At Second Nature, we are building an innovative AI training solution that leverages advanced speech processing and generative AI technologies. Our platform transforms virtual training through realistic role-play experiences that mirror real-world conversations. We address a broad spectrum of challenges in real-time conversational systems, personalized training content design, and educational impact.
We are looking for a Full Stack Data Scientist to join our dynamic team. Join us in revolutionizing how some of the world’s largest companies train their employees!
In this Role, You Will:
- Lead research initiatives to deliver product-driven experiences utilizing data science methodologies and cutting-edge AI technologies.
- Oversee the entire solution lifecycle — from breaking down product requirements into solvable problems to deploying production-quality solutions.
- Collaborate cross-functionally with product, customer success, BE and FS engineering teams to integrate scalable AI solutions into our app.
- Drive continuous improvement and innovation by defining and establishing metrics for evaluating model performance, including accuracy, bias, and real-time responsiveness.
You’ll be a Great Fit If You Have:
- A M.Sc. / Ph.D. in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
- 3+ years of experience as a Data Scientist in non-academic settings, ideally with a focus on Large Language Models, NLP, or Speech Processing.
- Proficiency in Python.
- Strong software engineering skills.
It’s a Plus If You Have:
- Hands-on experience in modern generative AI models, prompt engineering, multi-agents, and RAG architectures.
- Experience in developing conversational systems.
- Productizing data labeling and validation pipelines, with external products (like Amazon SageMaker Ground Truth, Labelbox, Snorkel) or internally developed solutions.
We aim to build a diverse team with a range of expertise and experience levels. If reading about challenges like automatic grading, low-latency conversational systems, or automatic quality monitoring of generative tasks sparks your curiosity and makes you think about how to solve them, we encourage you to apply!
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