Staff Machine Learning Engineer, GPTZero

• The ideal candidate is someone who has a history of ML research, possesses a great product sense, and is also an excellent software engineer
• 5+ YOE in PyTorch/Transformers
• Led significant and impactful ML projects (such as several 1st author at top-tier conferences or deploying new capabilities in industry)
• Experience pushing the cutting-edge in deep learning and LLMs
• Excellent software engineer with experience building highly extensible and modular codebases, as well as complex pipelines
• Self-starter (pitch, plan, and implement as a project owner in a fast-paced team)
• Highly motivated to make positive societal impact
• Ability to wear multiple hats and be a leader as our team grows
• Visa for work in Canada or US

Desirable

• In this role, you'll build the next-gen platform to verify the origin, quality, and factuality of the world's information
• You'll be working on a fast-paced team of passionate builders to create industry-defining software that has attracted millions of users globally
• Design, train, and fine-tune state-of-the-art language models
• Develop AI agents combined with retrieval-augmented language models
• Build efficient and scalable ML training and inference systems
• Stay up-to-date with the latest literature and emerging technologies to solve novel problems
• Work closely with product and design teams to develop intuitive applications that create societal impact
• You will be working directly with:
• Alex (our CTO) R&D at Uber self-driving division and Facebook, 3 patents in ML
• George (our AI research lead) PhD from University of Toronto and ex-AWS research
• Olivia (our head of design) on translating your research into outputs for millions of users
• Edward (our CEO, ex-Bellingcat, Microsoft, BBC investigative journalism) to craft the messages we send to our community, and shape the GPTZero brand
• Additionally, you will be working with an experienced (eg. ex-Google, Meta, Microsoft, Bloomberg ML, Uber, Vector, MILA), diverse (eg. an engineering team with both Y-combinator and Obama scholarship recipients, a designer with art featured in the Met), and driven (eg. an operator who has scaled a company to 100M+ revenue and is committed to doing it again) group of individuals, described by one investor as one of the strongest founding teams seen in their career