Machine Learning Engineer : AI Shopping Assistant (Remote)
Overview
Constructor's AI-first solutions make it easier for shoppers to discover products they want to buy and for ecommerce teams to deliver highly personalized experiences that drive impressive results. Constructor generates consistent $10M+ lifts for some of the biggest brands in ecommerce, such as Sephora, Petco, home24, Maxeda Brands, Birkenstock and The Very Group.
Job Description
Constructor is the only search and product discovery platform tailor-made for enterprise ecommerce where conversions matter. Constructor is a U.S. based company that was founded in 2015 by Eli Finkelshteyn and Dan McCormick. For more, visit: constructor.io
Our new AI Shopping Assistant product utilizes novel approaches in the field, such as Retrieval Augmented Generation (RAG) and LLM Agents, to create an innovative shopping experience. The environment is super fast-paced and rapidly evolving. The team consists of a mix of designers, full-stack engineers, and machine learning engineers who own and collaborate on multiple projects. As a member of this team, you will play a crucial role in defining our product strategy and prioritization. You will use world-class analytical, engineering, and machine learning techniques to evolve and scale our AI Shopping Assistant.
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.
Required Skills
- - 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
- - Experience optimizing and deploying open-source LLMs for domain-specific applications is a plus
- - 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
- - 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
About the company
Constructor’s AI-powered search and product discovery platform delivers unmatched KPI optimization and fast ROI for enterprise ecommerce brands — while giving customers a personalized, enjoyable shopping experience.