Role overview
Plastics.com, powered by Herman Ai, is harnessing the power of artificial intelligence to build a Generative Engineering Marketplace to revolutionize technical engineering materials purchasing workflows. Herman Ai does this by bridging the gap between engineers who use plastics and manufacturers who create them. Our advanced AI agent matches product requirements with ideal plastic compounds, with a focus on sustainable plastics. Herman leverages a combination of public and proprietary data to enable rapid, precise material recommendations that can be easily ordered within a marketplace.
We are looking for a skilled Senior AI Engineer to help us build out the AI infrastructure to run our agentic platform (Herman AI) from experimentation, data ingestion, and context engineering. Building a two-sided marketplace is a unique challenge that requires advanced data models across material properties, predictions, pricing, and logistics. Our product combines ML models with novel AI-driven agents to produce a unique user experience, enabling effortless selection, sourcing, and procurement of plastics.
You will work to develop a world-class AI team, work to refine AI strategies, build reliable and scalable workflows that protect our growing ML asset. A key focus will be to prioritize key developments that accelerate features that set our platform apart. We believe our transformative approach unlocks new possibilities in plastics innovation, enabling faster, smarter, and more efficient product development and material discovery to build a more sustainable world.
As part of our cross-disciplinary team, you will work alongside MIT-trained engineers, scientists, and business professionals to build a groundbreaking AI platform for the plastics industry. Join us in transforming how the world approaches plastic materials through cutting-edge technology and innovation.
Job Responsibilities
- Experiment management – Build and maintain a data science and AI workflow that effectively grows our organizational knowledge through a KPI driven workflows.
- Architect and optimize AI systems – Continuous work to improve the performance (accuracy, speed, and cost) of our agentic AI system architecture and infrastructure for our data science, engineering, and ML training efforts.
- Data & Analytics – Develop custom dashboards, automate reports, and provide insights for data-driven decision-making and product performance monitoring.
- Product management and leadership – Effectively build, lead, and mentor cross-functional teams to launch new data-driven and AI-enabled tools that enhance customers' user experience within the Plastics.com platform.
- Ethics & compliance: Work to ensure our AI systems comply with relevant ethical, privacy, and regulatory standards.
What we're looking for
- Master’s or PhD degree in Mathematics, Physics, AI, Computer Science, or related fields, or equivalent professional experience.
- 2+ years of experience as a full-stack engineer or ML engineer.
- Skilled in managing KPI driven data science workflows
- Well-versed in best practices
- Expertise in using Agile methods for implementation and definition of features i.e. Jira
- Strong leadership and project management skills.
- Excellent communication skills and ability to collaborate in a fast-paced environment.
What We Offer:
- Competitive salary and equity options.
- Health insurance and other benefits.
- A collaborative and innovative work environment with opportunities for professional growth.
- The chance to work on transformative technologies in the plastics and AI space.