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
