Senior, ML Engineer - VLM

Job description

Job requirements

• Considered highly skilled and proficient in discipline ; conducts complex, important work under minimal supervision and with wide latitude for independent judgment.
• Scope of Influence: Expected to drive alignment across team interfaces to the rest of the organization. Designs, maintains, and owns team technical solutions and drives consensus.
• Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering, or related technical field plus competences typically acquired through 6+ years of experience;
• Computer Vision & Deep Learning — model training and at least two of: 2D/3D Object Detection, Tracking, Sensor Fusion, Semantic Segmentation, BEV, Depth Estimation.
• Multimodal / VLM experience — hands-on work with vision-language models, open-vocabulary or zero-shot recognition, dense captioning, or semantic embeddings / search applied to perception data.
• Model Data Curation — building targeted datasets that measurably improve downstream model performance; large-scale Parquet data processing (Databricks, Daft, Pandas, etc.).
• Distributed ML & data frameworks — PyTorch, Lightning, Ray, Spark, or equivalent for training and large-scale data processing.
• Scaled MLOps & Tooling — experiment tracking, model registry, MLflow / Weights & Biases, and ML metrics, evaluation, and quality.