Our client is a global technology company at the forefront of responsible marketing in closed digital ecosystems. Leveraging proprietary AI, they enable enterprise brands to safely and efficiently manage content adjacency across top video and social media platforms. With a culture rooted in innovation, transparency, and scale, they are hiring a Senior Machine Learning Engineer, Operations to help scale their infrastructure supporting high-volume AI systems.
Requirements
- 4+ years of professional experience in machine learning engineering, MLOps, or data infrastructure
- Expertise in Python and SQL (especially Snowflake)
- Strong background in distributed systems and ML model deployment at scale
- Experience supporting large language models or retrieval-augmented generation systems
- Proficiency with software development best practices, including code reviews and CI/CD workflows
- Knowledge of data structures, algorithms, and scalable architecture design
- Familiarity with infrastructure tools such as Docker, Kubernetes, Terraform, or ArgoCD
- Experience with MLOps platforms and tools such as Weights & Biases, Triton Inference Server, Hugging Face, TensorRT, or ONNX
- Exposure to large-scale cloud environments (AWS/GCP) and vector databases (e.g., Qdrant, OpenSearch)
Responsibilities
- Design and build large-scale infrastructure to ingest, process, and store multi-terabyte datasets from social and video platforms
- Implement MLOps pipelines that support scalable deployment of ML systems processing hundreds of millions of videos daily
- Integrate and support cutting-edge models including LLMs and multi-modal AI systems
- Optimize performance across distributed systems and ensure production-grade reliability
- Collaborate with research and engineering teams to enable seamless deployment from model development to inference
- Maintain rigorous standards in code testing, version control, and documentation
- Stay up to date with emerging technologies in data engineering and machine learning infrastructure
Other
- Bachelor’s or Master’s degree in Computer Science or a related field
- Excellent communication and collaboration skills
- Curiosity and openness to new technologies and approaches
- Applicants must be authorized to work in the United States on a full-time basis now and in the future.
- This position does not offer sponsorship.
