Senior Machine Learning Engineer

Sorry, this job was removed at 04:03 p.m. (CST) on Monday, May 19, 2025
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Paris, Île-de-France
In-Office
Natural Language Processing • Software
The Role

Algolia was built to help users deliver an intuitive search-as-you-type experience on their websites and mobile apps. We provide a search API used by thousands of customers in more than 100 countries. Billions of search queries are answered every month thanks to the code we push into production every day.

Join the AI Search Group and help us enhance the core keyword search engine capabilities.

The AI Search Group is committed to enhancing the relevance of search results both before (Understanding) and after (Re-Ranking) a query is made.

We are seeking individuals with a strong sense of ownership and a problem-solving mindset—people who thrive on exploring new ideas and tackling challenges head-on. If you are passionate about uncovering insights and finding innovative solutions to enhance the value our customers receive from Algolia through the application of AI or other creative methods, and if you possess the grit to persevere through obstacles, we would love to hear from you!

Our team consists of engineers (partly remote), and we bring together a variety of skills and backgrounds. Your experience, knowledge, and unique perspective will contribute to this diversity and empower the team to create impactful products.

YOU WILL:
  • Lead end to end projects improving the Understanding or Re-Ranking capabilities of the search engine
  • Influence the technical roadmap, collaborating with product management, engineering management and the team
  • Collaborate with a team that includes a variety of roles ranging from Site Reliability Engineer to Machine Learning specialists with a strong focus on Data Engineering
  • Participate in the rituals of the team that is operating following Agile principles (Kanban + daily rituals + Retrospectives)
YOU MIGHT BE A FIT IF YOU HAVE:
  • Experience in Python
  • Experience in building, training & evaluating ML models
  • Experience leading and productionizing end-to-end Machine Learning projects
  • Sensitivity to data driven decision making, and exploring datasets with SQL
  • Knowledge of good engineering practices (testing, reviews, code design, …)
  • Excellent spoken and written English skills
  • A strong sense of ownership, pragmatism and willingness to make our products better
NICE TO HAVE:
  • Experience with NLP
  • Experience with Golang
  • Experience in building and maintaining API services
  • Experience with a cloud provider (GCP, AWS or Azure, …)

#LI-Remote

FLEXIBLE WORKPLACE STRATEGY:

Algolia’s flexible workplace model is designed to empower all Algolians to fulfill our mission to power search and discovery with ease. We place an emphasis on an individual’s impact, contribution, and output, over their physical location. Algolia is a high-trust environment and many of our team members have the autonomy to choose where they want to work and when.

While we have a global presence with physical offices in Paris, NYC, London, Sydney and Bucharest, we also offer many of our team members the option to work remotely either as fully remote or hybrid-remote employees. Please note that positions listed as "Remote" are only available for remote work within the specified country. Positions listed within a specific city are only available in that location - depending on the nature of the role it may be available with either a hybrid-remote or in-office schedule.

ABOUT US:

Algolia prides itself on being a pioneer and market leader offering an AI Search solution that empowers 17,000+ businesses to compose customer experiences at internet scale that predict what their users want with blazing fast search and web browse experience. Algolia powers more than 30 billion search requests a week – four times more than Microsoft Bing, Yahoo, Baidu, Yandex and DuckDuckGo combined.

Algolia is part of a cadre of innovative new companies that are driving the next generation of software development, creating APIs that make developers’ lives easier; solutions that are better than building from scratch and better than having to tweak monolithic SaaS solutions.

In 2021, the company closed $150 million in series D funding and quadrupled its post-money valuation of $2.25 billion. Being well capitalized enables Algolia to continue to invest in its market leading platform, to better serve its thousands of customers–including Under Armor, Petsmart, Stripe, Gymshark, and Walgreens, to name just a few. 

WHO WE'RE LOOKING FOR:

We’re looking for talented, passionate people to build the world’s best search & discovery technology. As an ownership-driven company, we seek team members who thrive within an environment based on autonomy and diversity. We're committed to building an inclusive and diverse workplace. We care about each other and the world around us, and embrace talented people regardless of their race, age, ancestry, religion, sex, gender identity, sexual orientation, marital status, color, veteran status, disability and socioeconomic background.

READY TO APPLY?
If you share our values and our enthusiasm for building the world’s best search & discovery technology, we’d love to review your application!

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The Company
HQ: Palo Alto, CA
700 Employees
Year Founded: 2012

What We Do

Algolia is the search-as-a-service platform that enables companies of all sizes to deliver fast and relevant digital experiences that drive real results. With Algolia, consumers are able to find and discover what they want easily across web, mobile, and voice. Algolia allows developers and business teams to build and optimize engaging search experiences to increase online engagement, conversion and revenue.

Founded in 2012, we're backed by over $175M in funding from Accel Partners, Alven Capital, Point Nine Capital, Storm Ventures, Salesforce Ventures and others. Our most recent fundraising round was our Series D in 2021 in which we raised $150 million. The team is headquartered in San Francisco with offices in Paris, London, New York City, Bucharest and Sydney. To learn more, visit www.algolia.com.

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