Staff ML Engineer — Embeddings & Ads Relevance

Nerdleveltech; Amsterdam; Hybrid; EUR 120,000 - 190,000; Full time

Benefits offered by this job

Global benefits package

Family-friendly leave

Private pension plan

Flexible vacation

Mentorship and growth

Job summary

Reddit is seeking a Staff ML Engineer to set the technical direction for multiple pillars of the AFR team. You will lead cross-functional ML projects end to end, from business gap analysis to engineering execution.

Half your time is leadership and mentorship, the other half is hands-on data analysis, modeling, and automation. You will develop embedding models for ads, work with LLMs/VLMs, and build scalable data pipelines, tests, and model management practices.

Qualifications

• 7+ years of hands-on experience with the full lifecycle of designing, training, evaluating, testing, and deploying industry-level models.
• Staff-level technical leadership: mentoring engineers, driving standards and bar raising, leading complex cross-functional projects.
• Excellent communication skills, with the ability to translate complex technical concepts to different audiences, both verbally and in writing.
• Strong track record of working on content rich NLP/CV problems at scale, and using embeddings as a tool to solve them.
• Established data-driven approach for ML system development. Excitement about working with data and readiness to look behind the metric numbers.
• Familiarity with the Ads domain and/or Search/Recommender systems.
• Experience with mainstream DL frameworks: PyTorch or TensorFlow.

Responsibilities

• Providing technical leadership and mentorship to MLEs in the team: driving designs & their review, establishing best practices in analysis, modeling and engineering, keeping the bar high.
• Working closely with team/org leadership developing technical strategy for content-based embeddings & relevance for Ads.
• Developing new or iterating on existing embedding models for advertising use cases, ranging from aggregation pipelines to two-tower architectures and sequence models.
• Working with local and 3rd-party LLMs/VLMs: extract representations, develop evaluation methodologies, prompt tune and fine-tune large models to build state-of-the-art embeddings.
• Building data processing and inference pipelines for the models we develop.
• Qualitative and quantitative evaluation of the various features we develop, end-to-end experimentation from internal benchmarks to downstream recommender system offline metrics to online experiments.
• Ensuring the reliability, scalability, and performance of the ML systems by writing automated tests, monitoring performance, and implementing best practices for model management.
• Participating in modeling and coding reviews: You will review work by other team members and provide feedback to ensure that it meets the team's standards for quality and performance.
• Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.

Skills

Staff-level leadership

ML model lifecycle

Communication

NLP/CV embeddings

Data-driven ML development

Ads domain familiarity

PyTorch / TensorFlow

Tools

PyTorch

TensorFlow

Airflow

BigQuery

Ray

Kubernetes (k8s)

Kafka

GCP

Job description

Reddit is seeking a Staff ML Engineer to set the technical direction for multiple pillars of the AFR team. You will lead cross-functional ML projects end to end, from business gap analysis to engineering execution.

Half your time is leadership and mentorship, the other half is hands-on data analysis, modeling, and automation. You will develop embedding models for ads, work with LLMs/VLMs, and build scalable data pipelines, tests, and model management practices.