Senior Machine Learning Engineer, Ads Foundational Representations

This is a fully remote position, open to applicants in Netherlands.

📋 Description

• Creating new embedding models or enhancing existing ones for advertising applications, which include aggregation pipelines, two-tower architectures, and sequence models.

• Collaborating with both local and third-party large language models (LLMs) and vision models (VLMs): extracting representations, developing evaluation methodologies, and performing prompt tuning and fine-tuning on large models to produce cutting-edge embeddings.

• Developing data processing and inference pipelines for the models we create.

• Conducting both qualitative and quantitative evaluations of the various features we design, engaging in end-to-end experimentation that spans from internal benchmarks to offline metrics for recommender systems and online experiments.

• Guaranteeing the reliability, scalability, and performance of machine learning systems by writing automated tests, monitoring performance, and applying best practices in model management.

• Participating in modeling and code reviews: you will review the work of fellow team members and offer constructive feedback to ensure adherence to the team's quality and performance standards.

• Working alongside cross-functional teams to grasp business requirements and convert them into technical solutions.

⛳️ Requirements

• Over 5 years of hands-on experience with the complete lifecycle of designing, training, evaluating, testing, and deploying models at an industry level.

• Proven experience in building natural language processing (NLP) or computer vision (CV) models and scaling their integration.

• Background in developing intricate features or embeddings for downstream models.

• Familiarity with popular deep learning frameworks such as PyTorch or TensorFlow.

• A passion for working with data and a willingness to delve beyond the surface of metric numbers.

🏝️ Benefits

• Global benefit programs tailored to your lifestyle, covering workspace, professional development, and caregiving support.

• Family planning assistance.

• Gender-affirming care options.

• Mental health and coaching benefits.

• Private pension plan with employer matching.

• Fully employer-sponsored group medical plan.

• Income replacement programs.

• Flexible vacation and paid volunteer time off.

• Generous paid parental leave.