Senior Lead ML Encoder

Aquent Talent is seeking a Senior Lead ML Encoder to architect and optimize encoder-based machine learning models powering digital talent solutions. In this role, you will lead end-to-end development of representation learning systems for search, recommendation, and matching across large-scale creative and marketing datasets. You'll partner closely with product, engineering, and data teams in a people-first, inclusive environment that values experimentation and continuous learning. This hybrid role offers the opportunity to shape ML strategy, mentor engineers, and drive impactful AI capabilities for global clients.

Responsibilities

• Design, build, and optimize ML encoder architectures for search, matching, and recommendation across creative and digital talent data
• Lead end-to-end model lifecycle from data exploration and feature engineering to training, evaluation, and deployment
• Collaborate with product, engineering, and data teams to translate business needs into scalable ML solutions
• Implement robust evaluation frameworks, A/B tests, and monitoring for model performance and fairness
• Mentor other ML engineers and contribute to best practices, code reviews, and documentation
• Optimize models and pipelines for performance, latency, and cost in cloud-based environments
• Ensure responsible AI practices, including bias detection, interpretability, and data privacy compliance

Required Skills

• Machine learning model development
• Encoder and representation learning (e.g., transformers, embeddings)
• Python programming
• Deep learning frameworks (Tensor
• Flow or Py
• Torch)
• Data preprocessing and feature engineering
• ML pipeline development and MLOps
• Cloud platforms (AWS, GCP, or Azure)
• Experimentation and A/B testing
• Model evaluation, monitoring, and optimization
• Search, ranking, or recommendation systems