Senior Machine Learning Engineer

🚀 Founded in 2021, Echo's narrative is one of relentless growth, ambition, and promise. A cutting-edge startup at the forefront of Geospatial Data and Gen AI technologies, we have skyrocketed from 0 to 80+ employees in just three years!

Specialists in the location intelligence industry, we empower innovation by helping companies better understand the world around them.

In a world inundated with data, quality is crucial. We use data science, machine learning, and human feedback to build Europe's most comprehensive, high-quality datasets, enriched with differentiating attributes that outmaneuver the competition.

We aren’t just about reliable data (read: unmatched quality) though.

Life at Echo is about individual growth, collective ambition, and a culture that values and celebrates diversity; With a people first philosophy guiding everything we do.

You'll be at the heart of innovation, tackling projects that shape our future, with the best people possible!

Your Role at Echo

As Senior Machine Learning Engineer, you will be joining the R&D Team of over 20 Data Enthusiasts. 

You'll play a key role in shaping one of our core products—Places, which contextualizes millions of worldwide locations into digital representations. 

You will work with the team to build detailed Points-of-Interest data with enriched information such as brand, category, address, opening hours, and more.

Your focus will be on leveraging machine learning to drive data modeling and designing intelligent data flows, from conception through implementation. You'll drive innovation at the intersection of data science and engineering, developing new product features and pioneering cutting-edge ML solutions.

Besides, you'll also thrive in an environment equipped with the latest technologies, including BigQuery for data warehousing, Dataflow for data streaming, Airflow for orchestration and scheduling, and Terraform for modern deployment on Google Cloud Platform (GCP).

This is a rare opportunity to be part of a fast-growing start-up at the forefront of its industry, offering the chance to contribute to our success story from the ground up.

As such, your main responsibilities will be:

• Design and Implement ML models and data flows (NLP, Image recognition…)
• Develop new features in collaboration with data engineers and data scientists
• Write complex and efficient SQL queries to transform raw data points from our data lake into reliable business use cases.
• Implement data transformation workflows and schedule them through Airflow.
• Design BigQuery table data models to efficiently answer business use cases considering costs and performances.
• Be a technical guide to various business entities and data marts. Train data users on SQL and analytics best practices.
• Investigate, test, implement new tools, processes and technologies on an ongoing basis.
• Continue learning new skills thanks to the Echo Analytics knowledge plan
• Resolve complex problems coming from the data

What we’re looking for:

• Fluency in English (French is a plus)
• At least 4 years of experience in Big Data and data warehousing in tier-1 software companies
• Strong experience developing and debugging software in Python
• Good organizational leadership skills
• Comfortable working with the Google Cloud Platform stack
• Experience with Dataflow, Data Processor, Airflow, Kafka, Pub/Sub, Spark, or other streaming technologies is a plus
• Advanced proficiency in SQL
• Strong knowledge of Data science: ML/NLP, image recognition
• Strong experience in Agile Methods (Lean is a plus)
• Working knowledge in DevOps: GitHub CI/CD, Terraform

Why us?

• 🌎 A great diverse and international team based in Paris (30+ nationalities!)
• 🚀 Impact and ownership mindset: at Echo we encourage everyone to take ownership of their projects
• 🎇 People first company: without our people we have no business, we have dedicated a People Manifesto to them
• 🌆 A contemporary office space in central Paris with a rooftop to admire the view
• 💻 Hybrid remote policy
• 🥘 Free coffee, snacks on top of your lunch voucher card (Swile, 10€/ working day)
• 🏥 Healthcare insurance

Feeling like you don’t check all the boxes ? We encourage you to apply anyway ! 

Best case scenario : we start an incredible collaboration, worst case, you only invest a few minutes towards your application. You won’t regret it !

We are committed to providing equal employment opportunities regardless of gender, sexual orientation, origin, disabilities, or any other traits that make you who you are.