Machine Learning Engineer designing GPU computing kernels to optimize 3D GenAI models at Meshy. Collaborating with researchers to enhance performance and efficiency in GPU module development.
About the role
- Senior ML Engineer developing scalable machine learning systems for FOX advertising platform. Collaborating on ML solutions that optimize ad personalization and monetization.
Responsibilities
- Develop, deploy, and maintain scalable machine learning systems that directly impact monetization across FOX’s streaming and broadcast properties.
- Design and maintain machine learning pipelines for real-time ad decisioning.
- Work with cross-functional teams to translate business goals into model solutions.
- Implement experimentation systems (A/B testing, multi-armed bandits) to continuously optimize outcomes.
- Collaborate on data integration with partners such as LiveRamp and TransUnion.
- Contribute to the team’s MLOps infrastructure, from model training to deployment and monitoring.
- Participate in code reviews, system design discussions, and sprint planning.
- Conduct performance tuning and latency optimization for production ML systems.
Requirements
- 5+ years of hands-on machine learning or data engineering experience.
- Proficiency with Python and ML frameworks such as TensorFlow or PyTorch.
- Experience with real-time inference systems and streaming data architectures.
- Familiarity with AWS, Spark, Kubernetes, and cloud-native development practices.
- Background in deploying ML systems in production environments with measurable impact.
- Solid understanding of ML experimentation, evaluation metrics, and optimization techniques.
Benefits
- Flexible Time off Policy to manage all personal matters.
- Twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child.
- Monthly wellness reimbursement.
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