Staff Machine Learning Engineer, ML Understanding

1 Month ago • 7 Years + • $230,000 PA - $322,000 PA

Job Summary

Job Description

As a Staff Machine Learning Engineer, you will be pivotal in developing, training, and optimizing state-of-the-art language models for various applications like conversational AI and content generation. You will collaborate with Engineering, Product, UX Research, and Product Design teams. Responsibilities include designing, developing, and optimizing large language models, collaborating with cross-functional teams, conducting model evaluations, staying updated with the latest research, and contributing to best practices for responsible LLM development and deployment. The role requires a deep understanding of LLM training and optimization.
Must have:
  • 7+ years of MLE experience in NLP, deep learning, and AI model development.
  • Strong background in Python programming and deep learning frameworks.
  • Expertise in distributed training frameworks and hardware resource utilization.
  • Proficiency in data preprocessing, tokenization, and language modeling.
Perks:
  • Comprehensive Healthcare Benefits
  • 401k Matching
  • Workspace benefits for your home office
  • Personal & Professional development funds
  • Family Planning Support
  • Flexible Vacation & Reddit Global Wellness Days
  • 4+ months paid Parental Leave
  • Paid Volunteer time off

Job Details

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.

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 Staff 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.
  • 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:

  • 7+ 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

#LI-DB1 #LI-Remote

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