Staff / Principal Machine Learning Engineer - Canada

5 Hours ago • 6 Years + • Artificial Intelligence

About the job

SummaryBy Outscal

Must have:
  • 6+ years software development experience
  • 4+ years applying ML algorithms in NLP
  • Deep knowledge of PyTorch, TensorFlow, or JAX
  • Develop production-grade ML models
  • Explore cutting-edge NLP techniques
Good to have:
  • 1+ years training LLMs (6B+ parameters)
  • Experience with NeoX, LLaMA, PaLM
Perks:
  • Bonus
  • Equity
  • Benefits
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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.

Inworld Jobs Privacy

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$150.0K - $225.0K/yr (Outscal est.)
$187.5K/yr avg.
Vancouver, British Columbia, Canada

About The Company

Inworld powers AI-driven gameplay for video games and immersive experiences. 


Whether you’re looking to unlock novel gameplay, create content at scale, improve player immersion, or future proof your AI infrastructure, Inworld helps uplevel your game development with AI.


Inworld has worked with Xbox, Ubisoft, NVIDIA, NetEase Games, Niantic, LG UPlus, Alpine Electronics, and indie game developers to create AI-driven experiences. We’re backed by top-tier investors including Section 32, Intel Capital, Microsoft’s M12 fund, BITKRAFT Ventures, Kleiner Perkins, Founders Fund,and First Spark Ventures. 


The Inworld product suite includes: 


Inworld Engine powers real-time experiences with groundbreaking game mechanics, dynamic NPCs, and worlds that evolve with each action. AI NPCs can learn and adapt, deliver nuanced performances, perceive the world around them, and autonomously initiate actions based on players' decisions. 


Inworld Studio consists of a suite of tools that enhance game design. Using AI to streamline workflows, the Studio enables developers to workshop, draft, and outline storylines, narratives, dialogue, quests, and more.  


Inworld Core is our custom solution for future-proof AI infrastructure, including custom models, training, serving and security.

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