Staff / Principal AI Researcher

9 Hours ago • All levels • $240,000 PA - $385,000 PA

Job Summary

Job Description

As a Staff / Principal AI Researcher at Inworld, you will be involved in researching, designing, and implementing machine learning models and algorithms. This includes developing state-of-the-art models and contributing to cutting-edge research in artificial intelligence. Your responsibilities will also encompass experimenting with new architectures and algorithms, training and evaluating large-scale ML models, and collaborating with cross-functional teams. You will also communicate results internally and publicly, and mentor junior researchers and engineers. The work also involves exploring novel ideas, training large-scale models, and collaborating closely with other researchers and engineers.
Must have:
  • PhD or equivalent experience in a related field.
  • Strong background in machine learning research, demonstrated by publications or significant contributions.
  • Experience in training large models and working with state-of-the-art approaches in machine learning.
  • Proficiency with ML frameworks such as PyTorch, TensorFlow, or JAX.
  • Knowledge of advanced AI architectures, including transformers, diffusion models, and reinforcement learning techniques.
  • Programming skills in Python or similar languages.
Good to have:
  • Familiarity with pre-training, fine-tuning and evaluating LLMs such as LLaMA, Mistral, Qwen, etc.

Job Details

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Why Join Inworld

Inworld is the leading provider of AI technology for real-time interactive experiences, 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 provides the market’s best framework for building production ready interactive experiences, coupled with dedicated services to optimize specific stages of development – from design and development, to ML pipeline optimization and custom compute infrastructure. We help developers bring their AI engines in-house with a framework optimized for real-time data ingestion, low latency, and massive scale. 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 named among LinkedIn's Top Startups of 2024 in the USA.

We are seeking Staff and Principal level AI Researchers with extensive experience in researching, designing, and implementing machine learning models and algorithms. You will be at the forefront of advancing our AI capabilities by developing state-of-the-art models and contributing to cutting-edge research in artificial intelligence. Your work will involve exploring novel ideas, training large-scale models, and collaborating closely with other researchers and engineers to push the boundaries of what's possible in AI.

Qualifications

  • PhD or equivalent experience in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field.
  • Strong background in machine learning research, demonstrated by publications or significant contributions to the field.
  • Experience in training large models and working with state-of-the-art approaches in machine learning.
  • Proficiency with ML frameworks such as PyTorch, TensorFlow, or JAX.
  • Knowledge of advanced AI architectures, including transformers, diffusion models, and reinforcement learning techniques.
  • Programming skills in Python or similar languages.
  • Familiarity with pre-training, fine-tuning and evaluating LLMs such as LLaMA, Mistral, Qwen, etc., is a significant plus.

You May Be a Good Fit If You Have

  • Have a track record of innovating and improving machine learning algorithms.
  • Are passionate about understanding and developing model architectures, and enjoy performing careful empirical research.
  • Own and pursue a research agenda, choosing impactful problems and autonomously carrying out long-term projects.
  • Enjoy collaborating in a team environment, working together to make significant discoveries.
  • Are excited about staying up-to-date with the latest advancements in machine learning research and its applications.
  • View research and engineering as two sides of the same coin, engaging in both to achieve your goals.

Responsibilities

  • Conduct cutting-edge research to advance our AI models and capabilities.
  • Develop and implement novel machine learning techniques, experimenting with new architectures and algorithms.
  • Train and evaluate large-scale ML models, optimizing for quality, latency and cost.
  • Collaborate with cross-functional teams, sharing insights and integrating research findings into our products.
  • Communicate results internally and publicly, contributing to the broader AI community.
  • Mentor junior researchers and engineers, fostering a culture of learning and collaboration.

Representative Projects

  • Exploring the impact of new attention mechanisms within transformer architectures to improve model quality and latency.
  • Investigating methods for 3D animation synthesis by performing ablation study to thoroughly compare diffusion vs flow-matching based approaches.
  • Developing algorithms for on-device AI, optimizing transformer-based models for specific hardware constraints.
  • Researching and implementing techniques for creating new AI voices, enabling developers to generate and use them at runtime.

In-office location: Mountain View, California, United States. Candidates must be based in the SF Bay Area or willing to relocate (you will be working on-site in our South Bay office a few days a week). 

The US base salary range for this full-time position is $240,000 - $385,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future.

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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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