Turing is hiring a
Staff Machine Learning Engineer

Summary

Join Turing as a Staff Machine Learning Engineer to lead our research agenda in Artificial General Intelligence (AGI) and advance our core capabilities in large language models (LLMs). As a key technical leader, you will design, develop, and deploy cutting-edge machine learning models that power our AI-driven products. You will drive the AGI research agenda, lead the design, development, and optimization of large-scale machine learning models, with a focus on deep learning and LLMs.

Requirements

• PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field with 2-3 years of hands-on experience in LLM fine-tuning, or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field with a minimum of 5 years of relevant experience
• Proven expertise in large language models, including fine-tuning and application for various use cases with a track record of deploying models in production
• Direct experience with synthetic data generation for fine-tuning purposes is highly desirable
• Experience in leading technical projects and mentoring junior team members is a big plus
• Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or similar
• In-depth knowledge of neural network architectures, transformers, and Computer Vision and/or NLP techniques
• Strong analytical and problem-solving skills with a track record of innovative research and practical application
• Experience with distributed computing and GPU acceleration for training large models
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes)

Responsibilities

• Drive the AGI research agenda
• Lead the design, development, and optimization of large-scale machine learning models
• Apply your strong foundation in LLMs to fine-tune pre-trained LLMs for various applications and domains
• Stay up to date with the latest advancements in machine learning, deep learning, and AI, and apply them to improve existing systems
• Work closely with cross-functional teams including data scientists, engineers, and research scientists to integrate and optimize solutions
• Collaborate with clients to understand their needs and tailor our models and data generation techniques accordingly

Benefits

• Amazing work culture
• Awesome colleagues
• Competitive compensation
• Flexible working hours
• Full-time remote opportunity