About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Entertainment Providers.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

Confidential Client is seeking a Software Engineer, Machine Learning to design, build, and operate scalable infrastructure for deploying AI/ML models into production systems. This role partners closely with ML scientists and product teams to move models from research to reliable, low-latency service at scale.

• Implement and maintain scalable ML deployment infrastructure and CI/CD for models
• Build automation and tooling to streamline model evaluation, testing, and rollout
• Optimize inference performance and resource utilization for cloud and edge deployments
• Implement monitoring, logging, and alerting for model health, data drift, and performance
• Troubleshoot production issues and lead root-cause analysis across services
• Participate in architecture and design reviews, code reviews, and cross-functional planning
• Collaborate with ML researchers to translate prototypes into robust production systems

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Compensation

• Salary range (annual): $165,131 — $180,946 USD

This range is provided in accordance with applicable pay transparency laws. Final base pay offered will depend on job-related knowledge, skills, and experience. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package.

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Qualifications (Minimum)

• Master’s degree (or foreign equivalent) in Computer Science, Computer Engineering, or a related quantitative field
• Minimum of 1 year of relevant experience (software developer, software engineer intern, applied research intern, teaching assistant, or related role)
• Hands-on experience with:
  • Python
  • Machine Learning and Generative AI concepts
  • SQL
  • System programming and performance optimization
  • Cloud computing (designing/deploying services on public cloud)
• Strong debugging and troubleshooting skills and familiarity with monitoring/observability tooling

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Preferred / Nice-to-Have

• Experience deploying ML models in production (model serving frameworks, containerization, orchestration)
• Familiarity with model evaluation pipelines, A/B testing for models, and feature stores
• Knowledge of inference optimization (quantization, batching, accelerated inference)
• Experience with CI/CD for ML (MLOps) and automation frameworks

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Location & Work Authorization

• Primary location: California (remote/telecommute within the U.S. is permitted per company policy)
• Applicants must be legally authorized to work in the United States.

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Why You’ll Like Working with Confidential Client

• Opportunity to build systems that power high-impact ML products in the entertainment/games space
• Competitive pay and potential equity/bonus programs
• Comprehensive benefits including healthcare, retirement plans, and paid time off
• Flexible work arrangements and supportive cross-disciplinary teams

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Confidential Client — Other Details

• Employment type: Full-time
• Note: Confidential Client will not ask for payment during the hiring process. All official recruiting communications will come from company email addresses associated with the employer. Careertakes may surface additional matched opportunities to applicants.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.