At a Glance
- Tasks: Join our team to enhance machine learning capabilities and support data scientists.
- Company: Viator, a Tripadvisor company, offers 300,000+ travel experiences for unforgettable memories.
- Benefits: Enjoy flexible work options, competitive pay, tuition assistance, and travel perks.
- Why this job: Be part of an innovative culture that values creativity and collaboration in tech.
- Qualifications: 2+ years in ML engineering with AWS experience; familiarity with Python, Docker, and CI/CD processes.
- Other info: This hybrid role is based in London or Oxford, promoting a healthy work-life balance.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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 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. Give back? Give more! We match qualifying charitable donations annually.
- Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs.
- Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you.
- Travel perks. We believe that travel is employee development, so 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.
Contact Detail:
TripAdvisor LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Operations Engineer II (Viator)
✨Tip Number 1
Familiarise yourself with Viator's mission and values. Understanding their focus on making travel memorable will help you align your answers during interviews, showcasing how your skills can contribute to their goals.
✨Tip Number 2
Brush up on your AWS knowledge, as this role involves migrating to the cloud. Being able to discuss specific AWS services and how they can enhance ML operations will demonstrate your readiness for the position.
✨Tip Number 3
Prepare to discuss your experience with Infrastructure-as-Code tools like Terraform and CloudFormation. Highlighting your hands-on experience with these technologies will show that you're equipped to support tech stack evolution.
✨Tip Number 4
Showcase your problem-solving skills by preparing examples of complex challenges you've tackled in previous roles. This will illustrate your ability to break down issues and find creative solutions, which is crucial for the ML Ops Engineer role.
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. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for travel and how your skills can contribute to Viator's mission. Mention specific technologies you’ve worked with, such as AWS, Terraform, or Python, and how they relate to the responsibilities outlined in the job description.
Showcase Problem-Solving Skills: Provide examples of complex problems you've solved in previous roles. Highlight your ability to break down challenges and implement effective solutions, as this is a key requirement for the position.
Highlight Team Collaboration: Emphasise your experience working in cross-functional teams. Discuss how you’ve collaborated with data scientists or other engineers to enhance ML capabilities, as teamwork is crucial for success in this role.
How to prepare for a job interview at TripAdvisor LLC
✨Showcase Your ML Experience
Be prepared to discuss your previous experience in machine learning engineering. Highlight specific projects where you built or maintained ML infrastructure, focusing on the tools and technologies you used, especially AWS, Python, and Terraform.
✨Demonstrate Problem-Solving Skills
Expect questions that assess your ability to break down complex problems. Prepare examples of challenges you've faced in past roles and how you approached finding solutions, particularly in fast-paced environments.
✨Familiarise Yourself with Viator's Values
Understand Viator's core values and be ready to discuss how they resonate with you. Think about how your own experiences align with their commitment to curiosity, collaboration, and customer service.
✨Prepare for Technical Questions
Brush up on your technical knowledge related to CI/CD processes, containerisation with Docker, and orchestration with Kubernetes. Be ready to answer questions or even solve problems on the spot to demonstrate your expertise.