Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Building and optimizing ML/DL models for search and discovery in e-commerce, utilizing transformers and generative LLMs, with an accent on improving customer experience and business KPIs. Focus on building and deploying robust ML systems, tuning LLMs, and collaborating with technical teams.

Location: Fully remote, work from anywhere.

Salary: $7,500 – $9,000/month net

Company

Constructor.io is a U.S.-based product company that develops a next-generation platform for search and discovery in e-commerce, leveraging AI and LLMs to optimize for revenue, conversion rate, and profit.

What you will do

• Build and deploy robust ML systems for search, including text, image, and multimodal approaches.
• Tune LLMs to improve system performance across various aspects, not limited to existing solutions.
• Improve business KPIs by using new techniques/models and validating hypotheses.
• Collaborate with other technical teams to exchange experiences and improve the overall system.
• Be responsible for your and your team's deliverables and outcomes.

Requirements

• 3+ years of professional experience in applied machine learning.
• Excellent NLP knowledge, especially transformer-based approaches.
• Comprehensive knowledge of classical machine learning and extensive Python knowledge.
• Experience with any DL framework (PyTorch) and any SQL dialect (SparkSQL, MySQL, etc.).
• Proven track record of delivering production ML systems.
• Proficiency with big data stack (PySpark) for end-to-end ML product development.

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-offs.
• Ability to explain difficult concepts and a passion for performance optimization.

Culture & Benefits

• Unlimited vacation time, with a strong encouragement to take at least 3 weeks per year.
• Fully remote team with a work-from-home stipend.
• Apple laptops provided for new employees.
• Training and development budget refreshed annually.
• Maternity & Paternity leave for qualified employees.
• Work with smart people who will help you grow and make a meaningful impact.
• Regular team offsites to connect and collaborate.