
Climate Tech Innovator
1 week ago
We are seeking an experienced AI Specialist to design and build AI products and systems that drive business value and create positive social impact. Our team works closely with product managers, software engineers, designers, data engineers, and sustainability experts to develop innovative solutions.
Key Responsibilities:- Design and build AI agents for sustainability professionals that automate emissions calculations, extract insights from emissions inventory, generate sustainability reports, and streamline other key sustainability workflows.
- Develop LLM-powered systems that process and understand sustainability data from various sources like invoices, utility bills, and supply chain documents.
- Build agentic workflows that combine language models with structured data processing and domain-specific reasoning capabilities.
- Continuously improve our multi-ML model carbon engine that calculates carbon emissions using millions of lines of transactional data and proprietary emission factors.
- Design and build scalable, modular ML services on AWS infrastructure that serve both traditional ML models and LLM-based systems in production.
- Implement evaluation frameworks and quality controls for LLM-based systems to ensure reliable performance in production.
- Lead efforts to build AI-powered systems leveraging various data sets to automatically identify and recommend decarbonization solutions for customers.
- 1-3 years of experience in Machine Learning or extensive relevant internships.
- Strong experience in Python, SQL, and modern ML frameworks like transformers, LangChain, or similar libraries.
- Familiarity with LLMs, prompt engineering, and work with LLM APIs or built RAG systems.
- Shipped NLP/ML solutions to production and can demonstrate the impact of your work.
- Owning the entire lifecycle of a Machine Learning project.
- Understanding system design and building scalable ML services.
- Thinking through product problems and working cross-functionally.
- Solid engineering practices, maintainable code, and code quality.
- Proficient with AI-based coding tools and adapting to changing priorities.
- Mentoring others where possible.
- Experience with LLM evaluation, guardrails, or agent frameworks.
- Worked with vector databases and embedding systems.
- Domain knowledge in sustainability, carbon accounting, or climate tech.
- Master or PhD degree in Computer Science, Applied Computing, Computational Linguistics, Machine Learning, or related fields.
- Opportunity to shape product direction and team culture at a fast-growing climate tech startup.
- Work directly with founders and senior leadership on products impacting climate change.
- Gain expertise in applying cutting-edge AI techniques to solve critical sustainability challenges.
- Experience building production AI systems at scale while contributing to a zero-carbon economy.
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