Hey, it's time for you to join us showing the world we are the company that is changing paradigms, where we revolutionize the hours, minutes and seconds!
Do you want to know why Rappi?
⭐️ WE SEE OPPORTUNITIES where others see problems
⭐️ WE SEE CLOSE where others see distance
⭐️ WE SEE ADRENALINE where others see pressure.
Join a team where we are all capable of EVERYTHING, where we all have the same opportunities, regardless of gender identity, race, religion, nationality, age, disability, training or experience.
Did you like what you have read so far? Find out how you will deliver magic together with us through your Rappi mission 🧡
Check out how it will impact our ecosystem:
We are seeking a highly skilled and experienced Machine Learning Engineer to join our Merchants and Makers Data Science Models Team. In this critical role, you will be responsible for building and optimizing models that directly impact merchant profitability and Ads performance, such as the Profit Model and Smart Bidding systems. As a key player in the Merchants & Makers Science organization, you will have the opportunity to make a significant impact on our business performance and growth. If you are passionate about delivering world-class ML systems and contributing to a cutting-edge tech startup, then we want to hear from youAs part of Rappi, you will be responsible for:
Design, implement, and deploy core machine learning models such as the Profit Model (for optimal promo configuration) and Smart Bidding (for Ads optimization).
Collaborate with a cross-functional team of engineers, data scientists, and product managers to develop, test, and deploy machine learning models for merchant-facing platforms.
Perform feature engineering and selection to improve the overall effectiveness of our merchant data science models.
Work closely with the data infrastructure team to ensure seamless integration of machine learning models with our existing systems and data pipelines.
Continuously monitor and analyze merchant model performance (e.g., ROAS, profit uplift), identifying opportunities for improvement and implementing necessary changes.
Leverage and evaluate AI tools, such as Claude code, to accelerate model development and improve code quality and efficiency.
Mentor junior team members and contribute to the growth of the team's overall expertise in machine learning and merchant science.
Good and now, what are the requirements for me to be part of this neon universe?
BSc or MSc in Computer Science, Engineering, or a related field with a focus on machine learning; - PhD is a plus.
4+ years of experience in machine learning engineering/data scientist, preferably in Merchants Ads optimization (e.g., Smart Bidding, ROAS optimization) or Pricing/Promotions models (e.g., Profit Model) with demonstrable customer and business results.
Strong proficiency in Python, with experience in ML libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
Familiarity with data processing and ETL tools such as Airflow, Snowflake, Postgres, Kafka, and Redis.
Proven experience with large-scale, complex systems and the ability to adapt to a fast-paced, rapidly evolving environment.
Excellent problem-solving and analytical skills, with a passion for optimizing algorithms and models for high performance.
Strong communication and collaboration skills, with the ability to work effectively within a diverse, cross-functional team.
Fluency in Spanish (written and spoken) is required; proficiency in English is strongly preferred.
Preference will be given to candidates in Latin America. Globally-located candidates are possible in the right circumstances.
Worker type:
RegularCompany:
Rappi Technology ArgentinaFor more information check our website https://about.rappi.com/es and check our reviews on Glassdoor https://acortar.link/Eqm07Q
we are waiting for you to build and deliver the magic together! #Rappi 🧡