TheCorporate
Data Scientist
TheCorporateUnited States1 day ago
Full-timeRemote FriendlyEngineering, Information Technology
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

Key Skills

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