We're hiring applied scientists at multiple levels from Senior to Principal!

Who we are

At Gretel, our mission is to build the world’s first developer platform for synthetic data. Our 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. 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. 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 a highly collaborative remote-first company with employees across the US & Canada. Our innovative and transparent culture offers employees the autonomy, tools, and trust to act like owners. We’re disrupting how organizations innovate with data and are looking for talented Applied Scientists to join our mission! 

The impact you’ll have

As an Applied Scientist, you will be working on our core product with a proactive, builder, customer-focused mindset. You’ll identify and build new, better, and safe ways to make synthetic data accessible to people everywhere. You'll be researching, shipping, and iterating on AI models and cutting edge technologies to shape the future of synthetic data, data privacy, and AI ethics. You will unlock real-world use cases with synthetic data generation that our enterprise customers are working on today, including models that can better detect heart disease across genders and ethnicities, financial models that can better respond to unseen data and market changes, and safe datasets that enable medical researchers to share data on rare diseases without compromising patient identity. 

With 135k+ developers on Gretel’s platform, millions of models trained, and hundreds of billions of records generated, this is your chance to have a massive impact on the synthetic data industry.  

• Explore new applications and techniques within language modeling and generative models for multiple modalities, improving synthetic tabular data generation algorithms, ethical/fair AI, and privacy enhancing technologies.

• Actively collaborate with engineering, sales engineering/solutions architects, product, sales, and marketing as a part of the customer-feedback loop to better understand our end-users and use cases to design and build more effective and efficient solutions.

• Research, design, and build end-to-end reusable, scalable solutions for our customers and users.

• Partner with the sales engineering teams on building complex customer solutions; identify and escalate problems to engineering and support teams.

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

• Stay abreast of developments in AI, actively sharing and trying out new approaches.

• Mentor colleagues and promote a culture of knowledge sharing.

Requirements

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

• 3+ years of industry experience in building, training, and fine-tuning Machine Learning models, including defining, vetting, and iterating on metrics and running online controlled experiments (A/B testing, interleaving).

• A track record of applied research in AI/ML, as demonstrated by leading research projects, conference presentations, in-depth blog posts, or first author publications.

• Profound experience and understanding across advanced models, such as Transformers, LSTMs, GANs, CNNs, and diffusion models.

• Extensive experience with ML frameworks such as TensorFlow, HuggingFace, PyTorch, Keras, OpenCV, Fairlearn, or MLflow and Python libraries like Pandas

• Programming experience in Python and experience with Cloud providers such as AWS, GCP, and Azure

• Builder Mindset - you’ve contributed to open source projects and/or have built your own model, tool, or product. 

• Excellent communication skills – you will interact with customers and/or assist with community-related events, so we’re extra mindful about verbal and written communication.

Nice to haves

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

• Familiarity with information retrieval systems and/or RAG architectures.

• Experience with LLM agents.

• Previous startup experience, especially in SaaS and B2B space is a plus.

• Experience working remotely in a geographically distributed company.

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