Data Scientist

Job Title: Data Scientist

Location: New York, NY (Hybrid)

Job Type: Full-Time

We 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 Responsibilities

• Design, 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 learning
• Strong experience with PyTorch/TensorFlow and modern CV architectures
• End-to-end ownership of datasets and training pipelines
• Production-oriented engineering mindset and mentoring ability
  
  

Skills: pipelines,code,models,training,ml,design,modeling,artifacts,computer vision,data