Data Scientist

Job Title: Data ScientistLocation: New York, NY (Hybrid)& Job Type: Full-TimeWe are seeking a Data Scientist to lead the design, training, and deployment of production-grade computer vision models. This role owns the full ML lifecycle from data strategy and experimentation to deployable models—while collaborating closely with a distributed ML team in a fast-paced startup environment.Key ResponsibilitiesDesign, train, and evaluate computer vision models for real-world use cases such as detection, tracking, and activity understanding.Own the end-to-end data lifecycle, including defining data requirements, guiding collection, improving labeling quality, and driving continuous dataset improvement.Build and maintain training pipelines and experimentation frameworks, including preprocessing, augmentation, and evaluation tooling.Contribute production-quality code and collaborate with ML and backend engineers to deliver deployable model artifacts and interfaces.Review and mentor other ML contributors, providing feedback on modeling decisions, experimentation rigor, and implementation quality.Partner with technical leadership to define research roadmaps, modeling strategies, and rollout plans.Prototype and evaluate new architectures, loss functions, and training strategies, transitioning successful approaches into production.Define performance metrics, validation processes, and monitoring strategies to ensure robustness in real-world environments.Operate effectively in a startup setting, rapidly iterating based on product needs and experimental results.& Requirements:3 years in computer vision or applied machine learningStrong experience with PyTorch/TensorFlow and modern CV architecturesEnd-to-end ownership of datasets and training pipelinesProduction-oriented engineering mindset and mentoring ability

Salary : $110