Computer Vision Engineer - spectraforce : Job Details

Computer Vision Engineer

spectraforce

Job Location : Irvine,CA, USA

Posted on : 2025-08-04T10:08:56Z

Job Description :

Job Title: Data Scientist I – Computer Vision & Generative AI (Pharma R&D)

Location: Irvine, CA (Hybrid – Onsite Preferred)

Job Type: 12-Month Contract (W2)

Pay Range: $40/hr to $45/hr (Based on Experience)

About the Role

Join our Pharmaceutical R&D Innovation Team to develop cutting-edge Computer Vision (CV) and Generative AI models that solve real-world challenges in healthcare and aesthetics. As a Data Scientist I, you'll fine-tune CNNs, implement diffusion models, and deploy scalable AI solutions—bridging the gap between research and clinical impact.

Ideal Candidate: A hands-on problem-solver with 1–3 years of CV/AI experience (academic or industry) who thrives in collaborative R&D environments.

Key Responsibilities

  • Develop, train, and optimize CV models (CNNs, ViTs, GANs, diffusion models) for medical/aesthetic imaging.
  • Implement Generative AI techniques (e.g., synthetic data generation, image enhancement).
  • Translate academic research into production-ready code (e.g., reproduce SOTA papers).
  • Collaborate with ML engineers to deploy models on AWS cloud infrastructure.
  • Analyze and preprocess image datasets (e.g., radiology, dermatology) with Python/PyTorch.

Must-Have Qualifications

✅ Education: BS/MS in Data Science, Computer Vision, AI, or related field.

✅ Technical Skills:

  • Strong Python (PyTorch/TensorFlow, OpenCV, scikit-learn).
  • Experience with image-based ML (classification, segmentation, or generative tasks).
  • Familiarity with PostgreSQL and Linux environments.
  • ✅ Mindset:
  • Curious, adaptable, and able to communicate complex ideas clearly.
  • Passion for applying AI to healthcare/life sciences.

Nice-to-Have

  • Exposure to AWS/GCP, MLOps (Docker, MLflow).
  • Publications or projects in CV/Generative AI (GitHub/Kaggle links welcome).
  • Knowledge of 3D medical imaging (CT, MRI).

Apply Now!

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