Senior/Staff Machine Learning Engineer - Bidding (Bangkok based, relocation provided)

About the role

The Engineering team at Agoda oversees all ML and software-related requirements to enable and increase Agoda's business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML-driven solutions, queue systems, and data monitoring tools. Business users, product managers, and others rely on the team to empower their decision-making.

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.
• Understand the 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.
• 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.

Requirements

• 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 languages - ie, Java or Scala
• Expert in software design/design patterns, functional programming, and object-oriented programming
• Analytical problem-solving capabilities & experience

Qualifications

• 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

Skills

• Experience with distributed systems, stream processing, ML modeling, and computation at tens of PB scale
• Knowledge of software engineering related to data replication, storage, centralized computation, and Data APIs
• Ability to provide users with ML products/tools, shared frameworks, and ML services

Benefits

• Hybrid Working Model
• WFH Setup 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