Remote Machine Learning Engineer

Summary

The job is for an AI Shopping Assistant Product Engineer at Constructor, a fast-paced ecommerce platform optimization company. The role involves building ML systems, designing products utilizing novel GenAI-based approaches, optimizing open-source LLMs, participating in strategic planning, collaborating with partners, and developing analytical dashboards.

Requirements

• Comprehensive understanding of classical machine learning techniques
• Experience with big data technologies for end-to-end ML product development
• Knowledge of Natural Language Processing (NLP), especially transformer-based approaches is a plus
• Proficiency in Python. Experience in async programming in Python
• Skilled in developing and maintaining analytical dashboards for business and ML metrics
• Practical experience in designing, developing, and maintaining real-time services
• Excellent English communication skills
• Passion for helping others grow and succeed as developers
• Data-driven mindset with a passion for experimenting and using customer feedback to drive decision-making
• Strong strategic planning and prioritization skills
• Continuous learning and tracking of recent advancements in the field of AI and ML

Responsibilities

• Build and deploy robust ML systems for personalized shopping experiences with the AI Shopping Assistant
• Design and deliver products utilizing novel GenAI-based approaches, such as RAG and LLM Agents, to satisfy customer needs and drive revenue growth in an efficient manner
• Develop approaches for the evaluation and optimization of LLM-based pipelines to ensure a solid foundation for improving business KPIs by validating hypotheses
• Optimize open-source LLMs to achieve high-quality performance in a narrow domain, enabling the use of these models without relying on large proprietary ones
• Participate in strategic planning, brainstorming & prioritization sessions to improve the product
• Collaborate with technical and non-technical business partners to develop analytical dashboards that describe the impact of the product to stakeholders

Preferred Qualifications

• Experience optimizing and deploying open-source LLMs for domain-specific applications
• Proficient in server-side coding for web services and understanding API design principles
• Experience with both NoSQL and relational databases, distributed systems, and caching solutions
• Hands-on experience with Docker for services provisioning
• Experience with observability tools such as Prometheus and Grafana, and integrating alert systems like PagerDuty

Benefits

• Compensation: base range of 90-110k USD + stock options + work from home bonus
• Fully remote team - choose where you live
• Work from home stipend! We want you to have the resources you need to set up your home office
• 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
• Come along on our company retreat to the Canary Islands if you join before August 1!