We're hiring applied scientists (focusing on customer solutions) at multiple levels from Senior to Principal!

Who we are

At Gretel, we’re building a generative AI platform for synthetic data. Gretel’s APIs automatically fine-tune AI models to generate synthetic data on demand while protecting privacy and maintaining the utility and accuracy of the original data. Our synthetic data platform solves the data bottleneck problem for developers, data scientists, and AI/ML researchers across multiple modalities including tabular, time-series, relational, language and image.

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 talented Applied Scientists to join our mission! 

The impact you’ll have

At Gretel, you will be working on ways to make access to data safer, easier and faster without compromising privacy. You'll be building cutting-edge technology to automate the process of synthetic data generation that is provably private using techniques like differential privacy. 

As an Applied Scientist, Customer Solutions, you will be working in close collaboration with Account Executives, Engineering and Applied Science teams to engage in highly technical proof-of-concepts with our customers. The work will span the entire customer engagement cycle, including presenting technical demos, prototyping, creating scalable solutions, and making scientific product improvements that benefit all our customers. 

• Be involved in the end-to-end development of reusable solutions for our customers; assist with customer on-boarding experience, adoption, and expansion.

• Partner with the engineering and applied research teams on addressing customer issues and needs; identify and escalate problems to engineering and support teams.

• Plan, build, and facilitate industry-specific use cases, including education in the form of workshops, webinars, technical blogs, whitepapers and developer community engagement.

• Come up with new ideas or improve upon existing ideas within language modeling, generative AI models for images, audio, and video, improving synthetic tabular data generation algorithms, ethical/fair AI, or privacy enhancing technologies.

Requirements

• M.S. or PhD in Computer Science, related technical field, or equivalent practical experience.

• 3+ years of industry experience in building Machine Learning models.

• Deep experience in machine learning and one of the following: natural language processing (NLP), computer vision (CV), and/or generative AI (GANs, transformers, language models, etc.).

• Deep experience with ML frameworks such as TensorFlow, HuggingFace, PyTorch, OpenCV, Fairlearn, or MLflow

• Programming experience in Python, Java, C++, or other programming languages.

• Excellent communication skills – you will be working directly with customers, so we’re extra mindful about verbal and written communication.

• World-class reliability – our customers will expect rapid responses to product questions.

Nice to haves

• Past experience in creating high-performance implementations of deep learning algorithms.

• Experience with privacy enhancing technologies (differential privacy, federated learning, etc.).

• Experience working remotely in a distributed company.

• Experience working with external customers, ideally in a pre- or post-sales capacity.

• Relevant work experience, including full time industry experience.

At Gretel, we believe that 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.

Compensation

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 Gretel.ai’s stock options is not included in the salary bands and may represent a significant portion of your compensation.)

Senior Applied Scientist $180,000-$210,000 USD

Staff Applied Scientist $200,000-$230,000 USD

Principal Applied Scientist $220,000-$250,000 USD