About Us

We are a next-gen cybernetics start-up 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.

You can expect to be part of something exciting at the contour of human knowledge.

About the Role

As an AI Research Engineer, your primary responsibility will be to design and implement algorithms for generating human-interpretable skills. You will create machine learning (ML) pipelines for extracting hierarchical structures and represent them in human-readable formats. You will need to understand the vision and architectural decisions behind the existing code, this will help you learn and become very familiar with the code base and acquire an ability to develop features with minimal supervision while maintaining an ability to collaborate with fellow team members. You will have plenty of opportunities to apply tools in new and unique ways or design new algorithms as needed.

In this role, you will work directly on the core technology of our company. You will have opportunities to see the results of your work both in real and virtual worlds.

About you:

You are a self-motivated individual with a strong sense of ownership, urgency, and resiliency. You are open to learning new ways of doing things and good at build working relationships with existing team members. You are able to work with minimal direction and input, you are also able to document your work for projects via wiki or some other means of document tracking.

Must-Have Qualifications:

• 5 + years of experience working with supervised and unsupervised ML algorithms such as classifiers (e.g., boosted tree algorithms), regressors (e.g., linear regression), PCA, k-means etc
• 5+ years experience (previous work, publications, projects, classes, competitions etc.) in Reinforcement Learning (RL). Solid understanding of (both theoretical and practical) the traditional RL algorithms such as Q-learning, actor-critic etc.
• 5+ years experience with Python ML libraries such as scikit-learn, PyTorch, Keras, gym etc.
• Ability to communicate your work effectively through documents, presentations, and reports to stakeholders.

Nice-to-Have's:

• Experience in any of the followings:
• Explainable artificial intelligence (XAI).
• Behavior trees (BTs).
• Control systems background.
• Robotics background.
• Optimization background.
• Experience with time series analysis.

A way to stand out from the crowd is to have a well-thought-out position on the topic:

“ What are the major limitations of AI systems today and what are the practical ways to combat them? ”

Benefits

• Competitive salaries
• Significant stock
• Flexible schedule
• Freedom to make ground-breaking decisions
• Unlimited time off (we encourage 4+ weeks/year)
• Medical, dental, and vision coverage