Checksum.ai is hiring a Full-Stack Machine Learning / AI Engineering Leader to join the founding team!

We are a well funded, early stage startup led by serial entrepreneurs with over $1B in exits to Salesforce and Microsoft.

Checksum.ai is at the forefront of artificial intelligence, using AI to automatically QA software based on real user behavior and application analysis. Our AI models learn how to use apps and create realistic and durable tests so engineering teams can move fast.

We are looking for a creative, self motivated and results-driven ML/AI Engineer who will join the founding team to lead the ML efforts towards tackling this one of a kind challenge.

Mindset

You’re a builder and a hands-on problem solver. Hooking into a concept and quickly and continuously extracting value is what you do. Your knowledge and experience allow you to stay organized and efficient in a typically dynamic and “noisy” startup environment. You’re a team player, a leader and a mentor.

Finally, the thought of joining an early-stage startup to assume responsibility for some of the most critical developments makes you feel excited.

Requirements

• Bachelor’s Degree in Computer Science, Statistics, Applied Mathematics, or other related fields.
• Having a PhD is a plus, but is not as important to us as demonstrating a proven track record of building solutions for real-world problems which met with actual customers.
• 5+ years of experience in developing end to end machine learning solutions, involving substantial software development (programming) efforts, 3+ years of hands-on experience with Python.
• 2+ years of professional experience with NLP, 1+ years of professional experience with Large Language Models (LLM)/GenAI technology like OpenAI API, ChatGPT, GPT-4, Bard, Langchain, HuggingFace Transformers, PyTorch and similar, 1+ years of experience with prompt engineering, 1+ years of experience with vector databases.
• 1+ years of experience with fine-tuning open source LLMs, familiarity with PEFT, model quantization & optimization techniques such as GPTQ, (Q)LoRA.
• 2+ years of experience with AWS, GCP or Microsoft Azure, 2+ years of experience with MLOps, CI/CD pipeline development, containerization, model deployment in test and production environments.
• Solid understanding of backend development principles, including software architecture, API design, databases, and server-side frameworks.
• Proficiency in data preprocessing techniques, exploratory data analysis and feature engineering.

Advantages

• Formerly assumed lead position in a similar environment, recruited and developed a team, successfully coordinated and managed multiple efforts executed by its members.
• Experience with developing techniques for enhancing accuracy and reliability of generative AI models.
• Applied research background leveraging frameworks to build LLM prototypes, knowledge of best practices for production LLM development.

Why should you apply?

• Opportunity to join a startup at the very first steps but already after substantial funding.
• Shape the company’s DNA with us, create impact farther than the engineering scope.
• Design the engineering systems from scratch. Choose your tech stack, coding language and architecture.
• Work closely with serial entrepreneurs with total exits over $1B.
• Competitive salary and generous equity.