ML Engineer

Wizard is at the forefront of revolutionizing the e-commerce landscape by leveraging generative AI and advanced messaging technologies. We're building a next-generation shopping assistant that personalizes the entire shopping experience for consumers, scanning the internet to find the perfect products based on individual needs.

We're seeking ML Engineers to join our team, with a focus on NLP expertise. The role involves working on sophisticated dialogue systems, from fine-tuning Large Language Models (LLMs) to building robust data pipelines and entity resolution systems. Even if you don't have direct NLP experience but possess strong Python skills and ML exposure, we welcome your application.

As an ML Engineer at Wizard, you'll be instrumental in building and maintaining training pipelines for LLM fine-tuning, working with various architectures and optimizations. You'll be responsible for GPU deployment of models, ensuring optimal performance and resource utilization. The role requires quick problem-solving abilities and the capacity to translate product challenges into ML solutions.

We offer a competitive compensation package starting at $185,000, along with comprehensive benefits including medical, dental, and vision coverage, mental health support through Spring Health, and generous parental leave. Join us in shaping the future of AI-powered shopping experiences while working with cutting-edge technologies in a fast-paced, growth-oriented environment.

The ideal candidate will have 1-3 years of ML experience, with either advanced degrees in relevant fields or exceptional practical experience. You'll work with modern technologies including GCP, Kubernetes, PyTorch, and Node.js, making this an excellent opportunity for growth in the rapidly evolving field of generative AI.