Principal Engineer – AI
Worldly
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $160,000 - $210,000 per year
Job Level
Lead
Tech Stack
AirflowPandasPythonPyTorchTensorflow
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdata scienceapplied AImodel developmentPyTorchTensorFlowXGBoostPythonPandasMLflow
Soft skills
mentoringtechnical guidancestrategic leadershipcross-functional collaborationnavigating ambiguity