Machine Learning Engineer, GPTZero

AI Detection

CA$190-260k

+ Equity; Salary is benchmarked on Canadian rates and may vary by other locations

PyTorch

Mid and Senior level

Toronto

AI-text identification platform

Open for applications

AI-text identification platform

21-100 employees

B2BArtificial IntelligenceMachine LearningSaaS

Open for applications

CA$190-260k

+ Equity; Salary is benchmarked on Canadian rates and may vary by other locations

PyTorch

Mid and Senior level

Toronto

21-100 employees

B2BArtificial IntelligenceMachine LearningSaaS

Company mission

To restore information quality and transparency on the internet.

Job

Company

Role

Who you are

The ideal candidate is someone who has a history of ML research, possesses a great product sense, and is also an excellent software engineer
4+ 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
Bonus:
Strong open-source portfolio
Publications at top-tier ML venues
Experience working in an early-stage startup environment
Understanding of how machine learning models fail in the wild

What the job involves

At GPTZero, we ensure that machine learning models are created for the benefit of humanity, not the other way around
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

Our take

Since generative AI exploded onto the scene, it has been put to good use across a range of industries. Unfortunately, it has also been used to ramp up the production of subpar content which is misleading or completely incorrect. Not to mention it has helped proliferate academic fraud.

GPTZero is on a mission to help combat this AI epidemic, with a platform capable of identifying content written by AI tools such as ChatGPT. Its solutions can help teachers, students, writers, recruiters and more to build back the trust that has been broken by easy-to-access gen-AI.

The company's mission is certainly compelling, and investors agree, with GPTZero receiving impressive funding already. It will use the funds to support its roadmap which includes the development and launch of many new features such as an editor platform that records and cites AI usage.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

Jun 2024

$10m

SERIES A

May 2023

$3.5m

SEED

Total funding: $13.5m

Company benefits

🏥 Health, dental, and mental health benefits
💻 Hybrid work in Toronto and NYC offices
🍰 Equity
🏝 Flexible PTO
🎉 Regular company retreats
💡Mentorship opportunities with our world-class advisors and investors
🙌 Wellness and learning stipend

Company HQ

Civic Center, New York, NY

Leadership

Edward Tian

(CEO)

Worked at the Princeton NLP Lab and was an Investigative Journalist at BBC Africa Eye. Also, they were a Contributing Writer for Bellingcat and Head of Data at Representable.org.

Alex Cui

(CTO)

Was a Research Scientist at Waabi. Has interned in Machine Learning at Uber, Facebook and Kuna Systems. Also interned at Builders VC, and co-founded Open Mind Press and Whimmly.

Salary benchmarks

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