Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Designing and optimizing high-load ranking systems for an ecommerce search and discovery platform with an accent on relevance, personalization, and conversion rate improvement. Focus on scaling ML-based ranking algorithms, managing real-time inference pipelines, and processing massive datasets to enhance search and autocomplete experiences.

Компания

hirify.global is a next-generation search and discovery platform for ecommerce that utilizes generative AI and transformers to optimize business metrics like revenue and conversion.

Что делать

• Design and develop ML-based ranking solutions to enhance search, browse, and autocomplete systems.
• Improve ranking quality by analyzing relevance, personalization, and diversification metrics.
• Optimize ranking algorithms to meet business goals and improve user satisfaction.
• Build and maintain offline data pipelines using Python, Spark, and Databricks.
• Collaborate with cross-functional teams to integrate new ranking functionalities into the product.
• Develop monitoring tools to measure and ensure model performance and search quality.

Требования

• Minimum 4 years of experience with Python for machine learning and backend development.
• Minimum 4 years of experience developing, deploying, and maintaining ML models with a focus on ranking.
• Strong experience in large-scale ML model training, evaluation, and real-time inference.
• Proficiency with big data frameworks (Spark), SQL, PySpark, and Pandas.
• Experience with orchestration tools like Airflow or Luigi for automated workflows.
• Excellent English communication skills.

Хорошо, если есть

• Proven track record of optimizing business metrics like conversion rates or RPV through ranking.
• Experience mentoring or helping others grow as developers.
• Passion for experimentation and data-driven decision-making.

Культура и преимущества

• Fully remote work environment.
• Unlimited vacation time with a 3-week annual minimum.
• Work from home stipend for office setup.
• Annual training and development budget.
• Apple hardware provided.
• Stock options and competitive salary.
• Regular company offsites for collaboration.