Data engineer, Machine Learning engineer

Sarus Technologies is hiring!


Unlock the value of all sensitive data

At Sarus, we believe that the potential of AI for society can only be realized if it does not come at the cost of privacy.
We are developing a machine learning software to help data practitioners leverage even the most sensitive data assets for innovation with mathematically-proven privacy guarantees. We make working or collaborating on remote data as seamless as working on local data.
Sarus implements the latest research in privacy-preserving technology, especially differential privacy, to guarantee that individual reidentification becomes impossible.

By alleviating the constraints of data access, we make innovation faster, safer and more powerful, especially in the fields of healthcare, finance, and sustainable cities.

Sarus was founded in 2019 by three seasoned entrepreneurs with strong engineering and scientific backgrounds. Sarus is backed by top VC firms.

Job Description

The mission

We're looking for a capable candidate with strong technical skills and engineering drive who could design and lead the deployment of ML models into production.

You will be integrated in the software development team, and you'll bring our talented research team's ideas to market.

Your main missions will be:

  • You will design and implement cloud or on-prem solutions, and convert custom ML/NLP solutions from the research team into production
  • You will establish scalable (Spark, Hadoop-like), efficient, automated processes for large scale data analyses, model development, validation and implementation, in various environments (Kubernetes etc).
  • You will develop and package softwares in a modern and rigorous way (CICD, Docker etc.)

With a rich and diverse mission, you'll work under the CTO, in close relationship with our Data Science R&D department.
You will:

  • Write efficient, reusable and documented code to ensure stability and maintainability
  • Follow the whole Product development from design to delivery
  • Define and deploy best practices

What you will find at Sarus

  • A lot of impact on the product
  • Exciting topics, as data privacy is hot and we are implementing and doing research at State of the Art
  • A welcoming culture, looking for excellence and accomplishment but willing to train and onboard everybody
  • A true seed-stage startup experience

Preferred Experience

An engineer or a PhD, you're looking for a startup job.
You love technical challenges with short to medium term goals, while being at the heart of the company strategy.
You're comfortable with Agile, which means some tough questions can be asked and projects can be cancelled fast.

Technical skills:

  • data structure, algorithms
  • Python (other languages are a +)
  • Linux/Unix
  • GIT, CICD basics
  • Back-end best practices (API Design ?)

Professional English is required (French is NOT)

We're also looking for soft skills:

  • Agility : priorities can change fast: you need to be fine with that
  • Ability to understand business needs: do not over engineer your code, but deliver required quality. You need to be open to discussion with the Product and business people

Recruitment Process

Please apply via our career page and put a word on why you want to join (no cover letter needed). We will get back to you shortly. If there is a fit, the process includes:

  • Intro meeting with the CTO where we will present Sarus and the job and you will introduce yourself and the reason why you want to join.
  • Technical interview with the CTO, technical tests, interviews with the rest of the team.

Additional Information

  • Contract Type: Full-Time
  • Location: Paris, France (75008)
  • Education Level: Master's Degree
  • Possible partial remote