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Senior Machine Learning Engineer: Ranking (Remote)

7 hours, 35 minutes ago
Anywhere
Full-time
Senior
Machine Learning Engineer
Software Development
Apache Airflow Apache Spark Databricks Luigi Machine Learning Pandas Python REST API SQL
Apply Now
Constructor

Constructor

The only site search and product discovery built for ecommerce KPIs. Delivering superior experiences with AI, NLP, data and personalization.

Internet Software & Services
View All Jobs 19

Description

  • Design, build, deploy, and optimize machine learning-based ranking solutions for search, browse, and autocomplete experiences.
  • Improve ranking quality by analyzing performance and identifying gaps in relevance, personalization, attractiveness, and diversification.
  • Develop and enhance ranking algorithms and models to support evolving business needs and improve user experience.
  • Ensure ranking solutions can run in real time with high throughput and low latency.
  • Work on a cloud-based distributed ranking service that handles large volumes of requests.
  • Contribute to offline data pipelines for data processing, model training, and signal delivery.
  • Support ranking configuration for individual customers.
  • Build and maintain ranking quality monitoring tools and metrics.
  • Collaborate with technical and non-technical stakeholders on ranking functionality and updates.

Requirements

  • At least 4 years of experience with Python for machine learning and backend development.
  • At least 4 years of experience developing, deploying, and maintaining machine learning models, preferably for ranking systems.
  • Experience with large-scale ML model training, evaluation, and optimization for real-time inference and serving.
  • Experience with big data frameworks such as Spark for processing large datasets.
  • Proficiency with SQL, PySpark, Pandas, and related data analysis tools.
  • Experience with data pipeline orchestration tools such as Airflow or Luigi.
  • Experience working on ranking algorithms that optimize relevance, conversion rates, personalization, user engagement, or RPV is a plus.
  • Experience collaborating in cross-functional teams.
  • Strong English communication skills.
  • Ability to lead projects, learn new technologies quickly, and use data and customer feedback to drive decisions.

Benefits

  • Unlimited vacation time, with a strong encouragement to take at least 3 weeks per year.
  • Fully remote team with flexibility to choose where you live.
  • Work-from-home stipend to support your home office setup.
  • Apple laptop provided for new employees.
  • Annual training and development budget.
  • Maternity and paternity leave for qualified employees.
  • Base salary of $80k–$120k USD, depending on experience and interview results.
  • Stock options in addition to base salary.
  • Regular team offsites to connect and collaborate.

Interested in this position?

Apply directly on the company website

Apply Now

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