full-time
Experience Level
- 1 year of experience
Education Level
- Master’s degree
Salary/Compensations
- $165,131 to $180,946 per year
Benefits
- Equity
- Bonuses
- Comprehensive benefits package
- Healthcare benefits
- Retirement benefits
- Pet insurance
- Paid holidays
- Paid Scopely free days
- Unlimited paid time off
About the Company
- Scopely is a leading video game and global interactive entertainment company.
- Home to experiences like MONOPOLY GO!, Pokémon GO, Stumble Guys, Star Trek Fleet Command, MARVEL Strike Force, WWE Champions, Scrabble franchise, and Yahtzee With Buddies.
- Creates, develops, publishes, and live-operates a diversified portfolio in the games industry.
- Founded in 2011, powered by its team, tenet-driven culture, and proprietary technology platform, Playgami.
- Recognized as the #1 mobile games company in the U.S. and #2 globally, generating over $10 billion in lifetime revenue.
- Recognized by TIME magazine as one of the "100 Most Influential Companies in the World" and by Fast Company as one of its "World's Most Innovative Companies" and “Best Workplaces for Innovators.”
- Believes video games can be a force for good, creating meaningful connections, vibrant communities, and making life better through play.
- Has global operations and partners across four continents in more than a dozen countries worldwide.
Equal Opportunity
- 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.