Requirements:

5+ years of hands-on experience with the full lifecycle of designing, training, evaluating, testing, and deploying industry-level models.
Experience building NLP models and integrating them at scale.
Experience with mainstream DL frameworks: TensorFlow or PyTorch.
Excitement about working with data and readiness to look behind the metric numbers.

Nice to Haves:

Tech leadership experience: mentoring junior engineers and leading complex projects.
Experience with our stack (Python, Golang, Airflow, BigQuery, Ray, k8s, kafka, GCP/AWS)
Familiarity with the Ads domain and/or Search/Recommender systems is a strong plus.
Hands-on experience with using/fine-tuning/building LLMs.

Developing new or iterating on existing NLP algorithms and models for advertising use cases, such as NER, text classification, text embedding models, etc.
Building data processing pipelines & APIs that make the signals and annotations computed with those models available.
Hands-on help and consulting for the integration of contextual signals into downstream optimization models (Ad Targeting, Ad Ranking, etc.).
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.