Stage Data Engineer hf

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Description de poste

ACV's mission is to build and enable the most trusted and efficient digital marketplaces for buying and selling used vehicles with transparency and comprehensive data that was previously unimaginable. We are powered by a combination of the world's best people and the industry's best technology. At ACV, we are driven by an entrepreneurial spirit and rewarded with a work environment that enables each teammate to impact the company from day one. ACV's network of brands includes ACV Auctions, ACV Transportation, MAX Digital and ACV Capital within its Marketplace Products as well as True360 and Data Services.

Monk provides visual expertise through Computer Vision and Deep Learning algorithms. Today, our AI model is able to detect and classify damage on any type of vehicle, from photos taken on a smartphone. We are building a world-class damage detection and computer vision service. We are looking for people with a data-centric approach to help us build the future of vehicle damage detection.

About Monk :

Monk provides visual expertise through Computer Vision and Deep Learning algorithms. Today, our AI model is able to detect and classify damages on any vehicle, with photos taken from a smartphone. The company is already working with international leading players, such as our parent company ACV Auctions (USA), but also CAT logistics (Europe), Getaround (France), Autobiz (Europe) or Hgreg (Canada). We are building a world-class API-based damage detection system.

We are looking for a great engineer with a data-centric approach to help us build a high-performance Data Engineering infrastructure to support the efforts of our ML team. Come and join us to build the future of vehicle damage detection.

Missions :

• Design and build scalable applications for Monk ML Engineers to facilitate common tasks.
• Run and evaluate models.
• Train models.
• Retrieve and store data.
• Annotate and generate data.
• Review and improve data.
• Champion a data-centric approach to leverage all the unstructured and structured data of Monk.
• Define ML ops best practices to help the data infrastructure of Monk.ai scale.
• Integrate and arbitrate between multiple stakeholders and constraints.

Skills :

• Extensive backend engineering and software engineering experience.
• Comfortable with SQL and NoSQL databases.
• Engineering skills related to data-intensive applications.
• A mindset for data-oriented decision-making.
• An understanding of Deep Learning Models.

Contract :

• Type of contract : CDI
• Location : Paris, France

Benefits :

At Monk, we're committed to building an equitable and inclusive global economy. That's why we offer benefits to help you thrive in every stage of life.

• Hybrid work environment.
• Restaurant tickets with Swile and sport via Gymlib.
• Fair and competitive compensation.
• Health Insurance with Alan.
• The premises are at Agoranov and Platform 58.
• The team is ambitious.

Interview process :

• Fit interview (30min).
• Technical Interview 1 (1h).
• Technical Interview 2 (1h30).
• C-level interview (30 min).

Our Company Stack :

• Databases : SQL Postgres with sqlalchemy.
• ML : Python, Torch, ClearML, Ray.
• Infrastructure : GCP, Kubernetes, CircleCI.
• Backend : Python, Flask, Rabbitmq, OpenAPI.
• Frontend : JS, TS, React.

We want you to bring your whole human self to work every day. We accept you for who you are and consider everybody on an equal opportunity basis.

If you have a disability or special need that requires reasonable accommodation, please let us know.

Other details

• Job Family Product & Technology
• Job Function Software Engineering
• Pay Type Salary

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