ML Open Source Lead

Ideogram

$120K — $180K *
US-AnywhereRemote in United States
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Advanced degree or equivalent research experience in Machine Learning or similar field.
  • Strong hands-on experience in Python and ML libraries (e.g., PyTorch, JAX, TensorFlow).
  • Familiarity with LLMs and advanced deep learning architectures like Transformers.
  • Experience publishing research or engaging in open-source ML projects.
  • Excellent communicator with a passion for the open-source community.
  • Willingness to quickly learn and explore new open-source tools and ideas.

Responsibilities

  • Define and execute open-source strategy for model weights and methodologies.
  • Oversee and manage projects on GitHub and Huggingface.
  • Champion open science by creating demos and writing technical blogs.
  • Build partnerships with model providers and contribute to AI accessibility.
  • Transition proprietary implementations into open-source code ensuring quality and usability.

Benefits

  • Competitive compensation and equity recognizing your contributions.
  • 4 weeks of vacation for personal time and exploration.
  • Comprehensive health, vision, and dental coverage from day one.
  • RRSP/401(k) with employer match up to 4% to support your savings.
  • Access to top tools and technologies to enhance productivity.
  • Toronto HQ perks including daily in-office meals and convenient transportation.
  • Autonomy in exploring new ideas with necessary resources provided.
  • A culture fostering learning, growth, and mentorship opportunities.
Full Job Description
About The Role

The open-source ML leader serves as a bridge between Ideogram's internal research teams and the broader AI ecosystem. This person will be tasked with turning foundational research into usable, high-quality public tooling, while actively growing and maintaining a healthy developer community.

Responsibilities:
  • Open-Source Strategy: Define and execute a vision for releasing open model weights, methodologies, and code.
  • Community Leadership: Oversee GitHub and Huggingface repositories.
  • Advocacy & Outreach: Champion open science by building open source demos (e.g. implementing lora fine-tuning for our models), writing technical blogs, answering questions from the community, and presenting at conferences.
  • Ecosystem Collaboration: Partner with model providers, internal engineers, and external contributors to push AI accessibility forward.
  • Research-to-Release: Convert internal, proprietary implementations into polished open-source code, ensuring quality, reproducibility, and ease of use for the community.


What We're Looking For:
  • Advanced degree or equivalent research experience in Machine Learning or Deep Learning, or a related field
  • Uses personal and professional platforms to amplify open research initiatives and invite collaboration
  • Strong hands-on experience in Python and ML research libraries such as PyTorch, JAX, or TensorFlow
  • Familiarity with LLMs and modern deep learning architectures (e.g., Transformers, diffusion models, reinforcement learning with human feedback)
  • Experience publishing research or working on open-source projects in ML, computer vision, or NLP
  • Excellent communicator who enjoys engaging with the developer and open source community
  • Passion for open source projects and community-driven research/tooling
  • Great communication skills
  • Willing to dive into things quickly, pick up new tools from the open source community, and enjoys exploring new ideas


What We Offer

Competitive compensation and equity designed to recognize the value and impact of your contributions to Ideogram's success.
4 weeks of vacation to recharge and explore.
Comprehensive health, vision, and dental coverage starting on day one.
RRSP/401(k) with employer match up to 4% to invest in your future from the moment you join.
Top-of-the-line tools and tech to fuel your creativity and productivity.
Toronto HQ perks: Steps from Union Station and the PATH, with daily in-office lunches and dinners.
Autonomy to explore and experiment - whether you're testing new ideas, running large-scale experiments, or diving into research, you'll have access to compute/resources you need when there's a clear business or creative use case. We encourage curiosity and bold thinking.
A culture of learning and growth, where curiosity is encouraged and mentorship is part of the journey.

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