Machine Learning Engineer
HangSalary not specified
- Full Time
- Senior (5 to 8 years)
$60,000 – $90,000Compensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
InternshipJob Type
UnknownVisa
AI & Machine Learning, Cloud Computing, Software DevelopmentIndustries
Requirements
Candidates should possess at least 2 years of Machine Learning engineering experience, focusing on building modern ML infrastructure that covers all stages of a model lifecycle, including development, deployment, management, and monitoring. They should have hands-on experience with AWS, a solid understanding of Infrastructure-as-Code tools such as Terraform and CloudFormation, and desirable exposure to technologies like Python, Spark, Docker, and Kubernetes. Furthermore, candidates must demonstrate the ability to develop across a diverse technology stack and a willingness to learn and adopt new technologies, along with experience participating on cross-functional teams in fast-paced environments.
Responsibilities
As a Machine Learning Engineer, the primary responsibilities include empowering Data Science and ML teams by providing the necessary tools and infrastructure for seamless execution of data science and machine learning tasks, supporting the tech stack evolution through development and contributing to the migration into the AWS cloud, leveraging available services, 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, and fostering a culture of innovation by generating and promoting new ideas within the ML Ops domain, finding creative solutions to complex problems, and touching code at various levels, including the UI, backend microservices, database, big data processing, operations, and CD/CI automation.
Skills
Python
AWS
Spark
Docker
Kubernetes
Terraform
CloudFormation
Infrastructure as Code
MLOps
Model Deployment
Model Monitoring
SQL
Data Pipelines
TripAdvisor
Largest travel platform for reviews and bookings
About TripAdvisor
Tripadvisor is the largest travel platform in the world, designed to help travelers research and plan their trips. It collects millions of reviews and opinions from travelers about various services such as hotels, restaurants, activities, airlines, and cruises. Users can access this information to make informed decisions about their travel plans. Tripadvisor operates mainly through advertising revenue, offering businesses in the travel industry the opportunity to advertise and enhance their visibility on the platform. Additionally, it earns money through affiliate commissions when users book travel services through links on its site. What sets Tripadvisor apart from its competitors is its vast database of user-generated content, which provides authentic insights and recommendations. The goal of Tripadvisor is to empower travelers with the information they need to create memorable travel experiences.
Key Metrics
Englewood, ColoradoHeadquarters
1999Year Founded
$325MTotal Funding
IPOCompany Stage
Consumer Software, Consumer GoodsIndustries
51-200Employees