[Remote] Senior Machine Learning Engineer
Note: The job is a remote job and is open to candidates in USA. SilverSearch, Inc. is a globally recognized media and information organization, and they are seeking a Senior Machine Learning Engineer to build and optimize large-scale ML inference systems. This role focuses on production-scale inference optimization and ML infrastructure, requiring hands-on experience in a highly technical environment.
Responsibilities
- Design, build, and optimize large-scale ML inference systems for text, image, and video workloads
- Scale semantic/vector search and embedding pipelines across millions of media assets
- Optimize inference latency, throughput, and cost efficiency for production ML systems
- Work with transformer-based NLP and computer vision models in production environments
- Improve and operationalize multimodal AI pipelines using existing/open-source models
- Build scalable data processing systems across CPU/GPU cloud infrastructure
- Partner closely with Data Science and Platform teams to productionize ML workflows
- Contribute to hybrid search and retrieval systems using vector search and reranking approaches
- Monitor and improve performance, reliability, and efficiency across distributed ML workloads
Skills
- 8+ years of experience building production ML systems
- Strong experience optimizing ML inference performance in production
- Hands-on experience with: PyTorch
- Hands-on experience with: TensorFlow
- Hands-on experience with: ONNX / TorchScript
- Hands-on experience with: Transformer-based NLP models
- Experience building or supporting semantic/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
- Video processing experience (highly preferred)
- Experience with large-scale inference optimization
- Familiarity with reranking systems and hybrid search architectures
- Experience with HuggingFace models and modern ML tooling
- Experience optimizing GPU-based workloads
- Familiarity with multimodal AI APIs and services
Benefits
- Fully remote
- Preference for East Coast collaboration hours
- 6-month contract-to-hire
Company Overview