Senior To Principal Applied Scientist

Summary

Join Gretel, a remote-first company building a synthetic data platform, as an Applied Scientist. You will work on core product development, researching and implementing AI models for synthetic data generation. Your responsibilities include collaborating with various teams, building scalable solutions, and contributing to industry use cases. This role requires a strong background in AI/ML, experience with various frameworks and programming languages, and excellent communication skills. Gretel offers competitive compensation, including base salary, bonus, benefits, and stock options. The company fosters a collaborative and innovative culture.

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

Responsibilities

• Identify and build new, better, and safe ways to make synthetic data accessible to people everywhere
• Research, ship, and iterate on AI models and cutting edge technologies to shape the future of synthetic data, data privacy, and AI ethics
• Unlock real-world use cases with synthetic data generation
• 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

Preferred Qualifications

• 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

Benefits

• Senior Applied Scientist $180,000-$210,000 USD
• Staff Applied Scientist $200,000-$230,000 USD
• Principal Applied Scientist $220,000-$250,000 USD
• Bonus (for applicable roles)
• Benefits and perks
• Stock options
• Remote work