Machine Learning Engineer working on next - generation agentic AI platform at Salesforce. Collaborate with teams to innovate and design impactful AI systems for customers.
About the role
- Machine Learning Engineer II enhancing traveler experiences across Expedia Group brands using data and machine learning technologies. Collaborating on innovative products and services with cross-functional teams.
Responsibilities
- Design and develop moderately complex, testable, and observable systems
- Build APIs and services for use across business units
- Understand how technical work supports business goals, identify and solve project-level business problems
- Coordinate with stakeholders across engineering, product, and data to align priorities
- Identify inefficiencies in code and systems; propose improvements in ML engineering, platforms, and tooling
- Ensure performance, scalability, and reliability of systems through monitoring and testing
- Lead code reviews and mentor peers
Requirements
- Bachelor’s or Master’s degree in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent related professional experience
- 2+ years of experience in software or machine learning engineering with a Master's degree, or 3+ years of experience with a Bachelor's degree
- Experience building and maintaining at least one end-to-end machine learning pipeline in production, from feature engineering to scalable inference
- Proficiency in Python and experience developing software in at least two other programming languages across multiple tech stacks
- Preferred: Proficiency with ML libraries and frameworks such as PyTorch or TensorFlow
- Strong command of big data technologies like Spark
- Experience using cloud services (e.g., AWS) and workflow orchestration tools (e.g., Airflow)
Benefits
- Full benefits package
- Exciting travel perks
- Generous time-off
- Parental leave
- Flexible work model
- Career development resources
- Wellness & travel reimbursement
- Travel discounts
- International Airlines Travel Agent (IATAN) membership
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
FI
Data Analyst internship focusing on resource price forecasts with AI and machine learning methodologies at Fraunhofer Institute in Nürnberg. Collaborating on data analytics projects and applying modern techniques for predictive modeling.
Graduate Analyst in Data & Machine Learning Operations for Volkswagen Financial Services, focusing on machine learning, data integration, and business intelligence projects.
Senior ML Engineer responsible for designing scalable AI/ML infrastructure at General Motors. Collaborating with teams on advanced AI solutions for intelligent driving technologies.
Scientific AI & ML Engineer designing and deploying innovative AI - driven solutions. Collaborating with teams to solve complex scientific challenges through advanced machine learning techniques.
MLOps Engineer developing, testing, and maintaining machine learning models at Booz Allen. Collaborating with software developers and data scientists to deliver AI - powered solutions.
Senior Software Developer working on ML Infrastructure and Deployment at Verafin. Helping develop cutting - edge fraud detection tools alongside analytics teams using AWS and Terraform.
Machine Learning Engineer developing advanced SLAM systems for autonomous trucking environments at Bot Auto. Collaborating with cross - functional teams to optimize mapping solutions and ensure operational stability.
Graduate Deep Learning Algorithm Developer developing perception technologies for autonomous driving. Tackling challenges in object detection and 3D perception using state - of - the - art deep learning models.
Principal AI/ML Engineer leading the AI/ML infrastructure development for WEX's risk service needs. Focused on innovative engineering and technology solutions within a high - stakes environment.