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ML Infrastructure Engineer
EngineeringRemoteFull-time$180,000 - $220,000
Join our team to build and scale the ML infrastructure that powers Mixpeek's multimodal data processing platform. You'll be responsible for developing robust ML pipelines, optimizing model performance, and implementing MLOps best practices.
Responsibilities
- Design and implement ML pipelines for multimodal data processing
- Develop and optimize feature extraction workflows for various media types
- Implement MLOps practices for model deployment and monitoring
- Build scalable infrastructure for model training and inference
- Collaborate with data scientists to productionize ML models
- Optimize retrieval performance for large-scale feature stores
- Implement monitoring and alerting for ML systems
Requirements
- 5+ years of experience in ML infrastructure or MLOps
- Strong background in Python and ML frameworks (PyTorch, TensorFlow)
- Experience with cloud platforms (AWS, GCP, Azure)
- Knowledge of containerization and orchestration (Docker, Kubernetes)
- Understanding of distributed systems and scalable architectures
- Experience with feature stores and vector databases
- Strong problem-solving and communication skills
Benefits
- Competitive salary and equity
- Remote-first work environment
- Health, dental, and vision insurance
- 401(k) matching
- Unlimited PTO
- Learning and development budget
- Home office setup allowance