ML Engineering Lead at Saris AI tackling multi - modal AI systems in banking. Drive technical direction and build high - performing teams in an early - stage startup environment.
About the role
- Senior Machine Learning Engineer at Troveo designing and optimizing machine learning pipelines for AI video models. Collaborating with cross-functional teams to build scalable video data solutions.
Responsibilities
- Architect and implement large-scale pipelines for video ingestion, metadata extraction, and indexing
- Develop and fine-tune multimodal models for video embeddings, scene segmentation, and relevance ranking using PyTorch
- Scale ML infrastructure on AWS, leveraging multi-GPU clusters and distributed training
- Collaborate with Product and Operations teams to translate ML performance into business insights and cost implications
Requirements
- 6+ years in ML engineering, with a focus on information retrieval, embedding systems, or data annotation pipelines.
- Proven track record building scalable indexing and search infrastructure, including vector stores and similarity search algorithms.
- Expertise in Python and PyTorch for core model development.
- Hands-on experience with Hugging Face Transformers for multimodal embeddings and fine-tuning.
- Working experience with video, computer vision, and multi-modal LLMs.
- Strong analytical skills for dissecting performance in large distributed systems; familiarity with multi-GPU training and vector databases preferred.
Benefits
- Competitive compensation with meaningful equity upside
- Work at the cutting edge of AI, video, and large-scale data infrastructure
- High autonomy, high impact, your work will shape the foundation of our platform
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