Description:

The Applied Science team at Gretel is seeking a Machine Learning Engineer who is passionate about building software that developers love.
Gretel is focused on creating a platform that combines differential privacy with AI to generate synthetic data, enabling organizations to unlock sensitive data for AI development and analytics.
The company promotes a collaborative remote-first culture with employees across the U.S. and Canada, offering autonomy and tools for employees to act like owners.
The role involves designing and implementing software for core products, collaborating with applied scientists, engineers, and product managers to unlock real-world use cases for synthetic data generation.
The engineer will work on projects such as improving heart disease detection models and creating safe datasets for medical research.

Requirements:

Candidates must have 5+ years of professional experience in software development, ideally with a specialization in machine learning.
Significant experience with tools from Python’s machine learning ecosystem is required.
A strong foundation in deep learning and related mathematics is necessary.
Demonstrated experience in complex software projects with a track record of delivering technical excellence is essential.
Nice to have: Experience working remotely in a distributed company, developing large-scale models, and working with LLM evaluations or information-retrieval systems.

Compensation will be based on interview performance, experience, specialization, and market rate, with salary ranges for Senior Machine Learning Engineer between $180,000-$210,000 USD and Staff Machine Learning Engineer between $200,000-$230,000 USD.
Employees will receive a review of base salary, bonuses, benefits, and stock options during the offer discussion.
Gretel is committed to creating an inclusive environment and provides accommodations for candidates with disabilities.
The company values diversity and aims to blend various perspectives to enhance technological advancements.