Staff Machine Learning Engineer, Backend Engineering


Gretel is solving the data bottleneck problem for developers, data scientists, and AI/ML researchers by providing them with safe, fast and easy access to data without compromising on accuracy or privacy. Designed by developers for developers, Gretel’s APIs make it simple to generate anonymized and safe synthetic data so you can preserve privacy and innovate faster.  We’re disrupting how organizations innovate with data and are looking for a talented Machine Learning Engineer to join our mission! 

The Impact You’ll Have

As a Staff Machine Learning Engineer focused on ML and AI centric feature delivery, you will play a critical role in enhancing the synthetic data features of Gretel’s platform. In this position, you will be responsible for building and maintaining robust features utilizing various machine learning competencies to deliver critical capabilities to data scientists and machine learning customers of Gretel. This work is highly impactful and will contribute to the growth and success of Gretel’s platform with new and existing customers.

What You Will Do

  • Work within the backend engineering team, focusing on parts of the product that directly utilize machine learning tooling or enable customers to use synthetic data within their own machine learning processes

  • Contribute to core areas of the product such as: synthetic modeling algorithms, Gretel’s synthetic data evaluation framework, and Gretel’s core platform components where ML is used to acquire and process customer data with synthetic data models

  • Contribute to Gretel’s LLM ecosystem by working with LLM agents, contributing to Gretel’s Tabular LLM, and Gretel’s GPT-x model which enables customers to operationalize open-source LLMs for synthetic data generation

  • Be a core contributor of code, tests, and application/data/systems architecture on a small team of engineers working across the stack

  • Own both customer and developer happiness for your products in production, working with your own and other teams to build operational transparency and resiliency into every layer of deployed applications

  • Coordinate with engineering and product leads to define, prioritize, and task projects that help us meet business objectives with our partners


  • A minimum of 7+ years of software engineering experience, including significant experience building on cloud provider platforms and working with ML/AI frameworks and tooling

  • Strong programming skills in Python, with 5+ years for machine learning (ML) modeling and applied research

  • Hands-on experience with building Deep Learning applications

  • Proficiency in using ML toolkits such as PyTorch, TensorFlow, etc.

  • Familiarity with platforms such as AWS, GCP, Kubernetes, Docker, etc.

  • Demonstrated experience in working on complex software projects and a track record of delivering technical excellence

  • Strong communication skills, both written and verbal

  • The ability to effectively manage multiple communication channels

We think the best ideas come from the blending of diverse perspectives and experiences, which will lead to a stronger company and advancements in technologies.  We hire individuals whose peers call them subject matter experts, whose curiosity draws them to new edges of their field and who like to laugh.  We are deeply collaborative, apolitical and mission-oriented.

Gretel is an equal opportunity employer. Individuals seeking employment and employees at Gretel are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. 

Accommodations: We celebrate diversity and are committed to creating an inclusive environment for all candidates and employees. If you need assistance or an accommodation due to a disability, please let your recruiter know.


Employee compensation will be determined based on interview performance, level of experience, specialization of skills, and market rate. During the offer discussion, your recruiter will review the finalized base salary, bonus (for applicable roles), benefits and perks (additional information available on our career site), and stock options as they’ll be reflected in the offer letter. 

Employees hired in the U.S. and Canada can expect the below information to reflect a reasonable estimate of the salary offered for this role. Salary ranges are updated regularly using premium market data. (Please note: it is unusual for new hires to receive a base salary at the top of the range. Additionally, the value of’s stock options is not included in the salary bands and may represent a significant portion of your compensation.)

Staff Machine Learning Engineer: $200,000-$230,000 USD


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