At a Glance
- Tasks: Join our team as an ML Ops Engineer, enhancing machine learning capabilities and supporting data science teams.
- Company: Viator, a Tripadvisor company, is the top marketplace for unforgettable travel experiences.
- Benefits: Enjoy flexible work options, competitive pay, tuition assistance, and travel perks.
- Why this job: Be part of a culture that values innovation, collaboration, and personal growth in a dynamic environment.
- Qualifications: 2+ years in ML engineering, AWS experience, and familiarity with tools like Terraform and Docker required.
- Other info: This hybrid role is based in London or Oxford, offering a chance to work with cutting-edge technologies.
The predicted salary is between 36000 - 60000 ÂŁ per year.
About Viator
Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. With 300,000+ travel experiences to explore—everything from simple tours to extreme adventures—making memories that will last a lifetime has never been easier.
The demands for Data Science and Machine Learning are experiencing rapid growth, demanding an enhancement of our Machine Learning Platform's capabilities. To address the increasing traffic and deliver cutting-edge solutions, the team is in search of a Machine Learning Engineer to join and support Viator’s growth. This role is a hybrid position based in our London or Oxford office.
What you'll do:
Our mission is to make data scientists more productive and to enable broader and deeper utilization of machine learning techniques to help improve the business performance. As an ML Ops Engineer, you will play a pivotal role in our dynamic team, with the opportunity to learn many cutting-edge technologies around the Machine Learning Platform, as well as push the boundaries to test, develop and implement new ideas, technology and opportunities. Your primary responsibilities will include:
- Empowering Data Science and ML teams by providing the tools and infrastructure necessary for seamless execution of data science and machine learning tasks.
- Supporting tech stack evolution by developing across our existing technology stack while contributing to our migration into the AWS cloud, leveraging and adopting the latest services available in that environment.
- Building and maintaining a robust and scalable infrastructure to support pre-computed, batch and real-time model needs, ensuring smooth deployment and operation of machine learning models.
- Fostering a culture of innovation by generating and promoting new ideas within the ML Ops domain.
- Finding creative solutions to complex problems, pushing the boundaries of what is possible.
- Touching code at every level – from the UI, backend microservices, database, big data processing, operations, to CD/CI automation.
What you'll need:
- 2+ years of ML engineering experience, focused on building modern ML infrastructure catering to all stages of a model lifecycle, including development, deployment, management and monitoring.
- Hands-on experience with AWS.
- A good grasp of IaC (Infrastructure-as-code) tools like Terraform and CloudFormation.
- Previous exposure to additional technologies like Python, Spark, Docker, Kubernetes is desirable.
- Ability to develop across a diverse technology stack and willingness and ability to take on new technologies.
- Demonstrated experience participating on cross-functional teams in fast-paced environments.
- Excellent ability to break down complex problems into simple solutions.
- Experience with CI/CD processes and platforms.
- Sense of ownership, urgency and pride in your work.
- High quality verbal and written communication skills.
Perks of Working at Viator:
- Competitive compensation packages, including base salary, annual bonus, and equity.
- “Work your way” with flexibility to suit your lifestyle.
- We take a remote-friendly approach to collaboration, with the option to join on-site as often as you’d like in select locations.
- Flexible schedule. Work-life balance is ingrained in our culture by design.
- Donation matching. We match qualifying charitable donations annually.
- Tuition assistance. Receive annual support for qualified programs.
- Lifestyle benefit. An annual benefit to spend on yourself.
- Travel perks. We provide discounts and more.
- Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges.
- Health benefits. We offer great coverage and competitive premiums.
Our Values:
- We aspire to lead; We’re relentlessly curious.
- We’re better together.
- We serve our customers, always.
- We strive for better, not perfect.
At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there.
ML Operations Engineer II (Viator) employer: Tripadvisor
Contact Detail:
Tripadvisor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Operations Engineer II (Viator)
✨Tip Number 1
Familiarise yourself with AWS and its services, as this role heavily involves cloud migration. Consider taking online courses or certifications to boost your knowledge and demonstrate your commitment to mastering the platform.
✨Tip Number 2
Get hands-on experience with Infrastructure-as-Code (IaC) tools like Terraform and CloudFormation. Building small projects or contributing to open-source can showcase your skills in managing infrastructure efficiently.
✨Tip Number 3
Engage with the ML community by attending meetups or webinars focused on ML Ops. Networking with professionals in the field can provide insights into industry trends and may even lead to referrals.
✨Tip Number 4
Prepare to discuss your problem-solving approach during interviews. Be ready to share specific examples of how you've tackled complex challenges in previous roles, particularly in fast-paced environments.
We think you need these skills to ace ML Operations Engineer II (Viator)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in ML engineering, particularly focusing on building and managing ML infrastructure. Include specific projects or technologies you've worked with that align with the job description.
Craft a Compelling Cover Letter: In your cover letter, express your passion for travel and how it aligns with Viator's mission. Discuss your experience with AWS, IaC tools, and any other relevant technologies, while showcasing your problem-solving skills and ability to work in cross-functional teams.
Showcase Your Technical Skills: When detailing your experience, be specific about the technologies you’ve used, such as Python, Spark, Docker, and Kubernetes. Mention any CI/CD processes you’ve implemented and how they contributed to project success.
Demonstrate Cultural Fit: Viator values curiosity, teamwork, and a commitment to improvement. In your application, provide examples of how you've embodied these values in your previous roles, and how you can contribute to fostering a culture of innovation at Viator.
How to prepare for a job interview at Tripadvisor
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with AWS, Python, and other relevant technologies. Bring examples of past projects where you built or maintained ML infrastructure, as this will demonstrate your capability to handle the technical demands of the role.
✨Understand the Company Culture
Familiarise yourself with Viator's values and mission. Highlight how your personal values align with theirs, especially around curiosity and collaboration. This will show that you're not just a fit for the role, but also for the company culture.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your ability to break down complex problems into simple solutions. Practice articulating your thought process clearly, as this will be crucial in demonstrating your analytical skills during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and future technology stack evolution. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.