BehaviorAI is building AI systems that understand human behavior in the real world, with backing from top-tier VC. We are looking for a Machine Learning Engineering Intern in NYC to help design, train, optimize, and deploy advanced machine learning models for real-world data.

This internship is ideal for someone who enjoys turning early technical ideas into robust AI systems and wants hands-on experience helping build a core technology platform from the ground up. You will work directly with the founding team across machine learning, sensing, data, software, and product. You will work on problems that matter to how data, models, and real-world systems come together to create the next generation of AI models.

This is a full-time, on-site internship in New York City.

The Focus

Design, train, evaluate, and deploy machine learning models for real-world sensing and behavior understanding, with emphasis on accuracy, robustness, real-time performance, and practical deployment.

What You Will Do

Design, train, and improve machine learning models on time-series data.
Develop and maintain ML pipelines for data processing, training, evaluation, and deployment.
Work with large-scale proprietary datasets collected from real users in real-world environments.
Optimize models for real-time performance, reliability, and deployment constraints.
Rapidly iterate on model architectures and training strategies based on experimental results and product needs.
Collaborate with hardware, sensing, and software teams to support data collection, system integration, and product development.
Evaluate model performance across users, environments, and deployment scenarios.

What We Are Looking For

Strong hands-on experience in machine learning, deep learning, time-series modeling, signal processing, computer vision, multimodal learning, or related areas.
Experience with PyTorch, TensorFlow, or similar machine learning frameworks.
Comfort working with real-world data, noisy signals, ambiguous requirements, and fast iteration cycles.
Ability to move quickly from prototype models to working systems while maintaining engineering rigor.
Strong ownership mindset, practical problem-solving ability, and comfort working in an early-stage startup.
Experience with real-time systems, edge deployment, wearable sensing, human behavior modeling, or production ML systems is a plus.
Currently pursuing an MS or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field. Exceptional undergraduate candidates with strong relevant experience will also be considered.
Publications in top-tier venues such as NeurIPS, ICML, ICLR, CVPR, or related venues are a plus, but not required.

The Perks

Direct collaboration with the founding team, competitive hourly pay, top-tier VC backing, and a rare opportunity to help build a "Zero to One" technology company at the intersection of AI, wearables, and real-world human behavior understanding. Exceptional interns may be considered for full-time roles.

Hourly rate: $45- $60/hour.

Location: In-person, New York City

Apply: Send your resume to career@behaviorai.ai

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Machine Learning Engineering Internship