Senior Applied Scientist

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🕒 March 7

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Sayari

WebsiteLinkedInAll Job Openings

1 - 10 employees

🔬 Science

🤝 B2B

Science • B2B

Sayari is a French environmental consultancy and research bureau that helps organizations operationalize the latest scientific advances for sustainable decision-making. The firm develops environmental data, conducts life-cycle assessments, and builds strategies for product environmental impact, biodiversity, and water resilience. Sayari serves public actors, large companies, SMEs and startups by delivering bespoke studies, tools and trainings to anticipate regulation, improve performance, and enhance attractiveness to investors and stakeholders. Headquartered in Saint-Germain-en-Laye, France, Sayari participates in national initiatives such as AGRIBALYSE and environmental footprint committees.

📋 Description

• Model Ownership: Design and execute fine-tuning strategies (LoRA, full fine-tuning) and own the experimentation cycle from hypothesis through production deployment. • Data Strategy: Build and refine data collection and labeling strategies for complex, messy domains, including designing auto-labeling pipelines. • Architecture: Evaluate and select base models (proprietary and open-source) for domain-specific tasks, focusing on small language models (SLMs). • Deployment: Deploy fine-tuned models to production using cloud ML platforms (Vertex AI, SageMaker, or equivalent). • Evaluation: Develop rigorous evaluation frameworks that measure real-world performance on agentic workflows, not just benchmarks.

🎯 Requirements

• 5+ years of experience in applied ML with a focus on model training and fine-tuning in a commercial setting. • 2+ years of hands-on experience with LoRA and full fine-tuning—you have shipped these, not just read about them. • 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. • Strong opinions about base model selection, held loosely—you can articulate tradeoffs between architectures.

🏖️ 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 • Outstanding compensation package; competitive commissions for revenue roles and quarterly bonuses for non-revenue positions • 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 • A collaborative and positive culture - your team will be as smart and driven as you • Limitless growth and learning opportunities