Note: The job is a remote job and is open to candidates in USA. Agoda is a global travel platform that connects people to destinations and experiences. They are seeking a Senior/Staff Machine Learning Engineer to lead the development and improvement of scalable ML systems and processes, while working with a diverse team of engineers and product owners.

Responsibilities

• Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes. Build, administer and scale ML processing pipelines
• Be comfortable navigating the following technology stack: Python3, Scala Spark, scripting (Bash/Python), Hadoop, SQL, S3 etc
• Should be able to understand internals of ML models such as LightGBM, Random Forest, CNN, Regression models, etc
• Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality
• Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks
• We believe in end-to-end ownership; this role will involve taking and building systems that enable us to deliver ML models to production at a scale

Skills

• Bachelor's degree in computer science /information systems/engineering/related field
• 6+ years of experience in software engineering with a minimum of 4+ years in ML
• Expert in SQL, Python3, and JVM based programming language – ie, Java or Scala
• Expert in software design/design patterns, functional programming and object-oriented programming
• Analytical problem-solving capabilities & experience
• A strong engineering driven mindset will be required to succeed in this role
• Good understanding of Hadoop ecosystems and Big Data architecture and technologies
• Experience working with Open-source products
• Experience with Scala development
• Working in an agile environment using test driven methodologies
• Systems administration skills in Linux

Benefits

• Hybrid Working Model
• WFH Set Up Allowance
• 30 Days of Remote Working from anywhere globally every year
• Employee discount for accommodation globally
• Global team of 90+ nationalities
• 40+ offices and 25+ countries
• Annual CSR / Volunteer Time off
• Benevity Subscription for employee donations
• Volunteering opportunities globally
• Free Headspace subscription
• Free Odilo & Udemy subscriptions
• Access to Employee Assistance Program (third party for personal and workplace support)
• Enhanced Parental Leave
• Life, TPD & Accident Insurance

Company Overview