Government Relations Officer - Supervised Saudis only

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 We aim to push the boundaries of what intelligent systems are capable of achieving both autonomously and in collaboration with
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
You can expect to be part of something exciting at the contour of human
About the Role

As an AI Research Engineer, your primary responsibility will be to design and implement algorithms for generating human-interpretable You will create machine learning (ML) pipelines for extracting hierarchical structures and represent them in human-readable 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 You will have plenty of opportunities to apply tools in new and unique ways or design new algorithms as
In this role, you will work directly on the core technology of our You will have opportunities to see the results of your work both in real and virtual
About you:

You are a self-motivated individual with a strong sense of ownership, urgency, and You are open to learning new ways of doing things and good at build working relationships with existing team 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
Must-Have Qualifications:

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

Nice-to-Have's:

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

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