• At least 5 years of relevant experience, either academic, professional, or purely personal projects. We value diverse experiences that demonstrate your skills and passion for ML engineering
• Demonstrated proficiency in Python and PyTorch, with a strong background in machine learning concepts and hands-on experience in training and deploying large models
• Ability to adapt quickly to new technologies and challenges, with a proven track record of solving hard problems
• Excellent communication skills, with the ability to work effectively in a dynamic team environment and lead projects to successful completion

Desirable

• As an early ML engineer at Ntropy, you will play a pivotal role in shaping our products, culture and direction of the company
• Your work will directly contribute to our mission of making LLMs viable at a scale of 100M+ requests per day
• You will develop and enhance our domain-specific caching infrastructure by creating algorithms for query decomposition, caching, and reassembly and develop approaches to extend this technology to new domains beyond finance

• 1. Send us an overview of problems you have encountered before and how you approached solving them. Please include as much detail as possible: code, algorithms, derivations, proofs, etc. We will then do a video call to kick things off and go through it (45 mins)
• 2. We will give you a take-home project related to whatever we are currently working on (3-4 hours). Alternatively, if you have a relevant project that you worked on previously that demonstrates your skills as an engineer, you are welcome to use that instead
• 3. We will then do a deep-dive through the project over a call and discuss the implementation, improvements and bottlenecks
• Above all, we respect your time and commitment and will keep you up to speed on where we are at during the whole process