Senior/Staff Machine Learning Engineer - Bidding (Bangkok based, relocation provided)
Agoda · Stuttgart, Baden-Württemberg, Germany
- On site
- Full-time
- $150,000 / year
- Stuttgart, Baden-Württemberg, Germany
Job highlights
- Lead ML system improvements and pipeline scaling.
- Utilize Python, Scala, Spark, Hadoop, and SQL.
- Design, build, and deploy ML systems.
- Collaborate with engineers and product owners.
- End-to-end ownership of ML model delivery.
About the role
About Agoda
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.
Get to Know Our Team
The Engineering department oversees all Agoda’s ML and software related requirements. Our goal is 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. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.
Why Agoda Engineering Team (ML role)?
Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API’s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.
In this Role, you will get to:
- 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.
What You’ll need to Succeed:
- 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.
It’s great if you 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
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
Key skills/competency
- Machine Learning Engineering
- Python
- Scala
- Spark
- SQL
- Hadoop
- Software Design
- Data Engineering
- Big Data
- Problem-solving
Skills & topics
- Machine Learning Engineer
- ML Engineer
- Python
- Scala
- Spark
- SQL
- Hadoop
- Big Data
- Data Engineering
- Software Engineering
How to get hired
- Tailor your resume: Highlight your ML expertise, SQL, Python, and JVM language skills, emphasizing 4+ years in ML and 6+ years in software engineering.
- Showcase your experience: Detail your involvement with Big Data, Hadoop, and system design patterns, aligning with Agoda's needs.
- Prepare for technical rounds: Brush up on ML models (LightGBM, Random Forest, CNN), distributed systems, and stream processing concepts.
- Understand Agoda's culture: Research their commitment to data, technology, and innovation in the travel industry.
- Highlight your impact: Emphasize your analytical problem-solving and engineering-driven mindset in your application and interviews.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the typical career path for a Senior Machine Learning Engineer at Agoda?
- At Agoda, a Senior Machine Learning Engineer can progress to Staff Engineer roles or leadership positions within ML teams. Focus is placed on technical leadership, system design, and mentoring junior engineers. Your growth is supported through challenging projects and continuous learning opportunities.
- What kind of ML models does Agoda use and train Senior Machine Learning Engineers on?
- Agoda utilizes a range of ML models including LightGBM, Random Forest, CNN, and various Regression models. As a Senior Machine Learning Engineer, you'll deepen your understanding and application of these models, while also contributing to the development of new ML solutions for large-scale data.
- How does Agoda support professional development for its ML Engineers?
- Agoda supports professional development through access to extensive learning resources like Udemy and Odilo subscriptions, opportunities to work on complex, large-scale data challenges, and a culture that encourages continuous learning and experimentation. You'll also benefit from a global team and diverse projects.
- What is the expected experience level for the Senior/Staff Machine Learning Engineer role at Agoda?
- This role requires a Bachelor's degree in a related field, 6+ years of software engineering experience, with a minimum of 4+ years specifically in Machine Learning Engineering. Expertise in SQL, Python3, and a JVM language like Scala is essential.
- Can you explain the 'end-to-end ownership' aspect of the Senior Machine Learning Engineer role at Agoda?
- End-to-end ownership means you will be involved in the entire lifecycle of ML models, from design and development through to deployment and maintenance in production. This includes building systems that enable scalable delivery of ML models, ensuring their performance and reliability.
- What are the benefits of working as a Senior Machine Learning Engineer in Agoda's Bangkok office?
- While based in Bangkok, Agoda offers relocation assistance. Benefits include a hybrid work model, WFH setup allowance, 30 days remote work from anywhere annually, significant employee discounts on accommodations globally, and a diverse, international work environment.
- How does Agoda leverage data and technology in its ML engineering practices?
- Data and technology are central to Agoda's culture. The ML Engineering team works with massive datasets (tens of PB scale), focusing on distributed systems, stream processing, and building ML-driven solutions to enhance user experience and business decisions.
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