Our Purpose
At Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. With the rise of the internet, trust in AI has been degraded by a plethora of issues like spam, fraudulent transactions, hate speech, and online abuse. Fiddler enables organizations to get ahead of these issues by building trustworthy, transparent, and explainable AI solutions.
Why Join Us
Our team is motivated to unlock the AI opaque box and help society harness the power of AI. Joining us means you get to make an impact by helping reduce algorithmic bias and ensure that models in production across many different industries are transparent and ethical. We are an early-stage startup and have a rapidly growing team of intelligent and empathetic doers, thinkers, creators, builders, and everyone in between. The AI and ML industry has a rapid pace of innovation and the learning opportunities here are monumental. This is your chance to be a trailblazer.
The Opportunity
In this role, you will be able to make a real impact on the safety of large language models and generative AI solutions across different verticals. You will work on the cutting edge of envisioning and building new types of tools and algorithms to monitor, explain, and improve such models.
What You'll Do
- Design and build a world-class cloud platform to help enterprises monitor and analyze their ML models, covering both predictive models as well as LLM and Generative models
- Design enterprise-grade, scalable APIs and frameworks to run analysis and validation of customers’ ML models and workflows
- Develop new types of metrics and evaluation methods for quality and robustness of ML models
- Work with product and customer facing teams to enhance and expand our product
- Recommend and implement engineering best practices, improve the functionality of existing software, and ensure that the design, application, and maintenance of software meets quality standards
What We're Looking For
- BS/MS/PhD in Computer Science or equivalent
- 3-4 years of experience
- Proficiency with Python
- Experience working with ML models in production. Experience with common LLM frameworks (Langchain, Llamaindex, RAG, HuggingFace, and eval frameworks like Ragas or Presidio)
- Experience debugging and troubleshooting production systems, on call support experience
- Experience working with common distributed systems infrastructure: Redis, Postgres, RabbitMQ, Celery, Flask
- Nice to have: Knowledge of infrastructure management (AWS / Google Cloud, Kubernetes, or equivalent on-premises technologies)
- Nice to have: Experience building large scale distributed systems and working with columnar and vector databases
- Preferably Hybrid with at least 1 day a week in the Palo Alto office. Will consider full remote for a strong candidate on the West Coast
Benefits Extracted with AI
- Competitive salary
- Opportunity to work on cutting-edge technology
- Inclusive and diverse work environment
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