Senior Machine Learning Engineer, ML Understanding

Location:
This role is completely remote-friendly. If you happen to live close to one of our physical office locations, our doors are open for you to come into the office as often as you'd like. 

Team Description:
We are seeking a Senior Machine Learning Engineer with a deep understanding of LLM training and optimization to join our ML Understanding Team. In this pivotal role, you will be responsible for developing, training, and optimizing state-of-the-art language models for various applications, from conversational AI to content generation and language understanding tasks. Our mission is to develop cutting-edge AI solutions that can understand, generate, and analyze human-like text with unprecedented accuracy and efficiency.

You will partner with Engineering, Product, UX Research, and Product Design teams to push the boundaries of what's possible with these powerful language models. 

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.

Required Qualifications:

• 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.

Benefits:

• Comprehensive Healthcare Benefits
• 401k Matching
• Workspace benefits for your home office
• Personal & Professional development funds
• Family Planning Support
• Flexible Vacation (please use them!) & Reddit Global Wellness Days
• 4+ months paid Parental Leave
• Paid Volunteer time off

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