Principal Machine Learning Engineer

NxT Level
San Francisco, CA, US
Full-time

Job Description

Job Description

Position Overview :

Our client is seeking a Principal Software Engineer focused on backend development to help us build the infrastructure behind their AI-powered game generation tools.

This role will involve the design and development of backend systems, focusing on performance, scalability, and state-of-the-art machine learning integration.

You will collaborate with their founders and AI experts to develop and deploy AI-driven features that elevate online multiplayer experiences.

Key Responsibilities :

  • Lead the design, development, and optimization of scalable backend services for machine learning-based video game engines.
  • Create and maintain backend APIs and server-side components to support AI-powered game generation tools.
  • Collaborate with AI teams to integrate advanced machine learning models into game development pipelines.
  • Develop and optimize data pipelines for high-volume, real-time data streaming and machine learning applications.
  • Ensure applications meet high-performance standards and are optimized for reliability in live game environments.
  • Actively participate in the prototyping and iteration of new AI features in a fast-paced, product-driven environment.
  • Lead initiatives to create bespoke training datasets for AI models, ensuring they are effective in real-time gameplay scenarios.

Requirements :

  • Bachelor's degree in Computer Science, Engineering, or related field. An advanced degree focused on AI / ML is a plus.
  • 5+ years of experience developing backend systems, with expertise in Python, Golang, or Node.js.
  • Deep experience with machine learning, model training, and inference workflows, with a focus on real-time, high-performance applications.
  • Experience working with cloud providers (preferably AWS) and DevOps tools such as Kubernetes for managing scalable infrastructures.
  • Proven experience integrating AI models, such as GPT or Stable Diffusion, into production environments.
  • Strong problem-solving skills and attention to detail, with a track record of delivering production-ready systems.
  • Experience with large-scale data processing frameworks and tools such as Langchain, Pinecone, or Gantry.
  • A passion for video games and deep enthusiasm for innovative game development technologies.

Why Join Us :

  • Be part of a groundbreaking team working on the future of AI-powered game creation.
  • Collaborate with industry veterans and top-tier AI experts.
  • Flexible work environment with options for remote work.
  • Competitive salary and benefits, with Riot-level compensation.
  • 29 days ago
Related jobs
ThousandEyes
San Francisco, California

As a Distinguished Engineer on the AI Ops team, you will be responsible for building the next-generation routing engine for the Internet using Data Science, Machine Learning (ML), and Artificial Intelligence (AI). You and your team will be designing and implementing large-scale machine learning pipe...

Discord
San Francisco, California

You have experience building Machine Learning Platforms, putting Machine Learning into production, and an understanding of ML models and techniques. Our aim is to create the best experience throughout the machine learning workflow, from training to serving. You will build the Machine Learning platfo...

Karkidi
Berkeley, California

We’re looking for a driven machine learning engineer comfortable working on large integrated machine learning systems. If our mission of revolutionizing robotics through machine learning resonates with you, get in touch and let’s talk about how we can create the next generation of AI-powered capable...

DeepRec.ai
CA, United States

Design, implement, and maintain machine learning pipelines based on the product roadmap. Proven experience working with large-scale distributed systems and machine learning platforms. Strong proficiency in Python, PyTorch, and related machine learning libraries. ...

Nuance Communications
San Francisco, California

As a Founding Machine Learning Engineer, you will be a critical member of our startup team, driving our mission to detect AI-generated images. Design, develop, and deploy machine learning models to detect AI-generated images. Publish findings and contribute to the broader machine learning community ...

1st. Creative Learning Academy Inc.
San Francisco, California

Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impac...

Square
San Francisco, California

Machine Learning is an integral part of how we design products, operate, and pursue Cash App’s mission to serve the unbanked as well as disrupt traditional financial institutions. Using machine learning methods and systems, this team reduces the prevalence of inauthentic identities in Cash’s ecosyst...

DoorDash
San Francisco, California

We’re looking for a passionate staff level Applied Machine Learning expert to join our team. In this role, you will utilize our robust data and machine learning infrastructure to develop a comprehensive AI/ML service to create accurate tax categorization for billions of restaurants and non-restauran...

Zoox
San Mateo, California

The 3D Simulation group at Zoox is looking for machine learning engineers to bring the latest research in 3D vision to improve diversity and blur the line between simulation and reality. Research, implement, and optimize state of the art machine learning approaches to improve simulation variation an...

Automation Technologies LLC
San Francisco, California

Design, implement, and evaluate machine learning models and features. ...