Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Building and optimizing ML/DL models to improve customer experience by providing relevant results for search, with an accent on text/image & multimodal approaches and tuning LLMs. Focus on delivering end-to-end visual solutions for customers, including image search, shop the look, and visual recommendations.

Location: Fully remote

Salary: $80k–$120k USD

Company

hirify.global is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit.

What you will do

• Build and deploy robust ML systems for search, including text/image & multimodal approaches.
• Tune LLMs to improve the system in different aspects.
• Improve business KPIs by using new techniques/models and validating hypotheses.
• Collaborate with other technical teams to exchange experiences to improve the overall system.
• Be responsible for what you and your team do.

Requirements

• 3+ years of professional experience in applied machine learning.
• Excellent NLP knowledge, especially transformer-based approaches.
• Comprehensive knowledge of classical machine learning.
• Extensive Python knowledge.
• Experience with any DL framework (using torch).
• Experience with any SQL dialect (using SparkSQL, MySQL and a couple more dialects).
• Delivered production ML systems.
• Proficiency with big data stack for end-to-end ML product development (using Pyspark for most of pipelines).
• Ability to translate intuition into data-driven hypotheses that result in engineering solutions that bring significant business value.
• Proactivity and willingness to help teammates & others.

Nice to have

• Experience designing, conducting, and analyzing A/B tests.
• Experience with Rust (or C/C++).
• Experience with a public cloud like AWS, Azure, or GCP.
• Strong knowledge of data structures, algorithms and their trade-off.
• Ability to explain difficult concepts and work on performance optimization.

Culture & Benefits

• Unlimited vacation time (strongly encourage all of employees take at least 3 weeks per year).
• 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.
• Stock options - offered in addition to the base salary.