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For Companies At a Glance
- Tasks: Develop and enhance our Machine Learning Platform using cutting-edge technologies.
- Company: Join Tripadvisor, a fun and inclusive workplace revolutionising travel.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Why this job: Make a real impact in the evolving field of machine learning.
- Qualifications: 5+ years in software development; experience with Python, Java, and cloud services preferred.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 28800 - 48000 £ per year.
Overview
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
- Computer Science degree or equivalent 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 at recruitment@tripadvisor.com.
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ML Platform Engineer II (MLOps) employer: Tripadvisor
Contact Detail:
Tripadvisor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Platform Engineer II (MLOps)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Tripadvisor. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those involving Python, Kubernetes, or ML. This gives us a taste of what you can do!
✨Tip Number 3
Prepare for the tech interview! Brush up on your coding skills and be ready to discuss your experience with tools like Spark and AWS. We love seeing how you tackle problems.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates like you!
We think you need these skills to ace ML Platform Engineer II (MLOps)
Some tips for your application 🫡
Show Your Passion for Tech: When you're writing your application, let your enthusiasm for technology shine through! We love candidates who are excited about the tools and languages we use, like Python, Java, and Kubernetes. Share any personal projects or experiences that highlight your passion for machine learning and software development.
Tailor Your Application: Make sure to customise your application to fit the job description. Highlight your relevant experience with MLFlow, Seldon, or any other tech mentioned. This shows us that you’ve done your homework and understand what we’re looking for in a candidate.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Use bullet points where possible to make your skills and experiences stand out. Remember, we want to see your best self without wading through too much text!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values while you’re at it!
How to prepare for a job interview at Tripadvisor
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like Python, Java, Kubernetes, and Spark. Be ready to discuss your experience with these tools and how you've used them in past projects. This shows you’re not just a fit on paper but also in practice.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've broken down complex problems into simple solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your analytical skills and ability to tackle challenges head-on.
✨Emphasise Collaboration
Since the role involves working closely with data science teams, be ready to talk about your collaborative experiences. Share instances where you’ve worked in cross-functional teams and how you contributed to achieving common goals. This highlights your teamwork skills and adaptability.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, the technology stack, or the company culture. This not only shows your genuine interest in the role but also helps you gauge if the company is the right fit for you. Remember, interviews are a two-way street!
