Hiring: Senior, ML Engineer - VLM Company: Torc Robotics Location: Ann Arbor, MI Job Posted Time: 2026-09-11 10:25:48 Employment Type: Full-time Target Skills & Keywords : AWS, Accessibility, CV, Computer Vision, Databricks, Deep Learning, Docker, DynamoDB, ECS, GitHub Actions, LLM, Lambda, MLOps, MLflow, Model Registry, Pandas, Parquet, PyTorch, Python, REST, S3, Spark, Step Functions, Terraform, vLLM About the job Experience: •6+ years of experience; OR Master’s Degree in a related technical field plus competences typically acquired through 3+ years of experience. Qualifications: •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. •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. •Development Tools & Eco-System (at scale) — strong Python software development, VDI and cloud-based development environments, CI systems (GitHub Actions), and Docker. •End-to-end / VLA driving — familiarity with VLM/VLA or end-to-end driving models, trajectory and action grounding, or chain-of-causation / reasoning-trace datasets. •Auto-labeling foundation models — experience with segmentation, open-vocabulary detectors, or VLM/LLM-driven data engines for annotation and verification. •High-throughput model serving — vLLM, SGLang, or similar for batch auto-labeling and inference at scale. •Semantic inference & retrieval — attribute mapping, semantic search, and vector databases (e.g., LanceDB) for automotive data. Compensation: •$177,300 - $212,800 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!