Reinforcement Learning Engineer

Since 2014, Wiremind has positioned itself as a
technical company
transforming the world of transport and events with a 360° approach combining
UX, software, and AI
.

Our expertise lies primarily in
optimizing and marketing
our clients' capacity. We work on various projects such as
ticket forecasting and pricing
,
3D optimization of air freight or scraping competitor prices
. Our applications are the preferred tool
of companies
such as SNCF, United Airlines, Qatar Airways or even PSG to visualize, analyze and optimize their capacity.

Dynamic and ambitious, we strive to maintain our technical DNA which is the engine of our success. The company, profitable and self-financed since its creation 10 years ago, is mainly composed
of engineers and experts
and currently supports the growth of our
business model
based on "software-as-a-service" solutions.

Your missions

Responsibilities
At Wiremind, the
Data Science team
is responsible for the development, monitoring and evolution of all ML-powered forecasting and optimization algorithms in use in our Revenue Management systems. Our algorithms are divided in 2 parts:

• A modelling of the demand using ML models (e.g. deep learning, boosted trees) trained on historical data in the form of time-series
• Constrained optimizations problems solved using linear programming techniques

The team is shaped to have all profiles necessary to constitute an autonomous department (DevOps, software and data engineering, data science, AIML, operational research) and works on a modern technical stack composed of argo-workflow (pipelines orchestrator), MLFlow (models & experiments tracking) and in-house python packages.

Recently, we have begun exploring new ways of solving our revenue optimization problems using
Reinforcement Learning
techniques instead of linear programming.

As an
Optimization Intern
, you will take a part in this research effort by:

• Exchanging on a daily basis with the data, ML and product teams to perfect your business comprehension
• Proposing new ideas to solve revenue optimization problems
• Implementing, testing and evaluating these ideas in a controlled environment

Technical Stack

• Backend: Python 3.11+
• Orchestration: argo-workflows over an auto-scaled Kubernetes cluster
• Datastores: Druid, ClickHouse, postgresql
• Common ML libraries/tools: pytorch, scikit-learn, pandas, numpy
• Reinforcement Learning: Gymnasium, stable-baselines3
• Model versioning and registry tool: MLFlow
• Gitlab / Kubernetes for CI/CD
• Prometheus/Grafana and Kibana for operations & monitoring

What we're looking for

• You are pursuing a Master's Degree in Engineering, Data Science, Applied Mathematics or a similar field
• You have prior knowledge of usual Machine Learning techniques and good practices
• You are looking for an end-of-study internship
• You are passionate about addressing business challenges through innovative technological solutions
• You are committed to maintaining high-quality standards in all aspects of your work

What would be a plus

• A first experience, internship or school project in Reinforcement Learning
• Knowledge of Reinforcement Learning theory

What we offer for 6 months

By Joining Us, You Will Integrate

• A self-financed startup with a strong technical identity
• Beautiful 800 m² offices in the heart of Paris (Bd Poissonnière)
• Attractive remuneration
• A caring and stimulating team that encourages skills development through initiative and autonomy
• A learning environment with opportunities for evolution

You Will Also Benefit From

• 1 day of remote work per week
• A great company culture (monthly afterworks, regular meetings on technology and products, annual off-site seminars, team-building…)

Our recruitment process

• A Screening HR with Yasmine, the Talent Acquisition Specialist
• A Screening Manager with Soukaina, the OR Engineer
• A Technical Test/Business case to prepare for
• A presentation at our offices in the presence of the manager

Wiremind is committed to
equality of opportunity, diversity, and fairness
. We encourage all
candidates
with the necessary experience to apply for our job offers.

Since 2014, Wiremind has transformed transport and events with a 360° approach, integrating UX, software, and AI.

We excel in optimizing and marketing our clients' capacity, handling projects like ticket forecasting, pricing, 3D air freight optimization, and competitor price scraping. Our tools are trusted by companies like SNCF, United Airlines, Qatar Airways, and PSG for visualizing, analyzing, and optimizing capacity.

Dynamic and ambitious, we maintain our technical DNA, driving our success. Profitable and self-financed since inception, Wiremind consists mostly of engineers and experts, supporting our SaaS-based business model.