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Senior Machine Learning Engineer - ML Understanding Modeling
Job Location
Job Summary
We are seeking an exceptional AI Engineer with a deep understanding of LLM training and optimization to join our team. As an AI Engineer, you will be responsible for developing, training, and optimizing state-of-the-art language models for various applications. You will partner with cross-functional teams to push the boundaries of what's possible with these powerful language models. 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 design, develop, and optimize large language models for various natural language processing tasks, implement and maintain training pipelines, collaborate with cross-functional teams, conduct model evaluations, performance analysis, and optimization to improve model accuracy and reduce biases. We value passion for developing scalable, well-designed, and responsible AI solutions that positively impact society. You will work with a talented team, contribute to groundbreaking projects, and have flexible remote work options, $4,000/year travel stipends, and equity in a fast-growing company. Apply now and help us shape the future of AI!
Reddit has a flexible first workforce! if you happen to live close to our physical office location our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely from Ireland, the Netherlands or the United Kingdom.
We are seeking an exceptional AI Engineer with a deep understanding of LLM training and optimization to join our team of experts. 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.
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.
Entrepreneurial spirit, self-motivation, and a bias towards action in fast-paced environments.
Benefits:
Private Medical, Dental and Vision Benefits
Personal Retirement Savings Account with matching contribution
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Cycle to Work and Tax Saver schemes
Flexible Vacation & Reddit Global Days Off
