Senior Applied ML Engineer, Wallet & Payments

• PhD/MS in Computer Science, Machine Learning, Information Technology, Computational Linguistics, NLP, Computer Vision, Statistics, Applied Math or a related field, or equivalent work experience.
• Expertise and experience in various facets of machine learning and natural language processing, such as feature engineering, classification, information extraction, clustering, semi-supervised learning, topic modeling and ranking.
• Experience with computer vision or vision-language models.
• Proven record in delivering end-user facing ML driven products.
• Experience with model deployment pipelines and serving GenAI models in production.
• Strong programming experience in one or more of the following: Python, Scala, Swift
• Expertise in at least one deep learning framework, eg: PyTorch, TensorFlow, or Jax
• Attention to detail, data accuracy and quality of output.
• Strong problem-solving skills and the ability to tackle novel challenges, combined with strong communication and interpersonal capabilities.
• Highly self-motivated and results-driven, able to operate independently and lead without authority.

• Hands-on experience working with transformer-based architectures, e.g., GPT, BERT.
• Hands-on experience with RAG, LLM fine-tuning.
• Familiarity with GenAI frameworks and tools, e.g., LangChain.
• Prior team lead experience is desired.
• Familiar with model compression algorithms including quantization, pruning, distillations, and experience on optimizing large language models.
• Familiarity with reinforcement learning and advanced optimization techniques.
• Strong understanding of state-of-the-art LLMs and deployment for real-world applications.

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