Senior Machine Learning Engineer
Skills
Amazon Web ServicesDeep LearningInformation RetrievalMachine LearningNatural Language ProcessingPerformance ImprovementPytorch
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 8+ years of production ML systems experience
- Strong experience optimizing ML inference performance in production
- Hands-on experience with PyTorch TensorFlow ONNX or TorchScript
- Experience with transformer-based NLP models
- Experience building or supporting semantic or vector search systems
- Experience deploying ML systems in AWS cloud environments
- Strong understanding of distributed processing and scalable ML pipelines
- Experience with multimodal workloads involving text image or video processing
- Familiarity with embedding generation and retrieval systems
Nice to have
- builder-oriented
- highly technical
- startup energy
- hands-on
- collaborative
- production-focused
Day to day
- Design and optimize large-scale ML inference systems for text image and video workloads
- Scale semantic search and embedding pipelines across millions of media assets
- Improve latency throughput and cost efficiency for production ML systems and multimodal AI pipelines
- Partner with Data Science and Platform teams to productionize scalable ML workflows