Member of Technical Staff, Intern

Job not on LinkedIn

🕒 March 18

🗽 New York – Remote

🗽 New York – Remote

👨‍🎓 Internship

⚪️ Entry-level

🖥 Software Engineer

🚫👨‍🎓 No degree required

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Adaptive ML

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

Adaptive ML is a company that specializes in adaptive engine technology, allowing businesses to tune and deploy open models using reinforcement learning for high-performance AI applications. They focus on enhancing generative AI by enabling fast inference, feedback collection, safety guardrails, automated A/B testing, and private cloud deployment using their Adaptive Engine. The company aims to optimize AI models to directly drive business outcomes while keeping data secure within the client's cloud. Adaptive ML is backed by significant investment and supports continuous monitoring and improvement of AI models to ensure quality and performance on specific use cases. They offer solutions that require minimal RL knowledge, making it accessible for companies to implement advanced AI capabilities. Their technology emphasizes privacy, control, and optimization of AI models for enterprise uses.

📋 Description

• Contribute to the foundational technology powering Adaptive ML, with support and guidance from the team • Help advance projects by implementing features, running experiments, or improving reliability • Communicate clearly about your work and learn to collaborate in a distributed team environment • Write clear, well-structured code (primarily in Python; exposure to systems programming is a plus, not a requirement) • Help debug issues in distributed or ML-heavy systems • Learn best practices for performance, testing, and robustness • Assist with research on large language models and reinforcement learning • Reproduce and analyze results from recent ML literature • Support empirical experiments and help document findings • Interns are encouraged to explore both areas of engineering and research

🎯 Requirements

• You are in the final year of pursuing (or recently completed) a Master’s degree in computer science, engineering, or a related field • Comfortable programming in Python • Interest in machine learning, AI systems, or large language models • Curious, proactive, and eager to learn in a fast-paced environment • Coursework or projects in machine learning, distributed systems, or systems programming (nice-to-haves) • Familiarity with PyTorch, JAX, or similar frameworks (nice-to-haves) • Experience with research projects or open-source contributions (nice-to-haves)

🏖️ Benefits

• Paid internship • Mentorship and close collaboration with senior engineers and researchers • Exposure to real-world, production AI systems