Principal Applied AI Scientist
Gusto is looking for a Principal Applied AI Scientist to join our AI team and build out our Generative AI capabilities.
About the Role:
We’re looking to accelerate AI investments across the business to solve customer pain points, and are growing our Applied AI team. You’ll be a part of the core group of experts exploring big, innovative bets, quickly prototyping solutions and shipping to customers. You're also responsible for quickly iterating on improvements and eventually scaling to production-grade AI applications. You’ll be working alongside a multidisciplinary group of Product Engineers, PMs, and Design.
In this role, you’ll be responsible for designing, building, evaluating, and shipping products that use proprietary and open source LLMs. You’ll be responsible for all aspects of the AI development lifecycle: framing the problem, designing the system, making decisions on frameworks, building, evaluation, and deploying. As an Applied AI Scientist, you’ll own the customer impact end-to-end.
Here’s what you’ll do day-to-day:
Design, develop and deploy innovative AI solutions
Experiment with multi-agent frameworks to build autonomous systems
Improve LLMs through pre-training, fine-turning, and RLHF
Build evaluation for LLMs and LLM based products, and assess best methods required to build LLMs suited for purpose
Collaborate with the engineering team to determine technical requirements and SLAs for API-enabled services
Research novel AI techniques and strategies that create magical customer experiences
Here’s what we're looking for:
8+ years experience designing, evaluating, and productionizing AI applications.
Experience with Agentic AI frameworks (LangGraph and Llama-Index) and experience building, deploying and maintaining LLM-based applications in production are essential
Demonstrated expertise in writing production-level Python code
Proven ability to design and prototype AI solutions quickly
Experience working on multi-agent AI systems to automate end to end workflows
Our cash compensation amount for this role is targeted at $191,000-$237,000/year in Denver, Chicago, and Atlanta, $208,000-$258,000/year in Los Angeles and Seattle, and $225,000-$279,000/year for San Francisco and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
About the job
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Principal Applied AI Scientist
Gusto is looking for a Principal Applied AI Scientist to join our AI team and build out our Generative AI capabilities.
About the Role:
We’re looking to accelerate AI investments across the business to solve customer pain points, and are growing our Applied AI team. You’ll be a part of the core group of experts exploring big, innovative bets, quickly prototyping solutions and shipping to customers. You're also responsible for quickly iterating on improvements and eventually scaling to production-grade AI applications. You’ll be working alongside a multidisciplinary group of Product Engineers, PMs, and Design.
In this role, you’ll be responsible for designing, building, evaluating, and shipping products that use proprietary and open source LLMs. You’ll be responsible for all aspects of the AI development lifecycle: framing the problem, designing the system, making decisions on frameworks, building, evaluation, and deploying. As an Applied AI Scientist, you’ll own the customer impact end-to-end.
Here’s what you’ll do day-to-day:
Design, develop and deploy innovative AI solutions
Experiment with multi-agent frameworks to build autonomous systems
Improve LLMs through pre-training, fine-turning, and RLHF
Build evaluation for LLMs and LLM based products, and assess best methods required to build LLMs suited for purpose
Collaborate with the engineering team to determine technical requirements and SLAs for API-enabled services
Research novel AI techniques and strategies that create magical customer experiences
Here’s what we're looking for:
8+ years experience designing, evaluating, and productionizing AI applications.
Experience with Agentic AI frameworks (LangGraph and Llama-Index) and experience building, deploying and maintaining LLM-based applications in production are essential
Demonstrated expertise in writing production-level Python code
Proven ability to design and prototype AI solutions quickly
Experience working on multi-agent AI systems to automate end to end workflows
Our cash compensation amount for this role is targeted at $191,000-$237,000/year in Denver, Chicago, and Atlanta, $208,000-$258,000/year in Los Angeles and Seattle, and $225,000-$279,000/year for San Francisco and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.