Staff Data Scientist

How you'll make an impact:

• Design, train, and optimize AI model architectures optimal for the application under consideration, using visual images, lidar and other different modalities 
• Deep understanding and experience with Convolutional Neural Networks, Vision Transformers, Self-Supervised and Contrastive Learning, Foundation Models, Generative Models, Diffusion Models, and Graph Neural Networks (GNNs) 
• Collaborate with software engineers to deploy models into production pipelines and APIs 
• Conduct research and stay updated on state-of-the-art advancements in Computer Vision and AI 
• Use MLOps best practices to track experiments, version datasets, and optimize training pipelines 

What we're looking for:

• Minimum of 7 years of experience in data science with proven track record of delivering high value projects 
• Strong understanding of modern Computer Vision techniques, including feature extraction, object detection, segmentation, and multi-view geometry 
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow 
• Experience working with large-scale visual datasets and pre-processing pipelines 
• Familiarity with GPU acceleration (CUDA, TensorRT) and optimizing models for real-time inference 
• Knowledge of MLOps tools (MLflow, Weights & Biases) for managing training and deployment 
• Strong problem-solving and analytical skills with the ability to work in a collaborative environment 
• Master’s or Ph.D. in Computer Science, AI, Machine Learning, or a related field 

Preferred Qualifications:

• Experience with 3D Computer Vision, LiDAR processing, or multi-modal AI 
• Hands-on experience with generative models, contrastive learning, and neural rendering 
• Exposure to transformer-based architectures and masked autoencoders 
• Knowledge of cloud-based AI deployment (AWS, Azure, or GCP) 

What you'll love:

• Comprehensive Medical, Dental, and Vision Coverage: 100% coverage for employees and 80% for their spouses and children 
• Health Reimbursement Account (HRA): 100% funded by AiDASH to cover medical deductibles 
• 401(k) Plan: Begin contributing after three months of employment to prepare for your future. Currently, no company match is offered 
• Parental Leave: Supportive parental leave with 16 weeks for primary caregivers and 4 weeks for secondary caregivers 
• Generous Vacation Policy: Accrue 20 vacation days per year, plus enjoy an additional flex holiday to celebrate whatever feels most important to you!
• Winter Break: From December 25th through January 2nd, we give everyone time off to recharge and enjoy time with family and friends!