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- Tasks: Join us as an MLOps Engineer II, developing cutting-edge machine learning platforms.
- Company: Tripadvisor is a welcoming and inclusive company revolutionising travel with a people-powered platform.
- Benefits: Enjoy remote or hybrid work options, a fun environment, and opportunities for recognition and rewards.
- Why this job: Be part of a dynamic team pushing tech boundaries while collaborating with data scientists to enhance business performance.
- Qualifications: 5+ years in software development; experience with Python, Java, Docker, Kubernetes, and AWS preferred.
- Other info: We value unique perspectives and strive for an accessible recruitment process.
The predicted salary is between 43200 - 72000 £ per year.
We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique perspective and experiences, so we can collectively revolutionize travel and together find the good out there.
We have a fun and friendly environment where the key objective is getting things done. Our engineers are part of the full process from design, to code, to test, to deployment and back again for further iteration. Our team is building the Machine Learning Platform for all data scientists across Tripadvisor. 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.
We use a variety of 3rd party packages, including MLFlow, Seldon for ML model tracking and deployment, Kubernetes for hosting models, Argo and Git for CI/CD automation, Spark for big data processing. This is a rapidly changing field and we are deeply involved in open source community to help shape the technology evolution and are constantly looking for components to adopt in order to enhance our platform.
What you’ll do:
- Develop across our evolving technology stack - we’re using Python, Java, Kubernetes, Apache Spark, Postgres, ArgoCD, Argo Workflow, Seldon, MLFlow and more.
- We are migrating into AWS cloud and adopting many services that are available in that environment.
- You will have the opportunity to learn many cutting edge technologies around Machine Learning Platform.
- You will push the boundaries, to test, develop and implement new ideas, technology and opportunities, and be well rewarded and recognized for doing so.
- Take responsibility for all aspects of software engineering, from design to implementation, QA and maintenance.
- Touch code at every level – from the UI, backend microservices, database, big data processing, operations, to CD/CI automation.
- Collaborate closely with data science teams to define feature specifications and develop high quality deliverables for our customers.
- Take ownership for the quality of the code.
Skills and Experience:
- At least 5 years’ experience of commercial software development.
- Willingness and ability to take on new technologies.
- Ability to break down complex problems into simple solutions.
- Strong analytical skills and desire to write clean, correct and efficient code.
- Sense of ownership, urgency and pride in your work.
- Experience with Python, Java, Docker, Kubernetes, Argo, Spark and AWS cloud services a plus.
- Exposure to Machine Learning practices a plus.
We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team.
MLOps Engineer II (Remote or Hybrid) employer: TripAdvisor LLC
Contact Detail:
TripAdvisor LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MLOps Engineer II (Remote or Hybrid)
✨Tip Number 1
Familiarise yourself with the technologies mentioned in the job description, such as Python, Java, Kubernetes, and AWS. Having hands-on experience or projects showcasing these skills can significantly boost your chances of standing out.
✨Tip Number 2
Engage with the open-source community related to MLOps and machine learning. Contributing to relevant projects or participating in discussions can demonstrate your passion and commitment to the field, making you a more attractive candidate.
✨Tip Number 3
Network with current employees or professionals in the MLOps space. Use platforms like LinkedIn to connect and learn about their experiences at Tripadvisor, which can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and system design problems that focus on cloud services and machine learning. This will help you articulate your thought process and problem-solving skills effectively during the interview.
We think you need these skills to ace MLOps Engineer II (Remote or Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software development, particularly with technologies mentioned in the job description like Python, Java, and Kubernetes. Emphasise any experience you have with machine learning practices and cloud services.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for MLOps and your understanding of Tripadvisor's mission. Mention specific projects or experiences that demonstrate your ability to work with the technologies listed and your collaborative skills with data science teams.
Showcase Problem-Solving Skills: In your application, provide examples of how you've broken down complex problems into simple solutions in past projects. This will demonstrate your analytical skills and your ability to take ownership of your work.
Highlight Continuous Learning: Mention any recent courses, certifications, or personal projects that show your willingness to learn new technologies. This is particularly important given the rapidly changing nature of the field and the emphasis on adopting new components at Tripadvisor.
How to prepare for a job interview at TripAdvisor LLC
✨Showcase Your Technical Skills
Make sure to highlight your experience with the technologies mentioned in the job description, such as Python, Java, Kubernetes, and AWS. Be prepared to discuss specific projects where you've used these tools and how they contributed to the success of your team.
✨Demonstrate Problem-Solving Abilities
The role requires breaking down complex problems into simple solutions. Prepare examples from your past work where you successfully tackled challenging issues, explaining your thought process and the steps you took to resolve them.
✨Emphasise Collaboration
Since the position involves working closely with data science teams, be ready to discuss your experience in collaborative environments. Share examples of how you’ve worked with others to define feature specifications and deliver high-quality results.
✨Express Your Passion for Learning
This role is about pushing boundaries and adopting new technologies. Convey your enthusiasm for learning and adapting to new tools and practices, especially in the rapidly evolving field of machine learning and software engineering.
