Remote Machine Learning Engineer - Model Evaluation & Experimentation

Description:

• Join a pioneering AI initiative focused on building evaluation benchmarks for frontier AI models.
• Design sophisticated, multi-step machine learning challenges inspired by real-world research workflows.

Requirements:

• Master's degree, PhD, or equivalent in Machine Learning, Computer Science, AI, Data Science, or a quantitative STEM discipline.
• Minimum 1 year of professional experience in machine learning research or a research-intensive technical role.
• Strong hands-on experience in designing, training, evaluating, and optimizing machine learning models.
• Proficiency in Python and Git, with experience in script-based and notebook-based environments.
• Familiarity with reinforcement learning concepts is preferred.
• Excellent analytical thinking, creativity, attention to detail, and strong written communication skills.

Benefits:

• Help shape the evaluation of next-generation AI systems through rigorous experimentation.
• Collaborate with leading AI researchers on frontier evaluation benchmarks.
• Enjoy the flexibility of a fully remote engagement with a commitment of approximately 35 hours per week.