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AI Research Engineer (Reasoning) at Jobisite / America Jobs
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Full-time AI Research Engineer (Reasoning)

at Jobisite in United States Of America

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. We are building a developer-facing cloud-based platform that makes robots smarter, safer and human compatible.

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 on the Reasoning team, your primary responsibility will be to design and implement algorithms for searching through multiple imagined futures. You will create machine learning (ML) pipelines for determining the best imagined future for an agent using reinforcement learning (RL) techniques. You will be expected to apply existing tools in new and unique ways, and design new techniques, algorithms, and approaches 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 pragmatic individual with a strong sense of ownership, urgency, and resiliency. You love coming up with new ideas as much as you love building them, and believe that good software engineering is just as important as academic rigor and experimental design. You’re impressed by the progress AI has made in the last several years, but recognize that there are important gaps preventing responsible, widespread adoption. You want to solve those problems and play a tangible role in building the next generation of AI, because you believe the best is yet to come.

Must-Have Qualifications:

3-5 years experience (previous work, publications, projects, competitions etc.) in
Reinforcement Learning (RL).
Experience in search algorithms such as Beam, A , Monte Carlo etc.
Experience with Python, especially standard numerical libraries such as scipy, pandas, and
numpy
Experience with one or more libraries built on top of computational graphs (e.g.
tensorflow, torch, jax)
Comfort working in a modern, distributed development environment (i.e. docker, gitlab,
conda, mamba etc.)
Ability to communicate your work effectively through documents, presentations, and
reports to stakeholders.
Nice-to-Have's:

Experience in any of the followings:
Python ML libraries such as scikit-learn, PyTorch, Keras, etc.
OpenAI gym libraries
C++
Jupyter Notebook, Google Colab etc.
A way to stand out from the crowd is to have a well-thought-out position on the topic:

“What is common sense?”

Benefits

Competitive salaries
Significant stock
Flexible schedule
Freedom to make ground-breaking decisions
Unlimited time off (we encourage 4+ weeks/year)
“Exploration day” each week when you can research a topic of your choosing.
Medical, dental, and vision coverage
Reference : AI Research Engineer (Reasoning) jobs


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Published at 12-10-2022
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