Senior Machine Learning Engineer, ML Understanding Modeling

View full description

Requirements:

• 5+ years of relevant MLE experience in natural language processing, deep learning, and AI model development.
• Strong background in Python programming and deep learning frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
• Expertise in distributed training frameworks (e.g., Ray Training, PyTorch Distributed) and efficient utilization of hardware resources.
• Proficiency in data preprocessing, tokenization, embeddings, and language modeling techniques.
• Passion for developing scalable, well-designed, and responsible AI solutions that positively impact society.
• Excellent communication and collaboration skills, with the ability to discuss complex technical topics with diverse teams.
• Entrepreneurial spirit, self-motivation, and a bias towards action in fast-paced environments.

Responsibilities:

• Design, develop, and optimize large language models for various natural language processing tasks.
• Implement and maintain training pipelines, leveraging distributed training and optimizing for performance and efficiency.
• Collaborate with cross-functional teams to gather requirements, define model architectures, and iterate on model development.
• Conduct model evaluations, performance analysis, and optimization to improve model accuracy and reduce biases.
• Stay up-to-date with the latest research and advancements in the field of natural language processing, multimodal signals, and large language models.
• Contribute to the development of best practices, guidelines, and ethical AI principles for responsible LLM development and deployment.