About us

Beat is one of the most exciting companies to ever come out of the ride-hailing space. One city at a time, all across the globe we make transportation affordable, convenient, and safe for everyone. We also help hundreds of thousands of people earn extra income as drivers. 

Today we are the fastest-growing ride-hailing service in Latin America. But serving millions of rides every day pales in comparison to what lies ahead. Our plans for expansion are limitless. Our stellar engineering team operates across a number of European capitals where, right now, some of the world’s most ambitious and talented engineers are changing how cities will move in the future.

Beat is currently available in Greece, Peru, Chile, Colombia, Mexico and Argentina. 

About the role

We’re looking for a Senior Machine Learning Engineer to join the Machine Learning team within the Matching Domain.

The domain has all necessary crafts to allow us to achieve our goals autonomously and consists of a Product team (Product Managers, Data Analysts and Designers) and Engineering (Backend, Frontend, Data and ML). The domain has the following areas of responsibility:

• Dispatch, orchestrating the whole matching workflow between passenger and drivers
• Matching, trying to find the optimal driver for a passenger
• Mapping, providing map-related services to all domains in the company

Our teams work in a virtual office setup, with overlapping hours and a mixture of sync and async communication methods. You’ll be reporting to the ML team’s Engineering Manager.

Our remote workforce works East Europe Timezone hours (10am - 6pm) and therefore we will need you to be located within UTC to UTC+3 to reasonably overlap with your team members' work schedule. With the various tools and communication technologies we're using, you'll feel connected to your team. You always have the option to travel to our headquarters for meetings, events, and team bonding—or you can join virtually. Whatever works best for you and your work style.

What’s the day to day

The ML team is working across all projects within Matching Domain. We are responsible for intelligently matching drivers to users' ride requests using driver and passenger behaviour modelling. We also estimate the total duration of rides using ML models and we apply data-driven insights and heuristics to optimally configure the Matching’s flow parameters. We are concerned with the whole lifecycle of the development of a ML/DS product as our work starts with formalizing the business requirements and follows all appropriate steps until a well performing, ML-powered solution gets into BEAT’s production flow.

Our marketplace team work on matching drivers with passengers, focusing on the best optimisation of this, so the main challenge is the balance of dynamic pricing to keep the drivers earnings optimised and the passengers fair lower. 

If you can help us solve these challenges, we want to hear from you! 

What you will do 

• Work within a cross-functional team, highly skilled in data science, machine learning, software engineering and data engineering.
• Understand product requirements and formulate suitable ML-based POCs to satisfy them.
• Convert successful POCs to fully-fledged ML-based product features and put them in BEAT’s production flow in collaboration with Matching’s domain’s backend teams.  
• Evaluate ML features/models both offline and online through AB tests and online performance monitoring.
• Maintain and improve the performance of existing solutions. 
• Take full ownership of your work, being able to lead and mentor junior to mid level teammates.
• Be part of BEAT’s ML Chapter, a community of ML engineers across the company, formed with the purpose of knowledge sharing across different teams.

What you need to bring 

• Master's degree in Computer Science or in a related STEM field. Higher degrees are highly appreciated.
• Solid understanding of methods, concepts, models, evaluation schemes across the whole DS/ML landscape, eg. supervised learning, unsupervised learning, data mining etc.
• Solid coding experience in Python.
• Solid experience in working the full software development lifecycle using the industry’s best practices. 
• Knowledge of SQL and relational databases. 

What is useful to have:

• Hands-on experience with MLOPs frameworks such as Kubeflow, MLFlow, (Azure ML Studio) or Amazon Sagemaker.
• Hands-on experience with Apache Spark.
• Hands-on experience with Docker and Kubernetes.

 What's in it for you:

• Competitive salary and annual bonus plan
• Annual training budget for personal development
• Access to LinkedIn Learning courses
• BEAT Enrichment days to focus on your development
• An extra day off during your birthday month
• A great opportunity to grow and work with the most amazing people in the industry and to be part of an environment that offer challenging goals and autonomy

As part of our dedication to the diversity of our workforce, Beat is committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.