Machine Learning Engineer (LLM)

GPTZero’s mission is to restore information quality and transparency on the internet.

As a ML engineer on the GenAI team,  you'll build the next generation of AI tools that preserve and enhance critical thinking for humanity. The ideal candidate is someone who is adept at creating reliable AI agents, prompt engineering, possesses a great product sense, and is also an excellent software engineer. You'll be working on a fast-paced team of passionate builders to create industry-defining software that has attracted millions of users globally.

Who are we?

Our team comes from high-performing engineering cultures, including Uber, Meta, Perplexity, Microsoft, Affirm, and leading AI research labs, including Princeton, Caltech, Vector, and MILA. We are working on novel models and pushing cutting-edge research to production, including AI detection, AI hallucination detection, retrieval augmented generation, and writing stylometry to over 3 million active users, and enterprise clients including Fortune 1000 and Unicorn AI companies.

We are backed by some of the best in the valley, including Footwork, Uncork, Neo, Altman Capital, and in journalism, including Mark Thompson (CEO of NYT, BBC, CNN) and Tom Glocer (CEO of Reuters) who defined a generation of quality digital information.

Responsibilities

• Fine-tune and evaluate state-of-the-art language models
• Optimize prompts to maximize classification accuracy, personalize outputs, and enforce style guidelines
• Develop multi-agent workflows incorporating data from diverse sources using RAG
• Improve and iterate on AI agents using observability and experimentation tools
• 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

Qualifications

• 3 YOE in Python
• 1 YOE in LLM framework like Langchain or LlamaIndex
• 1 YOE with agentic or RAG applications
• Strong exploratory data analysis (EDA) skills to effectively leverage data in a way that informs pragmatic solutions
• Experience pushing the cutting-edge in LLM abilities on novel tasks with subjective outputs
• 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
• US work eligibility or visa

Bonus

• Strong open-source portfolio
• Publications at top-tier ML venues
• Experience working in an early-stage startup environment
• Experience with a prompt optimization framework like DsPY or TextGrad

Who you'll be joining

You will be working directly with

• Edward (CEO), data-powered investigative journalism at BBC and Bellingcat, threat intelligence at Microsoft, ML researcher at Princeton
• Alex (CTO), Ph.D. dropout, R&D at Uber self-driving division and Facebook, 3 patents in ML, 2021 and 2019 Best ML Hack at Stanford
• 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. 

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.

Together, we are committed to making a permanent impact on the future of writing, and on humanity.

Our Angels and Advisors

• Tom Glocer (former CEO of Reuters, who recently reviewed the beta and is advising our product team on launching hallucination detection)
• Russ Heddleston (CEO Docsend, our favorite GTM advisor who recently dropped into all-hands to share additional strategies for growing our self-serve GTM motion)
• Ruslan Salakhutdinov (former director of AI at Apple, and current VP of Research for LLama, who meets monthly with our team to advise on AI model development)
• Amy Saper (founding product marketer at Stripe, who offers time with our team on growth strategies)
• Jack Altman (CEO of Lattice, brother of Sam Altman) on building great product culture
• Mike Smith (COO Walmart.com, COO StitchFix) and Jeff Barrett CTO StitchFix, on scaling a great engineering team.

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Our Perks

• 🏥 Health, dental, and mental health benefits
• 💻 Hybrid work in Toronto offices
• 🚀 Competitive salary
• 🍰 Equity (We are a cash-flow positive/profitable company experiencing exponential growth in multiple industries. We are open to sharing our growth metrics with applicants.)
• 🏝 Flexible PTO
• 🎉 Regular company retreats
• 💡Mentorship opportunities with our world-class advisors and investors
• 🙌 Wellness and learning stipend