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Principal Machine Learning Engineer

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Inworld AI
Full Time position
Listed on 2026-11-04
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 240000 - 385000 USD Yearly USD 240000.00 385000.00 YEAR
Job Description & How to Apply Below
Position: Staff / Principal Machine Learning Engineer - USA

Inworld is the leading AI engine for games, enabling developers to build groundbreaking game mechanics, dynamic NPCs and worlds that evolve with each action. Inworld powers experiences built by Niantic, Net Ease Games and LG, among others, and has partnerships with key industry players such as Microsoft/Xbox, Epic Games and Unity.

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, Tensor Flow, or JAX.

Responsibilities

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

In-office location:
Mountain View, CA, United States.

Remote location:
United States.

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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