Специализация
Data Science / Machine Learning
Английский
B2 — Upper-IntermediateB2 — Upper-Intermediate
Constructor is the only search and product discovery platform tailor-made for enterprise e-commerce, where conversions matter. Constructor's AI-first solutions make it easier for shoppers to discover products they want to buy and for e-commerce teams to deliver highly personalized experiences that drive impressive results. Optimizing specifically for e-commerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in e-commerce, such as Sephora, Petco, home24, Maxeda Brands, Birkenstock and The Very Group. 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.
Stack
PythonasyncioLangChainPySparkSQL
Challenges you will tackle
- 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 efficiently.
- 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 on 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 service provisioning.
- Experience with observability tools such as Prometheus and Grafana and integrating alert systems like PagerDuty.
Benefits
- Unlimited vacation time — we strongly encourage all of our employees to take at least 3 weeks per year.
- A competitive compensation package, including stock options.
- Company sponsored US health coverage (100% paid for employee).
- 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.
Diversity, Equity, and Inclusion at Constructor.
At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation with any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.
