Why Join Inworld

Inworld is the best-funded startup in AI and games with a $500 million valuation and backing from top tier investors including Intel Capital, Microsoft’s M12 fund, Lightspeed Venture Partners, Section 32, BITKRAFT Ventures, Kleiner Perkins, Founders Fund, and First Spark Ventures.

Inworld is the leading AI engine for games and interactive media. Inworld’s suite of AI components enables developers to build interactive, responsive, and personalized AI gaming experiences, orchestrate models to create intelligent game behaviors, and unlock enhanced productivity with AI-generated content. Inworld powers experiences built by Ubisoft, NVIDIA, Niantic, NetEase Games and LG, among others, and has partnerships with key industry players such as Microsoft Xbox, Epic Games, and Unity.

Inworld was recognized by CB Insights as one of the 100 most promising AI companies in the world in 2024 and was also named among LinkedIn's Top Startups of 2024 in the USA.

We are seeking Staff and Principal level Machine Learning Engineers with extensive experience in Natural Language Processing (NLP). You will be at the forefront of building generative AI products that utilize Large Language Models (LLMs) to create next-generation AI characters.

Qualifications

BA/BS degree or higher in Computer Science, Engineering, or a similar technical field.
6 years of experience with software development in one or more programming languages
4 years of experience with applying machine learning algorithms in natural language processing domains.
1+ years of experience training LLMs (6B parameters and larger) such as NeoX, LLaMA, PaLM, etc. is considered a big plus.
Deep knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX.

Responsibilities

Explore and experiment with cutting edge ML techniques for applied NLP.
Develop and test production-grade scalable generative machine learning models.

Work location: British Columbia, Canada.

The base salary range for this full-time position is CAD $200,000 - $300,000. In addition to base pay, total compensation includes bonus, equity and benefits. Within the range, individual pay is determined by work location and additional factors, including competencies and experience.

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Do you have experience with productionalizing LLMs?

Please describe a project where you were responsible for productionalizing a Machine Learning workflow related to NLP. What were the key challenges, and how did you overcome them?

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What experience do you have with model training and serving optimizations on GPUs or TPUs?

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Staff / Principal Machine Learning Engineer - Canada

Why Join Inworld

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