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New

Machine Learning Engineer (Natural Language Processing) – Toronto, GTA, Hybrid

Metaversemindlab

This is a Full-time position in Whitby, ON posted September 30, 2022.

About Metaverse Mind Lab (MVML) Society is about to begin moving into the Metaverse.

As we build it
– the infrastructure that coordinates us, the rules that govern us, and the avatars that represent us
– we lay the foundation for a new civilization .

Join us on the journey to bring humanity into this new phase of our existence.

Our mission at Metaverse Mind Lab (MVML) is to contribute to the effort of building this new world in a way that enhances human flourishing.

There is a lot of hype and speculation around the Metaverse.

To stay grounded, we focus on a few core economic properties of the Metaverse that will not disappear as the fashion changes, but will persist over time.

MVML is well-funded and continues to add top talent to our team: Machine Learning Engineers, Full-Stack Developers, Virtual Reality Developers, Virtual Reality Artists, and more.

The Opportunity: This is an opportunity to take your machine learning and natural language processing experience and enhance those skills in new ways.

You will be part of a cross-functional team that focuses on building state-of-the-art AI solutions for natural language-based problems in real-time rendered 3D virtual worlds that can be experienced synchronously and persistently by an effectively unlimited number of users with an individual sense of presence and with continuity of data.

You will have the opportunity to research and develop novel solutions to open problems in the field of natural language processing and linguistics.

What’s in it for you: Interesting and Challenging Work.

Develop your skills in new ways with a collaborative team that is focused on enhancing user productivity and well-being.

The Intersection of VR/AI.

Build immersive experiences that push the frontier of integrating machine intelligence with VR.

Impact.

Your work will be used by many and influence the direction of natural language understanding in the Metaverse Ground-Breaking and Meaningful.

We are at the start of an incredible journey.

Come join us.

Our new ML Engineers will: Build.

Build.

Build .

Research and implement suitable algorithms for a range of NLP tasks to build advanced dialogue systems for domain-specific question answering.

Extend ML libraries and frameworks to specific NLP tasks.

Take it to Production.

Work with the broader engineering team to productionalize and deploy ML pipelines efficiently.

Be in the Know .

Remain up to date with the latest developments in the NLP field.

Our new ML Engineers have: Experience.

You bring 3years of hands-on machine learning experience developing high-quality, production-ready solutions.

Education or Know-How.

A degree in Computer Science, Mathematics, Computational Linguistics or a similar field.

Technical Expertise .

Strong understanding of NLP techniques such as semantic analysis, information retrieval, etc., and strong understanding of deep learning models such as RNNs, Transformers, etc.

Experience with machine learning frameworks and libraries such as PyTorch.

Proficiency with Python.

Communication Skills.

Excellent verbal and written communication skills with the ability to take and deliver constructive feedback.

The ability to work in a fast-paced, scrappy environment.

Advantages if you have: Track record of publications in top machine learning or NLP conferences and journals.

Experience deploying large machine learning models.

Knowledge of parallel computing.

What can you expect when you work with MMVL?

We work hard to succeed.

Our workplace is welcoming, fun, inclusive, inspiring, and committed to mission success.

This is us: Challenging Work.

What we are doing has never been done before.

A Friendly and Collaborative Team .

We are mission focused with a desire to succeed and will support each other in doing so.

Hybrid Work Model.

At times, we work together in real life to solve incredibly challenging and interesting problems.

We are currently fully remote but will eventually work some days from an office and some days from home.

We are located in the core of downtown Toronto near major transit.

Health & Wellbeing Support.

Full family health benefits from Day 1.

Experience vs.

Credentials: We want to know what motivates you.

We don’t believe that everyone follows the same career path.So, if you developed machine learning models on your own but don’t have the education to back it up, talk to us anyway and tell us your story , not just your experience and credentials.

Need Accommodations?

Just let us know.

MMVL is committed to providing reasonable accommodations as required and will work with you to meet your needs.

We do not offer visa/work sponsorships