Machine Learning Engineer

Summary

Join our team focused on enhancing search system quality by improving recall and relevance. As a Machine Learning Engineer, you will build and optimize models to improve search quality, fine-tune large language models, integrate advanced vector search techniques, and utilize real-time relevance signals. You will collaborate across the stack, from model development to deployment, to drive measurable improvements in search performance and user satisfaction. The ideal candidate possesses a strong background in machine learning and information retrieval, with experience in delivering scalable, production-ready solutions. This role offers a competitive salary, stock options, and a fully remote work environment with various benefits.

Requirements

• Be proficient in NLP on a high level, and have practical experience with modern architectures
• Excel at Python, at least one ML/DL framework (we're using torch), have proficiency with any variant of SQL, and feel comfortable with the big data stack like Spark, Presto/Athena & Hive
• Have delivered production ML systems and conducted A/B tests to validate their value
• Have experience with data pipeline orchestration tools (Airflow) to manage and automate ML workflows
• Be an excellent communicator with the ability to translate intuition into data-driven hypotheses that result in engineering solutions that bring significant business value
• Have excellent English communication skills

Responsibilities

• Build and deploy robust ML systems for search, including vector search, results filtering, computer-vision models, etc
• Tune large language models (LLMs) to provide expert-level decisions on item relevance, and work on integrating these signals into real-time models
• Design metrics to evaluate the relevance and performance of search results, ensuring they align with business goals and user expectations
• Collaborate with technical and non-technical partners to develop explanation tools that clearly communicate the impact of our algorithms to stakeholders
• Own the full development lifecycle: design solutions, develop and deliver them to production, while ensuring our systems remain stable, performant and scalable

Preferred Qualifications

• Have a passion for helping others grow and succeed as developers
• Have a data-driven mindset with a passion for experimenting and using customer feedback to drive decision-making
• Possess strong strategic planning and prioritization skills
• Continuously learn and track recent advancements in the field of AI and ML

Benefits

• Base range of 90-110k USD + stock options + work from home bonus
• Fully remote team - choose where you live
• Work from home stipend!
• Apple laptops provided for new employees
• Training and development budget for every employee, refreshed each year
• Parental leave for qualified employees
• Work with smart people who will help you grow and make a meaningful impact