Senior Machine Learning Engineer, Ads Foundational Representations
New
R
RedditAdvertising Technology
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
- PythonMachine LearningPyTorchTensorflowDeep LearningNLPComputer 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.
- Proficiency with mainstream deep learning frameworks (PyTorch or TensorFlow).
- Strong interest in working with data and investigating underlying metrics.
- Experience with the company tech stack (Python, Airflow, BigQuery, Ray, Kubernetes, Kafka, GCP) is preferred.
- Familiarity with the Ads domain, Search, or Recommender systems is a strong plus.
- Tech leadership experience, including mentoring and leading complex projects, is preferred.
- Hands-on experience using, fine-tuning, or building LLMs is 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 tune/fine-tune large models.
- Build data processing and inference pipelines for developed models.
- Perform qualitative and quantitative evaluation of features, including end-to-end experimentation from internal benchmarks to downstream recommender system offline/online metrics.
- Ensure reliability, scalability, and performance of ML systems via automated testing, monitoring, and best practices.
- Participate in modeling and coding reviews to maintain team standards for quality and performance.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
View Full Description & ApplyYou'll be redirected to the employer's site
