Applied Scientist
About The Position
As an Applied Scientist at Golden Analytics, you’ll build out advanced approaches for AI-assisted data analysis. You know the rapidly-changing AI tech and techniques extremely well, have a history of experimentation to refine and validate AI approaches with data, and a strong desire to see these techniques employed in a real application. You will push the AI techniques on a rapidly-moving BI platform to the next level, and provide the solid intellectual and scientific reasoning behind the techniques we choose. You’ll build new models to be the brain of a platform centered around working for data.
Requirements
- Strong experience in AI experimentation and development, specifically around data collection and validation of the effectiveness of models.
- Strong experience in application of tuning and experimentation to LLM models as well as more traditional ML methods.
- Experience building new models and fine-tuning existing models for new domains.
- Exposure to full stack, cloud-based development environments - Vite, Node, TypeScript, React, Postgres, Vercel, Supabase (and more as we grow).
- Experience building with AI/ML technologies (LLMs, vector databases, coding agents, etc.).
- Product thinking and customer orientation.
- Comfort with ambiguity and rapid iteration.
Nice To Haves
- Geek out over AI tools and techniques.
- All over coding agents and modern dev environments.
- Strive to learn and encode that learning in ways today’s development systems can use.
- Shipped AI-enabled solutions.
- Guided coding agents to help move faster.
- Know the limits of AI tech, but push it to help do more.
- Strong product sense and think like a founder.
- Understand that the best code is the code that delivers the most customer value, but that you can reliably maintain.
- Comfortable jumping on customer calls, gathering feedback, and translating that directly into what you build.
- Move fast, learn fast, ship fast.
- Understand that velocity is a feature.
- Comfortable with iteration, learning from failures, and pivoting quickly.
- Write scalable code that you can stand behind, but know when to optimize for delivery speed versus perfection.
- Love what you do and have fire in your belly for building something meaningful.
- Want to stand with pride next to what you build every day.
- Want to be on a mission and be part of something that transforms how people work with data.
Responsibilities
- Build out advanced approaches for AI-assisted data analysis.
- Push AI techniques on a rapidly-moving BI platform to the next level.
- Provide solid intellectual and scientific reasoning behind chosen techniques.
- Build new models to be the brain of a platform centered around working for data.
- Develop data collection and experimentation systems for AI models.
- Create models to power an “AI analyst” and capture best practices for working with data.
- Develop natural language interfaces for analytics.
Benefits
- Ground floor opportunity at a well-funded startup (backed by top-tier VCs)
- Work directly with founders and customers
- Shape product decisions and company culture
- Competitive salary and equity
- Embrace new technologies to help be amazing for our customers
- Doing the best work of your life
- Actually having fun at your job again
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
