Algolia recrute un(e)
EMEA: Senior Machine Learning Engineer - Recommend Platform
CDI • Paris, France
Cette offre est lié au département Recommend
Algolia is set to enable every company to create world-class Search and Discovery experiences with an API-first approach(e)Performance and Scalability is at the heart of our mission: we power 1.5 trillion searches a year, for 10K+ customers all over the world(e)We see Developer Experience as a key element of our offering: we maintain high-quality SDKs for dozens of languages and platforms(e)We value Grit, Trust, Candor, Care and Humility(e)
If you're a problem solver, able to think outside the box and eager to nurture others and learn from them, then this is your challenge!
The Team:
Our mission is to empower companies to push the right content to increase their users' chances to stumble upon what they'd be interested in and increase the discoverability of their inventory(e)To this end, our objectives are to:
- Build a fast and robust recommendation API
- Rely on the best AI technology to deliver relevant recommendations
- Provide a seamless experience for customers to setup their recommender engine
Team members have different skill sets, covering the full stack of our recommendation offering, from the machine learning models to the Recommend API to the front-end Dashboard of our customers(e)Your experience, your knowledge and your perspective will add value to this diversity, and help the team deliver products that make a difference.
The opportunity:
We are looking for a Senior ML Engineer to grow our Recommend team(e)As a senior engineer, we expect you to bring significant experience acquired from a similar role in a former job(e)Not only will you lead projects in complete autonomy, you will also be accountable for planning ahead, and thinking in terms of what's best globally for the company rather than locally for your projects(e)This also means you are expected to ramp up on multiple projects, and orchestrate changes across projects and teams whenever necessary.
Responsibilities:
- You will study and transform data science prototypes, research and implement appropriate ML algorithms and tools, develop machine learning applications according to requirements
- You will build end-to-end machine learning solutions to bring models from proof-of-concept stage to production.
- You will work closely with engineers, product managers, other teams, and both internal and external stakeholders, owning a large part of the process from problem understanding to recommending a solution and testing it in controlled experiments.
- You will be an active member of an internal community, including data scientists, research scientists and machine learning engineers, sharing learnings, best practices and research across many domains.
Requirements:
- +5 years proven experience as a Machine Learning Engineer or similar role
- Strong engineering skills and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools
- Previously built, trained and shipped large-scale models on cloud services (Docker, AWS/GCP/Azure)
- An ability to identify and prioritize high-impact problems and deliver solutions that provide reasonable trade-offs between urgency and quality
- Self-motivation and a strong sense of ownership
- Excellent spoken and written English skills
- Ability to work in a team, being a team-player
- Willing and able to speak at tech and industry conferences
- Experience at our current stage and beyond ($50-200M ARR range, high growth, lots of change and building internal infrastructure).
REMOTE STRATEGY:
Algolia’s workplace strategy, Hybrid Remote, is designed to harness the power of the opportunities that remote work offers both employees and the company, while also providing an engaging in-office experience for the times when an employee is in an office(e)Our workplace approach reflects the belief that an employee’s impact, contribution, and output are more important than their physical location.
The majority of employees will be able to choose if, and when, they come into an office on a regular basis(e)There will be times when our people are asked to come into an office for “moments that matter:” activities like critical planning meetings and team social gatherings. Beyond those events, 80% of our workforce may choose the location from where they work in the country in which they were hired.
We have physical offices in San Francisco, NYC, Atlanta, Paris, London, Austin, and Bucharest(e)https://www.algolia.com/about/
ABOUT US:
Algolia prides itself on being a pioneer and market leader offering an AI-powered, API-First Search & Discovery platform that empowers 12,000+ businesses to compose customer experiences at internet scale that predict what their users want with blazing fast search and web browse experience(e)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(e)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.
The team is headquartered in San Francisco with offices in Paris, London, New York, Austin, Atlanta, and Bucharest(e)To learn more, visit www.algolia.com.
WHO WE'RE LOOKING FOR:
We’re looking for talented, passionate people to build the world’s best search & discovery technology(e)As an ownership-driven company, we seek team members who thrive within an environment based on autonomy and diversity(e)We're committed to building an inclusive and diverse workplace(e)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!