Agoda is looking for a Senior/Staff Machine Learning Engineer to lead technical advancements in the scalability, stability, accuracy, speed, and efficiency of our ML systems. In this role, you'll work with large-scale data, build and deploy ML models, and collaborate with experienced engineers and product owners to drive innovation in bidding technology.
What You'll Do
- 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.
- Take and build systems that enable us to deliver ML models to production at a scale.
What We're Looking For
- 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.
Nice to Have
- Good understanding of Hadoop ecosystems and Big Data architecture and techologies
- Experience working with Open-source products
- Experience with Scala development
- Working in an agile environment using test driven methodologies
- Systems administration skills in Linux
Technical Stack
- Python3
- Scala Spark
- Bash
- Hadoop
- SQL
- S3
- Java
- LightGBM
- Random Forest
- CNN
- Regression models
Team & Environment
- Small but passionate team
- ML engineering squad working across structured and non-structured data at scale
Benefits & Compensation
- 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
Work Mode
- Hybrid work model with base in Bangkok
- 30 Days of Remote Working from anywhere globally every year
- Relocation provided
At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
