# Machine Learning Engineer Intern, AI & Robotics at RoboForce

Machine Learning Engineer Intern, AI & Robotics at RoboForce in Milpitas, CA. On-site, internship, paying $5k–$7k. Posted November 3, 2026.

- Company: RoboForce
- Location: Milpitas, CA
- Workplace: On-site
- Job type: Internship
- Pay: $5k–$7k
- Posted: 2026-11-03
- Apply: https://job-boards.greenhouse.io/roboforce/jobs/5470001008
- Source: https://jobmagic.ai/jobs/machine-learning-engineer-intern-ai-robotics-roboforce-2n7bjd

## Requirements

- Currently pursuing an advanced degree in Computer Science, Robotics, Machine Learning, or a related field, with a graduation date in 2026 or 2027.
- Proficiency in multimodal models, modern machine learning architectures (e.g., transformers and diffusion models), and reinforcement learning.
- Proficiency in deep learning frameworks such as PyTorch, JAX, or TensorFlow.
- Requires 5 days/week in-office collaboration with the teams.

## Description

**Why RoboForce**

RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company’s robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.

We are seeking a **Machine Learning Engineer Intern** to join us in developing advanced AI capabilities for robotics. The internship starts from **November 2026 for 3-6 months**. As part of our team, you will help build the foundational AI ecosystem, spanningdata collection, labeling, training, evaluation, and deployment.

You will collaborate closely with a team of world-class AI engineers and gain hands-on experience solving real-world challenges at the intersection of artificial intelligence and robotics.

**Responsibilities**

- Train and improve robot foundation models, including vision-language-action (VLA) models and world-action models, for precise, contact-rich manipulation in industrial settings.

- Explore new modalities and methods, including tactile and force-torque sensing, reinforcement learning, and simulation, to advance model capabilities.

- Build data pipelines for robot learning, including data collection, curation, labeling, and dataset quality assurance.

- Design and run evaluations in simulation and on real robots to measure and improve model performance.

- Deploy models on robots and optimize them for real-time onboard inference.

- Work closely with robotics, hardware, and product teams to bring models from research to production.

**Requirements**

- Currently pursuing an advanced degree in Computer Science, Robotics, Machine Learning, or a related field, with a graduation date in 2026 or 2027.

- Proficiency in multimodal models, modern machine learning architectures (e.g., transformers and diffusion models), and reinforcement learning.

- Proficiency in deep learning frameworks such as PyTorch, JAX, or TensorFlow.

- **Requires 5 days/week in-office collaboration with the teams.Bonus Qualifications**

- Exposure to robot learning using tactile and/or vision-based sensors.

- Expertise in object pose estimation, bimanual manipulation, and synthetic data.

**Duration:**

- 3–6 months, full-time

**Compensation: **

- $5,000 - $6,500 monthly salary