Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI, Ranking): Building and optimizing machine learning models to enhance search engine ranking systems for ecommerce, driving improvements in key business metrics such as conversion, engagement, and user satisfaction. Focus on designing, deploying, and optimizing large-scale ML solutions in real-time high-load environments, and innovating ranking algorithms.

Location: Fully remote, choose where you live.

Salary: $80,000–$120,000 USD base salary, plus stock options.

Company

hirify.global is a next-generation platform for search and discovery in ecommerce, utilizing transformers and generative LLMs to optimize for revenue, conversion rate, and profit.

What you will do

• Design, deploy, and optimize machine learning models to enhance search engine ranking systems.
• Analyze ranking performance and identify gaps in search, browse, and autocomplete experiences.
• Proactively propose new machine learning models, algorithms, and features to advance the ranking pipeline.
• Collaborate with technical and non-technical business partners to develop and update ranking functionalities.
• Ensure that solutions are deployed in real-time environments, handling high-throughput requests efficiently while maintaining low-latency performance.

Requirements

• At least 4 years of experience with Python for machine learning and backend development.
• At least 4 years of experience developing, deploying, and maintaining machine learning models with a strong focus on ranking systems.
• Experience in large-scale ML model training, evaluation, and optimization, with a focus on real-time inference and serving.
• Experience with big data frameworks such as Spark for processing large datasets and integrating them into ML pipelines.
• Proficiency in using tools like SQL, PySpark, Pandas, and data pipeline orchestration tools like Airflow or Luigi.
• Excellent English communication skills.

Nice to have

• Experience working on ranking algorithms that optimize metrics such as relevance, conversion rates, personalization, and user engagement.
• Experience collaborating in cross-functional teams and leading projects to success.

Culture & Benefits

• Unlimited vacation time, with encouragement to take at least 3 weeks per year.
• Fully remote team with a work from home stipend.
• Apple laptops provided for new employees.
• Annual training and development budget.
• Maternity & Paternity leave for qualified employees.
• Regular team offsites to connect and collaborate.