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Backend Engineer - Ranking Team

buscojobs España

Asturias

Presencial

USD 90.000 - 110.000

Jornada completa

Hace 30+ días

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Descripción de la vacante

A leading company in the tech industry seeks a Machine Learning Engineer to join their fully remote team. You will be responsible for designing and maintaining high-load web services, optimizing performance, and collaborating with cross-functional teams. The role offers a competitive salary range of $90,000 to $110,000, stock options, and a work-from-home stipend.

Servicios

Work from home stipend
Apple laptops provided
Training and development budget
Parental leave for qualified employees

Formación

  • Proficiency in Infrastructure as Code tools like CloudFormation or Terraform.
  • Hands-on experience with CI/CD pipelines.
  • Experience with NoSQL and relational databases.

Responsabilidades

  • Design and maintain high-load real-time web services.
  • Collaborate with business partners to develop ranking functionalities.
  • Optimize ranking service performance.

Conocimientos

Infrastructure as Code (IaC)
MLOps
CI / CD pipelines
Python
API design principles
Observability tools
NoSQL databases
Distributed systems
Public cloud services
Collaboration in cross-functional teams

Descripción del empleo

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The Ranking team, within the Machine Learning chapter, plays a central role in implementing algorithms that optimize for business KPIs like revenue & conversions. We focus on metrics over features, arming our ranking algorithms with powerful capabilities that bring value to customers in the way they care the most about.

As a member of the Ranking team, you will be surrounded by and encouraged to use world-class analytical, engineering and machine-learning techniques on big data to shape the evolution and scale of our ranking algorithms. The team owns all stages of products ranking for Search, Browse, and Autocomplete experiences, including base ranking, second-stage ranking, and ranking explanation.

One of the main services the Ranking team owns is the ML Ranking Service which is a high-load distributed REST service deployed in the cloud and developed in Python programming language. The service extensively uses in-memory and NoSQL DBs (for signals and model metadata storage). We support service deployment and stability. We have monitoring set up with Prometheus, PagerDuty, Sentry, and custom internal APIs with FastAPI).

Challenges you will tackle

A primary focus of this job is to design, deliver & maintain highload real-time web services in close collaboration with other great engineers from the Ranking team. The job can consist of, but is not limited to :

  • Build, deploy, and support robust high-load machine learning-based real-time systems for search and browse experiences.
  • Collaborate with technical and non-technical business partners to develop and update ranking functionalities
  • Optimize current ranking service performance to process requests faster
  • Optimize signals delivery and retrieval (aka Feature Store) for machine learning model inference
  • Communicate with stakeholders within and outside the team

Requirements

  • Proficiency in Infrastructure as Code (IaC) tools like CloudFormation or Terraform for managing cloud resources.
  • Experience with MLOps is a huge plus (delivering, loading, and serving ML models and related infrastructure)
  • Hands-on experience with setting up and improving CI / CD pipelines
  • Proficiency with Python and, as a plus, compiled languages like C, Rust, or Go.
  • Experience in server-side coding for web services, and a good understanding of API design principles.
  • Skilled in setting up and managing observability tools like Prometheus, Grafana, and integrating alert systems like PagerDuty.
  • Familiarity with Service-Oriented Architecture, knowledge of communication protocols like Protobuf & familiarity with networking principles
  • Experience with NoSQL and relational databases, distributed systems, and caching solutions.
  • Experience with any of the major public cloud formation : AWS (ideally), Azure, GCP
  • Experience collaborating in cross-functional teams.
  • Enjoy helping others around you grow as developers and be successful
  • Pick up new ideas and technologies quickly, love learning and talking to others about them
  • Love to experiment and use data and customer feedback to drive decision-making

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.

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