Senior Machine Learning Engineer - Ads Foundational Representations
New
You can work remotely from anywhere in the UK or the Netherlands.Full-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 5+ years
- Required Skills
- Machine LearningPyTorchTensorflowNLPLLMComputer Vision
Requirements
- 5+ years of hands-on experience with the full lifecycle of designing, training, evaluating, testing, and deploying industry-level models.
- Experience building NLP or CV models and integrating them at scale.
- Experience developing complex features/embeddings for downstream models.
- Experience with mainstream DL frameworks: PyTorch or TensorFlow.
- Excitement about working with data and readiness to look behind the metric numbers.
- Experience with Python, Airflow, BigQuery, Ray, k8s, kafka, and GCP (preferred).
- Familiarity with the Ads domain, Search, or Recommender systems (preferred).
- Tech leadership experience, including mentoring and leading complex projects (preferred).
- Hands-on experience with using, fine-tuning, or building LLMs (preferred).
Responsibilities
- Develop new or iterate on existing embedding models for advertising use cases, ranging from aggregation pipelines to two-tower architectures and sequence models.
- Work with local and 3rd-party LLMs/VLMs to extract representations, develop evaluation methodologies, and prompt or fine-tune models.
- Build data processing and inference pipelines for developed models.
- Perform qualitative and quantitative evaluation of features, from internal benchmarks to online experiments.
- Ensure the reliability, scalability, and performance of ML systems through testing, monitoring, and best practices.
- Participate in modeling and coding reviews to ensure quality and performance standards.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
View Full Description & ApplyYou'll be redirected to the employer's site
