about 3 hours ago
Responsibilities
- Develop new or iterate on existing embedding models for advertising use cases.
- Work with local and 3rd-party LLMs/VLMs to extract representations and fine-tune models.
- Build data processing and inference pipelines for developed models.
- Conduct qualitative and quantitative evaluations of features and perform end-to-end experimentation.
- Ensure reliability, scalability, and performance of ML systems through automated tests and monitoring.
- Participate in modeling and coding reviews to maintain quality standards.
- Collaborate with cross-functional teams to understand and translate business requirements.
Requirements
- 5+ years of hands-on experience with the full lifecycle of designing, training, evaluating, testing, and deploying 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 like PyTorch or TensorFlow.
- Excitement about working with data and a readiness to analyze metrics.
Benefits
- Global Benefit programs that fit your lifestyle, including workspace and professional development support.
- Family Planning Support.
- Gender-Affirming Care.
- Mental Health & Coaching Benefits.
- Group Personal Pension Scheme with Employer match.
- Private Medical and Dental Scheme.
- Income Replacement Programs.
- Bike to Work scheme.
- Flexible Vacation & Paid Volunteer Time Off.
- Generous Paid Parental Leave.
Tech Stack
Categories
AI & MLData Science