Machine Learning Engineer : Query Team
Lisbon, Lisbon, Portugal - Remote
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.
The Query Team sits at the forefront of shaping the search and autosuggest experience for our customers. We develop & optimize advanced query-processing techniques like autocompletion, spelling correction, and natural language processing, which aim to capture user intent and drive conversions. Our systems handle immense traffic, meaning your work will directly impact millions of users. If you’re passionate about applying ML in real-world scenarios while being hands-on with backend development, this is the opportunity for you!
As an ML Engineer with the Query Team, you’ll work on high-traffic, critical systems: you’ll research and develop cutting-edge ML models, but you’ll also own the end-to-end delivery, ensuring the performance, scalability, and reliability of the systems you build. The expectations for this role are to:
- improve business KPIs by implementing ML solutions for query processing
- own the full development lifecycle: design solutions, develop and iterate on them, and deliver them to production, while ensuring our systems remain stable, performant and scalable.
- draw and validate hypotheses from users’ data and behavioral patterns.
- develop and maintain search & autosuggest quality assessment pipelines
Requirements
- have experience working on services with high traffic and high availability
- are familiar with various NLP & Machine Learning techniques
- possess strong analytical skills and strive to make data-driven decisions
- are familiar with big data stacks for end-to-end ML product development
- have a solid foundation on algorithms, data structures & their trade-offs
- enjoy learning new things & jumping between different technology stacks
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
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 in 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.
ApplyJob Profile
RestrictionsFully remote
Benefits/PerksApple laptops Fully remote Parental leave Remote-first company Stock options Training and development budget Work from home bonus Work from home stipend
Tasks- Develop and iterate on solutions
- Ensure system performance and scalability
- Implement ML solutions
AI Algorithms Analytical Backend Development Big Data Data Structures Machine Learning Natural Language Processing Product Development
Experience3 years
Timezones