Sayari
Senior Applied Scientist (Remote, US)
Remote - US · Senior
Sponsorship not specified$185k-$200kDetected 137 days ago
Machine LearningPyTorchA/B Testing
About the role
- About Sayari: Sayari is the judgment infrastructure for trustworthy AI in economic security and commercial risk.
- The Sayari Commercial World Model resolves 11.7B+ primary-source records from 250+ jurisdictions forming the ground truth of global commerce.
- Trusted by U.S. Customs and Border Protection, HM Revenue & Customs, and Fortune 500 enterprises, Sayari is used by thousands of professionals across 35+ countries to secure supply chains and dismantle illicit networks.
Responsibilities
- A Judgment Ontology, encoding over a decade of investigative tradecraft, and Superconductor, an agentic orchestration platform, deliver AI that reasons like an expert analyst, shows its work, and traces every finding to its source.
- Sayari's AI Innovation Lab is building the proprietary models that power our understanding of global corporate ownership, trade networks, and entity resolution.
- We're hiring a Senior Applied Scientist to own domain-specific model development end to end-from data strategy through training, evaluation, and deployment.
- You'll work closely with our Technical Lead on architecture and strategy decisions, and alongside a small team of AI/ML engineers who ship together.
- You'll be building models that go to production on messy, high-stakes data-corporate records, trade manifests, beneficial ownership structures.
- Design and execute fine-tuning strategies (LoRA, full fine-tuning) and own the experimentation cycle from hypothesis through production deployment.
- Build and refine data collection and labeling strategies for complex, messy domains, including designing auto-labeling pipelines.
Skills
- 5+ years of experience in applied ML with a focus on model training and fine-tuning in a commercial setting.
- Track record of deploying fine-tuned models to production on cloud ML platforms.
- High comfort level working with messy, unstructured data and designing labeling strategies from scratch.
- Proficiency with HuggingFace, PyTorch, and at least one cloud ML platform.
- Deploy fine-tuned models to production using cloud ML platforms (Vertex AI, SageMaker, or equivalent).
Compensation
- $185,000 - $200,000 USD
Benefits
- 100% fully paid medical, vision, and dental for employees and their dependents
- Generous time off
- we observe all US federal holidays, close our office for a winter break (12/24-12/31), in addition to granting 18 PTO days and 10 sick days
- A strong commitment to diversity, equity, and inclusion
- Eligibility to participate in additional benefits such as 401k match up to 5%, 100% paid life insurance (up to $100,000 coverage),, and parental leave
- Limitless growth and learning opportunities
Equal opportunity
- equal opportunity employer and strongly encourages diverse candidates to apply.
- We believe diversity and inclusion mean our team members should reflect the diversity of the United States.
This listing is sourced directly from Sayari's careers page and normalized into a canonical job model.