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Machine Learning Engineer

Latitude
Full-time
Remote
United States
$120,000 - $170,000 USD yearly
Technology & Development

Who we are:

At Latitude, we’re building a new category: AI-native games. As the creators of AI Dungeon, we’re pioneering interactive experiences where players can go anywhere, be anyone, and do anything—powered by cutting-edge language models and deep player agency.

We’re entering a new chapter—and to get where we’re going, we need an elite team. Not just smart, but relentless. People who push themselves and their craft. People who could thrive anywhere, but choose to work here because they want to do something singular: help invent the future of gaming.

If you’re the kind of person others rely on, who learns fast, thinks deeply, and builds with care—we’d love to talk.

About the Role:

As a Junior Machine Learning Engineer at Latitude, you'll be at the forefront of AI innovation in interactive entertainment, directly impacting how players experience our products. You'll blend technical expertise with creative problem-solving to improve our AI models through infrastructure development, experimentation, and model training. This role offers a unique opportunity to work on a wide range of problems on cutting-edge language models while seeing the tangible impact of your work through player metrics and experiences. You'll collaborate across teams to design experiments, monitor system health, develop new models, and build robust AI infrastructure that powers our platform.

What You’ll Do:

  • Develop and enhance AI infrastructure including evaluation frameworks, experimentation pipelines, logging systems, and dataset creation tools

  • Enhance gameplay and player experience by developing and improving AI systems like memory retrieval and context construction

  • Monitor and maintain AI system health by optimizing performance issues and implementing system monitoring tools

  • Evaluate potential and existing LLMs by designing new metrics and developing evaluation tools to measure performance, quality, and alignment with palyer expectations

  • Finetuning custom LLMs through fine-tuning strategies (SFT, DPO) with custom datasets designed for engaging storytelling and human-like interactions

  • Design and execute in-app AI experiments that test model variations, directly measuring their impact on player metrics

You Might Be a Fit If You:

  • A Masters Degree in Computer Science or equivalent experience

  • Excel at developing AI evaluation strategies, custom fine-tuning datasets, and robust machine learning pipelines

  • Enjoy designing and analyzing statistical experiments to extract data-driven insights

  • Have software engineering expertise developing and maintaining complex AI applications in Python and JavaScript

  • Can balance technical excellence with pragmatic solutions in a fast-paced environment

  • Are excited about pushing the boundaries of what's possible with generative AI in gaming

Benefits:

  • Competitive salary with equity included

  • Medical, dental, and vision: 100% coverage for you and your dependents

  • MacBook Pro + tools you need to do great work

  • Flexible PTO (we recommend 2 days/month and 1 week/quarter off)

  • $100/mo learning fund for courses, books, conferences, or coaching

  • Access to the latest AI tools to accelerate your work

How we hire:

We don’t hire lightly. We’re looking for people who’ve proven they’re world-class at what they do—or who are clearly on their way there. People who combine technical strength with humility, creativity with follow-through, and urgency with long-term thinking.

You’ll work with a small, senior team that holds each other to a high bar—and supports each other in reaching it. We care more about trajectory and drive than perfect pedigrees. If you’ve built something exceptional, if you’ve done hard things well, or if you’ve outperformed expectations in surprising ways—tell us.

Latitude is remote-first, though we prioritize deep ties to the Bay Area. Most of all, we prioritize people who want to build something great, together.

If that’s you, apply now. Or reach out even if you’re unsure—we’d rather start a conversation than miss someone who could shape our future.