Sanity · 1 month ago
Applied Scientist (AI/ML), New Venture (Senior to Staff level)
San Francisco Bay Area
Full-time
Hybrid
Senior Level, Lead/Staff
$240K/yr - $275K/yr
5+ years expSanity.io is building the future of AI-powered Content Operations, and they are seeking a Senior Applied Scientist to lead the innovation and research for their next generation of AI capabilities. The role involves designing and developing tools and pipelines for content understanding and retrieval, while collaborating with cross-functional teams to integrate AI solutions into products.
CMSDeveloper PlatformPaaSSaaS
Responsibilities
Lead research and development of novel approaches for content understanding, structuring, and retrieval to enable AI agents and LLMs to access optimal context
Research and prototype novel approaches to knowledge graph construction, entity extraction, and relationship mapping for AI-powered content systems
Stay at the forefront of LLM research, understanding model behaviors, limitations, and capabilities to inform system design decisions
Develop evaluation frameworks and metrics to measure and improve the performance of AI systems, including designing experiments to test new methodologies
Design and conduct experiments to validate new approaches, analyzing results and iterating based on findings
Keep up with the latest research in LLMs, RAG, knowledge graphs, and related fields, translating cutting-edge academic work into practical applications
Collaborate closely with data engineers and full stack engineers to integrate innovative AI solutions into the product
Qualification
Required
Based in the San Francisco Bay Area and able to work at least 2 days per week in our San Francisco office
5+ years of experience in software engineering, applied AI/ML research, or a related technical field, with a strong track record of taking ideas from concept to production
2+ years of hands-on experience working with large language models (LLMs) or building AI-powered applications
Deep expertise in large language models (LLMs), including understanding of model architectures, training methods, fine-tuning, prompt engineering, and evaluation techniques
Strong background in Natural Language Processing (NLP), information retrieval, and semantic understanding
Experience with knowledge graphs, graph databases, entity extraction, and relationship mapping
Strong software engineering skills with the ability to write production-quality code and take research prototypes to scalable implementations
Ability to work independently on exploratory research while also collaborating effectively with cross-functional teams
Strong analytical and experimental mindset - you love designing experiments, analyzing results, and iterating based on data
Excellent problem-solving skills and intellectual curiosity about how things work under the hood
Strong communication skills and ability to explain complex technical concepts clearly to both technical and non-technical audiences
Comfortable with ambiguity and excited about working on undefined problems that require creative solutions
Benefits
Comprehensive health plans and perks.
A healthy work-life balance that accommodates individual and family needs.
Competitive salary and stock options program.
Company
Sanity
Sanity is a platform for structured content that lets teams build digital experiences.
201-500 employees
H1B Sponsorship
Sanity has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (2)
Funding
Current Stage
Growth StageTotal Funding
$135.7MKey Investors
Bullhound CapitalShopifyICONIQ Growth
2025-05-02Series C· $85M
2022-06-28Corporate Round
2021-06-24Series B· $39M
Leadership Team
Magnus Kongsli Hillestad
CEO & Co-founder
Even Westvang
Co-Founder
Recent News
2025-10-02
2024-05-08
Company data provided by crunchbase