MLE L5 – AR Veritas

Job Title – Machine Learning Engineer
Type – Contract
Location – Berlin, Germany
Duration – 12 Months (Extendable)

Key job responsibilities
Work directly with the science and engineering teams to build systems for provably correct AI reasoning with LLMs
Build a system that generates automatically annotated data with an existing reasoning engine (AI planner, simulator, proof planner)
Handle large-scale data annotations and automate pre/post-processing pipelines, including data lake management in S3 and compute resources.
Build pipelines for training and fine-tuning LLMs with data
Build an experimental test harness able to run experiments in multiple domains with the minimum of adaptation.
Take part in scrum development in an international setting (Berlin, Boston, and Seattle)

Basic qualifications
3+ years of experience with training/deploying deep learning/ML models (3+ years)
Strong knowledge of relevant ML tools (PyTorch, HuggingFace, SageMaker, vLLM )
Experience in scripting for automation (e.g. Python)
Experience using Cloud Storage and Computing technologies (AWS, EC2, S3, SageMaker, Lambda)
Capacity to independently lead and execute end-to-end insight projects, including asking the right questions, managing complex datasets, iterating on findings, and providing strategic guidance and recommendations to an engineering team
Ability to develop experimental and analytic plans for data modelling processes, use of strong baselines, ability to accurately determine cause and effect relations

Preferred Qualifications
Master’s degree in computer science
Experience with Reinforcement Learning and/or transformer-based models
Experience with theory and practice of design of experiments and statistical analysis of results
Experience programming to extract, transform, and clean large (multi-TB) data sets
Preferably located in or open to moving to Berlin