Remote Staff ML Engineer, Personalization & Home Surfaces

Software; United States; Remote; USD 227,000 - 325,000; Full time

Benefits offered by this job

Health insurance

Paid parental leave (6 months)

401(k) retirement plan

Monthly meal allowance

23 paid days off

13 paid flexible holidays

Paid sick leave

Job summary

Spotify is seeking a Staff Machine Learning Engineer for the Home Surfaces team. You will shape personalized discovery, enhancing the Home feed and Shortcuts with ML-driven recommendations and large-language-model work at global scale.

You will collaborate with product, data scientists and engineers to run experiments, optimize latency and costs, and advance AI-powered user experiences across Spotify surfaces.

Qualifications

• Experience designing and deploying ML systems in production.
• Expertise in recommender systems, personalization, or large-scale discovery.
• Strong Python and PyTorch skills.
• Experience training/finetuning LLMs with SFT, distillation, LoRA.
• Experience with latency, reliability and cost optimization in inference.
• Able to communicate across technical and non-technical audiences.
• Proficient in online experimentation and A/B testing.
• Experience with distributed ML workloads and orchestration tools.

Responsibilities

• Own and improve ML models powering Home feed and Shortcuts.
• Design and ship personalized recommendations at scale.
• Build content recommendation systems for AI-powered experiences.
• Train/finetune LLMs using SFT, distillation, LoRA.
• Collaborate with product, engineers, data scientists and designers on experiments.
• Lead A/B testing, monitoring, evaluation, and optimization.
• Improve ML platform, data pipelines and production systems.
• Shape long-term personalization architecture and mentor others.

Skills

ML systems design

Recommendation systems

Online experiments

Python

PyTorch

Cross-team influence

Distributed ML

Data pipelines

Tools

Ray

FSDP

HSDP

LoRA

Flyte

Airflow

BigQuery

Cloud storage

Job description

Spotify is seeking a Staff Machine Learning Engineer for the Home Surfaces team. You will shape personalized discovery, enhancing the Home feed and Shortcuts with ML-driven recommendations and large-language-model work at global scale.

You will collaborate with product, data scientists and engineers to run experiments, optimize latency and costs, and advance AI-powered user experiences across Spotify surfaces.