Software Engineer, Machine Learning (MLE)

Indonesia - Jakarta, Green Office Park 1

Traveloka

Explore the world & live life your way. Best prices for hotels, flights, & attractions. Plan your own perfect trip.

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It's fun to work in a company where people truly BELIEVE in what they're doing!

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Job Description

Our machine learning team is responsible for solving complex problems and optimizing various aspects of Traveloka’s business. You will get a wide range of exciting opportunities to bring impact by helping to make decisions at scale across various domains. Join us in revolutionizing the travel industry through data!

Key Responsibilities:

  • Work with Data Scientists/Data Engineers/Software Engineers in building robust ML solutions at scale.

  • Design, build, and maintain high performing systems built on top of our inhouse machine learning platforms and tools.

  • Oversee and manage multiple ML system projects across domains (Recommendation, LLMs, Optimization, to name some), ensuring they meet the business objectives and are delivered on time.

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Requirements

Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field. Master's degree or higher preferred.

  • Minimum of 3 years experience in Machine learning engineering or a related role.

  • Experience with Cloud-based tech stack and Docker/Kubernetes deployment. GCP will be preferred.

  • Excellent ability to translate business requirements into technical specifications.

  • Strong expertise in Python and experience with deploying ML/Stats libraries (scikit-learn, LGBM, XGBoost to name a few).

  • Proven experience in deploying and maintaining multiple Machine Learning systems.

  • Exceptional interpersonal and communication skills

  • Proactive, self-motivated, and able to work independently.

Good to Have

  • Experience in deploying deep learning frameworks like PyTorch or TensorFlow.

  • Experience with ML Lifecycle tools (eg. mlflow).

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If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Computer Science Deep Learning Docker Engineering GCP Kubernetes LLMs Machine Learning MLFlow Python PyTorch Scikit-learn Statistics TensorFlow XGBoost

Perks/benefits: Career development Startup environment

Region: Asia/Pacific
Country: Indonesia

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