Principal Engineer – AI

Yesterday

Apply Now

Receive Emails with Similar Jobs

Worldly

WebsiteLinkedInAll Job Openings

Enterprise • Compliance • SaaS

Worldly is a leading provider of sustainability intelligence solutions for brands and manufacturers. The company helps businesses develop and scale sustainability programs by delivering real data about their supply chain, products, and operations. Worldly's platform includes tools for tracking factory impacts, ensuring regulatory compliance, and understanding product impacts through standardized frameworks like the Higg Index. Their services support environmental and social performance assessments, ESG reporting, and supply chain transparency. Worldly's clients benefit from improved visibility into their supply chains and actionable insights to enhance their sustainability performance and comply with emerging regulations.

51 - 200 employees

🏢 Enterprise

📋 Compliance

☁️ SaaS

📋 Description

• Design and lead AI/ML strategy for high-impact domains such as environmental risk modeling, social impact analytics, and supply chain data fusion. • Get hands-on with data and models — prototyping solutions, validating hypotheses, and stress-testing assumptions through real experimentation. • Mentor and provide technical guidance to junior data scientists and analysts across the organization. • Partner with Engineering to design and validate the right tooling, pipelines, and infrastructure. • Partner with Product to shape early-stage AI concepts into viable, explainable features. • Explore, evaluate, and adapt open-source models and frameworks to support our platform needs. • Promote model quality, traceability, and ethical integrity in high-stakes use cases across human and environmental systems.

🎯 Requirements

• 7+ years of experience in machine learning, data science, or applied AI, with a proven track record of owning end-to-end ML solutions in production. • Ability to balance hands-on technical work with strategic leadership and cross-functional collaboration. • Strong fluency in: • - Model development (e.g., PyTorch, TensorFlow, XGBoost) • - Data science workflows (Python, Pandas, MLflow, Airflow, etc.) • - ML and data infrastructure (feature stores, CI/CD for ML, reproducibility tools) • Experience mentoring, coaching, or leading other data scientists or technical contributors. • Comfort navigating ambiguity, especially in pre-product or exploratory problem spaces.

🏖️ Benefits

• Comprehensive benefits offerings. 90% employee premium and 75% spouse/dependent premium covered by Worldly. • Company-sponsored 401 (k) with up to 4% match. • Incentive Stock Options • 100% Parental Paid Leave • Unlimited PTO • 13 company holidays