Senior Research Engineer, Unlikely AI

Responsibilities:

• Implementing, deploying, and monitoring deep learning models, including LLMs.
• Optimising model deployments and designing deep learning model features systems.
• Conducting comprehensive performance evaluations, focusing on latency and accuracy across different implementations
• Communicating complex solutions to colleagues, facilitating collaboration and knowledge sharing.
• Analysing and inspecting large-scale datasets, effectively managing data scalability and integrity.

Requirements & Skills:

• 5 + years experience in a Machine learning/Research Engineer role
• Experience utilising & deploying deep learning models.
• Strong coding skills in Python, including the use of PyTorch or TensorFlow.
• Enthusiasm to learn and get up to speed with cutting-edge technologies that you may not already be deeply familiar with.
• Strong verbal and written communication skills.
• Experience with cloud infrastructure (e.g. AWS / GCP / Azure)
• Experience with MLOps, with strong expertise in Docker for containerization and orchestration.
• Knowledge of ML model deployment including technologies such as Torchserve, Sagemaker, or VertexAI
• Understanding of modern best practices for agile software development.
• Knowledge of the latest developments in NLP including LLMs and the transformer architecture
• SRE: An understanding of how to keep models stable and performant in production settings
• Experience with building CI/CD workflows.
• Experience working in a startup
• Experience with retrieval augmented generation for LLMs and semantic vector search
• Experience optimising model deployments in terms of latency and throughput
• Infrastructure-as-code tools, such as Terraform