Remote Machine Learning Engineer, Intern, ML Observability

Summary

Join ASAPP's ML Observability team as an intern and contribute to building, enhancing, and maintaining observability capabilities for all our ML products and services. This role will focus on building and maintaining ML pipelines for our customers, creating new AI/ML/NLP features in our products, and working with cross-functional teams.

Requirements

• Strong Python programming skills, with experience building torch-based models, use of pandas, numpy, sklearn and other frameworks commonly used for ML/NLP/DS
• ML & NLP background, with deep knowledge of model architectures, prompt engineering and techniques like distillation and fine tuning
• A Bachelor’s Degree in a field of science, technology, engineering or math, or equivalent hands-on experience
• Desire to learn new things, work closely with peers from different teams, and open to teach and learn from others
• Passion for Machine Learning and solving problems
• Excellent written and oral communication skills

Responsibilities

• Build & maintain observability capabilities for all our ML products and services
• Work with our Modeling/Research/ML Ops/Delivery/data teams to onboard, enhance and maintain ML models & pipelines in production
• Desire to Develop python-based services with APIs that meet product needs and can serve models at scale
• Work with our Platform, SRE and Data Infrastructure teams to architect systems
• Follow advancements in AI and ML, and actively participate in discussions about them with the ML and research teams

Benefits

• Internship Duration: 5 months (Jan 2025 to May 2025)
• Work mode: Remote