Machine Learning Engineer : Recommendations (Remote)

June 6

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Ecommerce product search and discovery that increases revenue, conversions, and profit.

Search • E-commerce • Product Discovery • Personalization • SaaS

51 - 200

💰 $55M Series A on 2021-09

Description

• 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

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 Also nice to have: • 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!