Machine Learning Engineer designing and optimizing deep learning models for safety - critical environments at Destinus. Shaping the future of high - speed, autonomous flight technologies.
About the role
- Machine Learning Engineer optimizing personalization systems for Spotify's audio streaming service. Collaborating with cross-functional teams to enhance user experience and deliver recommendations.
Responsibilities
- Design and build machine learning systems that optimize ranking and sequencing across personalized surfaces
- Develop multi-objective optimization strategies that balance user satisfaction with business outcomes
- Collaborate closely with cross-functional partners including product, data science, and engineering teams to align on goals, share context, and deliver impactful solutions
- Work across ML, backend, and data layers to bring models into production
- Contribute to scalable infrastructure supporting high-volume user interactions
- Run experiments and use insights to continuously improve performance
- Help shape technical direction and raise the bar for engineering excellence within the team
Requirements
- 5+ years of experience in machine learning, data, or backend engineering
- Experienced with production-grade systems and scalable architectures
- Worked on recommendation systems, ranking, or optimization problems
- T-shaped skillset across ML, data, and backend domains
- Comfortable navigating ambiguity and solving complex problems
- Care about user experience and measurable impact
- Enjoy collaborating across disciplines and geographies
Benefits
- Flexible working hours
- Remote work options
- Opportunities for personal development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
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