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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and optimizing machine learning systems, particularly in recommendation and personalization technologies. Proficient in Python and frameworks like PyTorch, with a strong ability to design and execute A/B tests and manage data pipelines.
Highest-signal resume keywords
Machine Learning Systems DevelopmentRecommendation Systems ExpertisePython ProficiencyA/B Testing ExecutionData Pipeline Management
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Own and improve machine learning models and systems powering the Home feed, including the Shortcuts experience
- Design, build, and ship personalized recommendations serving millions of Spotify listeners globally
- Build content recommendation systems for emerging agentic and AI-powered user experiences
- Train, fine-tune, evaluate, and optimize large language models using SFT, distillation, and parameter-efficient training approaches
- Partner with Product Managers, Engineers, Data Scientists, and Designers to define and execute experimentation strategies
- Drive A/B testing, monitoring, model evaluation, and continuous optimization of recommendation quality, reliability, and cost efficiency
- Improve ML platform capabilities, data pipelines, and production systems supporting personalization at Spotify scale
- Drive technical direction in ambiguous problem spaces and contribute to long-term personalization-system architecture
- Mentor and support other Machine Learning Engineers and strengthen engineering practices across the team
Requirements
What you’ll need- Deep experience building and deploying machine learning systems in production environments
- Deep experience with recommendation systems, ranking models, personalization, or large-scale content discovery platforms
- Proficiency in Python
- Hands-on experience building machine learning systems with PyTorch
- Experience with large language model training, fine-tuning, evaluation, and optimization techniques, including SFT, distillation, and LoRA
- Experience with large-scale inference systems and understanding of latency, reliability, and cost optimization challenges
- Ability to design, execute, and interpret online experiments and A/B tests
- Experience operating distributed machine learning workloads using Ray, FSDP, HSDP, or similar frameworks
- Experience building and maintaining data pipelines and orchestration workflows using Flyte, Airflow, BigQuery, and cloud-based storage platforms
- Ability to communicate effectively with technical and non-technical partners and influence technical decisions
- Ability to work within the North Americas region where Spotify has a work location
- Availability to collaborate within the Eastern Standard time zone
Benefits
Comp & perks- health insurance
- six month paid parental leave
- 401(k) retirement plan
- monthly meal allowance
- 23 paid days off
- 13 paid flexible holidays
- paid sick leave
- equity
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningRecommendation SystemsLarge Language Model TrainingPythonPyTorchSFTDistillationRayFlyteAirflow
Soft Skills
Effective CommunicationMentoringCollaboration
Tools & Technologies
BigQueryCloud-Based StorageDistributed Machine Learning Frameworks
Industry Keywords
PersonalizationContent DiscoveryModel EvaluationContinuous OptimizationExperimentation Strategies