# Staff Machine Learning Engineer, Home Surfaces

**Company:** [Spotify](https://hotfix.jobs/companies/spotify)
**Location:** Remote
**Role:** ML Engineering
**Experience:** 8+ years
**Skills:** Python, PyTorch, Recommendation Systems, Ranking Models, Personalization, LLMs, Lora, Ray, Fsdp, Hsdp, Flyte, Airflow, BigQuery, A/B Testing
**Posted:** 2026-09-10

> Staff Machine Learning Engineer building recommendation systems, LLM-powered experiences, and production-scale personalization infrastructure. Requires 8+ years of ML systems experience, deep recommendation expertise, Python/PyTorch proficiency, and distributed ML operations experience.

## Job Description

## Responsibilities
- Own and improve the machine learning models and systems powering the Home feed, including Home Shortcuts.
- Design, build, and ship personalized recommendations for millions of listeners globally.
- Build content recommendation systems for agentic and AI-powered user experiences.
- Train, fine-tune, evaluate, and optimize large language models using supervised fine-tuning, distillation, and parameter-efficient training.
- Partner with product managers, engineers, data scientists, and designers on experimentation strategies.
- Drive A/B testing, monitoring, model evaluation, and continuous optimization of recommendation quality, reliability, and cost efficiency.
- Improve ML platforms, data pipelines, and production systems supporting personalization at scale.
- Drive technical direction in ambiguous problem spaces and contribute to personalization architecture.
- Mentor machine learning engineers.

## Requirements
- 8+ years of experience building and deploying production machine learning systems.
- Deep expertise in recommendation systems, ranking models, personalization, or large-scale content discovery.
- Strong Python proficiency and hands-on PyTorch experience.
- Experience with large language model training, fine-tuning, evaluation, and optimization, including SFT, distillation, and LoRA.
- Experience with large-scale inference systems and latency, reliability, and cost optimization.
- Experience designing, executing, and interpreting online experiments and A/B tests.
- Experience operating distributed machine learning workloads with Ray, FSDP, HSDP, or similar frameworks.
- Experience building and maintaining data pipelines and orchestration workflows with technologies such as Flyte, Airflow, BigQuery, and cloud-based storage platforms.
- Strong communication and technical influence across audiences.

## Compensation
- Compensation details were not provided.

## Similar jobs

- [Staff Machine Learning Engineer, Public Sector](https://hotfix.jobs/jobs/cc2e220a-79df-4631-ad6e-46ac6902953f) - Scale AI - Denver, CO - $274k – $343k/yr
- [Staff+ Software Engineer, ML Inference Path](https://hotfix.jobs/jobs/90cf7427-87de-41e1-af88-0d4e1187b94b) - Anthropic - San Francisco, CA - $320k – $485k/yr
- [Staff Engineer, Perception Software](https://hotfix.jobs/jobs/f7fd4093-6de3-4fa2-a6af-4195c25747f0) - Shield AI - San Diego, CA - $200k – $300k/yr
- [Staff Machine Learning Operations Engineer](https://hotfix.jobs/jobs/b5d46280-8221-4b6e-b0b2-033cc6f2c8d7) - Garner Health - New York, NY - $298k – $351k/yr
- [Staff AI Enablement Engineer](https://hotfix.jobs/jobs/f66b54fc-c0f6-41bc-aa3e-dd03ad31f295) - Talkiatry - Remote - $190k – $230k/yr

**Apply:** https://hotfix.jobs/jobs/6b5a1e49-1cb9-4169-aa1d-1febb750d4a8
**Canonical:** https://hotfix.jobs/jobs/6b5a1e49-1cb9-4169-aa1d-1febb750d4a8