ConstructorCO

Machine Learning Engineer : Query Team

Constructor

Salary: 90k-110k USD

Portugal only
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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 builds and maintains systems that are the entry point of C.io's search & autosuggest experiences; providing spelling correction, autocompletion, and other query-processing techniques that capture the user's intent, and steer the rest of our platform toward satisfying it. As a member of this team, you'll research, develop, and evaluate improvements to our services and systems, while guaranteeing their performance and scalability.

As an ML Engineer on the Query Team:

  • Improve business KPIs by implementing ML solutions for query processing
  • Develop and maintain search & autosuggest quality assessment pipelines.
  • Use data to find opportunities for improvements, and propose, prioritize & validate hypotheses.
  • Help to make our system more transparent for our customers

Requirements

  • Excellent knowledge of classical machine learning
  • Familiarity with NLP
  • Extensive Python knowledge
  • Strong analytical skills & data-driven culture
  • Familiarity with big data stack for end-to-end ML product development
  • Nice to haves:
    • Proficiency in deep learning, especially in the field of NLP
    • Experience designing, conducting, and analyzing A/B tests
    • Experience with Rust (or C/C++)
    • Strong knowledge of data structures, algorithms, and their trade-off

Expected skillset

  • Hard skills
    • Must haves
      • 4+ years of experience as an engineer
      • “Classic” ML and DL fundamentals
      • Python
      • Data analytics skills
      • Basic data structures & algorithms
    • Nice to haves
      • NLP, especially modern transformer-based
      • Rust, C/C++, or any other compiled programming language
      • Experience designing, conducting, and analyzing A/B tests
      • Big data stack, preferably spark
      • SQL
  • Soft skills
    • Must haves
      • Autonomous & self-driven
      • Team player, great to work with
      • Data-driven, problem-first & metrics-oriented mindset
      • Good listener and can explain complex ideas in simple words

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!

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.

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About the job

Apply before

Aug 05, 2024

Posted on

Jun 06, 2024

Job type

Full Time

Experience level

Mid-level

Salary

Salary: 90k-110k USD

Location requirements

Hiring timezones

Portugal +/- 0 hours
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