Machine Learning Engineer

Job summary
Permanent contract
Paris
Salary: Not specified
No remote work
Skills & expertise
Generated content
Machine learning
Python
Algolia
Sql
Golang
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Algolia
Algolia

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Questions and answers about the job

The position

Job description

About Algolia

At Algolia, we empower thousands of customers in over 100 countries with an intuitive, real-time search experience—handling billions of queries every month. Our mission is to continually innovate and optimize the search journey for users worldwide.

Join Our Optimization Team

We’re on a mission to measure and enhance the impact of our AI-driven features. Our Optimization team is responsible for delivering robust analytics and A/B testing tools that help customers and internal stakeholders maximize the performance of their search configurations.

What You’ll Do

  • Collaborate in the design, development, and deployment of systems that integrate machine learning concepts to measure, benchmark, and optimize our features. In this role, you'll not only leverage traditional ML methodologies but also take a leading role in developing robust software interactions with our models – emphasizing standard software development practices alongside model evaluation and performance optimization.
  • Champion high standards in code quality and system reliability through automated testing and best practices.
  • Work closely with cross-functional teams to identify opportunities for improvement in processes.

What We’re Looking For

Essential:

  • Experience in Python.
  • Experience working with ML models, with an emphasis on evaluating model performance.
  • Ability to work with SQL and use data to drive decision-making.
  • Commitment to high-quality code, automated testing, and engineering best practices.
  • Interest in complex, distributed backend systems and large-scale codebases.
  • Professional spoken and written English, essential for our remote-first environment.

Bonus Points:

  • Experience in Golang.
  • Experience with Google Cloud.
  • Familiarity with statistical concepts.

Our Culture

We’re a fully remote, diverse team where every perspective matters. We foster an inclusive environment that encourages innovation, collaboration, and continuous learning.

#LI-Hybrid

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