We are an early stage stealth US-based startup backed by a few top-tier investors (led by NEA). Our R&D blends robotics, machine learning, and high-fidelity simulation. We aim to push the boundaries of what intelligent systems are capable of achieving both autonomously and in collaboration with humans.
Before starting Neo Cybernetica, our CEO founded the unicorn AI company DataRobot and led for almost a decade while working directly with worldwide customers across many industries.
We are looking for people who are going to become parts of this company’s DNA. Significant stock and freedom to make ground-breaking decisions applies.
You can expect to be part of something exciting at the contour of human knowledge.
Before starting Neo Cybernetica, our CEO founded the unicorn AI company DataRobot and led for almost a decade while working directly with worldwide customers across many industries.
We are looking for people who are going to become parts of this company’s DNA. Significant stock and freedom to make ground-breaking decisions applies.
You can expect to be part of something exciting at the contour of human knowledge.
Website:
https://neocybernetica.com/
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· 153 views · 7 applications · 6d
Machine Learning Intern (Robotics) to $500
Part-time · Office Work · Ukraine (Kyiv) · B2 - Upper IntermediateAbout the Role: We are looking for a Machine Learning Intern passionate about robotics, robot arms, and applying machine learning to control and perception. In this role, you’ll work on the foundations of our robot learning stack and have the opportunity...About the Role:
We are looking for a Machine Learning Intern passionate about robotics, robot arms, and applying machine learning to control and perception. In this role, you’ll work on the foundations of our robot learning stack and have the opportunity to influence fundamental technical decisions. You’ll also get hands-on experience with cutting-edge robotic systems, building and demonstrating impressive robot manipulation capabilities using various hardware platforms.
What You’ll Do:
- Collaborate with the team during daily check-ins to align on goals and progress.
- Contribute to the development of the machine learning stack: implementing new features, debugging, and optimization.
- Collect, curate, and filter data (automatically or manually, depending on the task).
- Train neural network policies for robotic arms.
- Work on computer vision components within the robot learning framework.
- Document, schedule, and evaluate experiments.
What We’re Looking For:
- Programming experience (preferably in Python)
- Projects or work experience
- Basics of: linear algebra, calculus (derivatives), probability, and statistics.
What Makes You Stand Out:
- Practical experience with deep learning frameworks (PyTorch, JAX).
- Familiarity with robot arms (inverse kinematics, control fundamentals).
- Background in data analysis, computer vision, statistics, or optimal control.
Who You Are:
- Enthusiastic about robotics and machine learning.
- A proactive problem solver, willing to raise a hand when stuck, ask questions, and offer help.
- A team player with strong communication skills and openness to feedback.
- Flexible and adaptable to changing priorities and technical directions.