Staff ML Engineer (Remote) - Embeddings & LLMs for Ads

Fdetimes; Netherlands; Remote; EUR 140,000 - 190,000; Full time

Benefits offered by this job

Global benefits

Family planning support

Mental health & coaching

Private pension with employer matching

Employer-sponsored health plan

Flexible vacation & paid volunteer时间

Job summary

Reddit is looking for a Staff ML Engineer to lead cross-functional ML projects within the Ads foundational representations team. You will set technical direction and own end-to-end delivery from problem framing to production systems.

You will split time between strategic leadership and hands-on data processing, modeling and system optimization, ensuring scalable embeddings and state-of-the-art representations for ads and content understanding.

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 and readiness to look behind metric numbers.
• Familiarity with Ads domain and/or Search/Recommender systems.
• Experience with mainstream DL frameworks: PyTorch or TensorFlow.

Responsibilities

• Providing technical leadership and mentorship to ML engineers: driving designs & reviews, establishing best practices in analysis, modeling and engineering.
• Working closely with team leadership developing technical strategy for content-based embeddings & relevance for Ads.
• Developing new or iterating on existing embedding models for advertising use cases, from aggregation pipelines to two-tower architectures and sequence models.
• Collaborating with local and 3rd-party LLMs/VLMs: extract representations, develop evaluation methodologies, prompt tune and fine-tune large models to build embeddings.
• Building data processing and inference pipelines for the models we develop.
• Qualitative and quantitative evaluation of features with end-to-end experimentation from internal benchmarks to online experiments.
• Ensuring reliability, scalability, and performance of ML systems by writing automated tests, monitoring performance, and implementing best practices for model management.
• Participating in modeling and coding reviews: provide feedback to meet team standards for quality and performance.
• Collaborating with cross-functional teams to translate requirements into technical solutions.

Skills

Staff-level leadership

ML model development

Communication skills

Embeddings for NLP/CV

Data-driven ML approach

Ads domain knowledge

Tools

PyTorch

TensorFlow

Airflow

BigQuery

Ray

Kubernetes

Kafka

GCP

Job description

Reddit is looking for a Staff ML Engineer to lead cross-functional ML projects within the Ads foundational representations team. You will set technical direction and own end-to-end delivery from problem framing to production systems.

You will split time between strategic leadership and hands-on data processing, modeling and system optimization, ensuring scalable embeddings and state-of-the-art representations for ads and content understanding.