Join Distyl AI as an Applied AI Researcher to redefine software usage and explore new AI system architectures.
Posted by employer 1 year ago
First seen on Joblaze 2 months ago
Last verified on the company career page 18 hours ago
Skills & Technologies
AI in the day-to-day
You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow.
Not disclosed in this posting: years of experience, visa sponsorship.
Benefits
Joblaze summary
In the role of Applied AI Researcher for System Discovery at Distyl AI, the individual will focus on identifying innovative AI system architectures and exploring new modalities to enhance human-AI collaboration. Candidates should possess a strong background in building diverse AI systems and demonstrate expertise in advanced techniques like ensembling and agentic collaboration. This position is ideal for experienced researchers who thrive in a dynamic environment and are eager to redefine software applications in enterprise settings. Distyl fosters a mission-driven culture that emphasizes creativity and practical impact.
Joblaze insights
Quick facts
From the original posting
At Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used.
Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org.
Analogous to hypothesis generation in the space of AI for scientific discovery, the System Discovery team focuses on identifying entirely new classes of AI systems. Researchers explore a wide range of architectures, modalities, and compositions to uncover how AI can most effectively reshape work
Draw connections across disparate domains to uncover new system archetypes. Experiment with unconventional problem definitions and develop prototypes that reveal new categories of human–AI collaboration
Experience Building a Wide Breadth of Systems: You’ve built across many paradigms—retrieval pipelines, reasoning agents, evaluation harnesses, multimodal integrations, or workflow graph systems—and can abstract what makes each effective
Experience Building with Models, Not Just Building Models: We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.)
Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done
Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow
Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI
Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize
The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
Flexible time off
Complimentary in-office lunches and snacks provided
Ownership of high-impact projects across top enterprises
#LI-Hybrid
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