Weedmaps is looking to solve the problem of building and deploying sophisticated AI and machine learning systems that power their marketplace and e-commerce platform.
Requirements
- Expert Python skills and experience with modern LLM endpoints
- Experience with MLOps practices for model monitoring, maintenance, and lifecycle management
- Demonstrated expertise in machine learning algorithms and frameworks (e.g. TensorFlow, PyTorch, or scikit-learn) as well as modern LLM systems (Anthropic, OpenAI) with a proven track record of deploying models to production
- Proficiency in software engineering best practices, including version control, code review, testing, and documentation
- Strong understanding of data engineering principles and experience with data preprocessing, feature engineering, and data quality assurance
- Experience with cloud computing platforms, preferably AWS (particularly SageMaker and Bedrock)
- Experience using AI endpoints such as Claude or ChatGPT for embeddings and more advanced AI pipeline use cases
Responsibilities
- Lead the technical execution of a multi-disciplinary team including application engineers, ML engineers, data engineers, and other specialists, including setting clear technical goals and timelines
- Own delivery quality and establish engineering and architectural standards and design patterns for ML services
- Coordinate cross-team dependencies and ensure seamless integration of ML systems
- Develop and implement frameworks for measuring ML model effectiveness, including comprehensive evaluation metrics and automated evaluation pipelines
- Partner with stakeholders to translate business requirements into technical roadmaps and resource allocation decisions
- Oversee the development of production-ready Python-based ML models with a focus on advanced NLP, similarity metrics, and product matching and recommendations
- Provide expert guidance on architecture, tooling, and implementation of ML pipelines and workflows
Other
- Bachelor's degree in Computer Science, Data Science, or related quantitative field
- 2+ years of experience leading technical teams in a Tech Lead capacity, preferably in ML/AI applications
- 4+ years of experience building and deploying ML/AI models in production environments
- 6+ Years of relevant experience in Machine Learning, Data Science, Data/Software Engineering
- History of effective collaboration with cross-functional teams to deliver ML solutions that drive measurable business results
