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About the Role
Drive applied R&D in computer vision and machine learning for industrial applications, managing the full research lifecycle from ideation to validation with real-world data.
Responsibilities
- Research, prototype, and develop state-of-the-art computer vision and deep learning models for detection, segmentation, tracking, and vision-language tasks.
- Translate recent research into working implementations, reproducing baselines, running ablations, and quantifying practical tradeoffs.
- Own the full data lifecycle for visual tasks, including dataset curation, annotation strategy, augmentation, synthetic data generation, and quality analysis.
- Collaborate with engineering and product teams to transition models from prototype to production, optimizing for edge or latency-constrained environments.
- Communicate methods, results, and tradeoffs clearly to both technical and non-technical stakeholders.
Requirements
- Master’s or PhD in Computer Science, Electrical Engineering, Robotics, Machine Learning, or a related field, or a Bachelor’s with equivalent research or industry experience.
- Strong foundation in modern computer vision and deep learning, including CNNs, Vision Transformers, vision-language models, and foundation models.
- Solid grasp of deep learning fundamentals: supervised and self-supervised learning, representation learning, optimization, loss design, and rigorous model training and evaluation.
- Demonstrated ability to read, implement, and build on recent research papers.
- Hands-on experience with real-world visual data, including dataset curation, annotation, augmentation, synthetic data, data-quality analysis, and low-data or noisy-data settings.
- Strong applied mathematics (linear algebra, probability, statistics, optimization).
- Proficiency in Python with PyTorch or equivalent deep learning framework.
- Strong collaboration and communication skills.
- Ability to work across research, engineering, and product teams.
- Ability to present technical work clearly to mixed audiences.
Skills
- Computer Vision
- Machine Learning
- Deep Learning
- Image Classification
- Object Detection
- Segmentation
- Tracking
- CNNs
- Vision Transformers
- Vision-Language Models
- Foundation Models
- Supervised Learning
- Self-Supervised Learning
- Representation Learning
- Optimization
- Model Training
- Model Evaluation
- Python
- PyTorch
- Applied Mathematics
- Linear Algebra
- Probability
- Statistics
- Robotic Vision
- Vision-Language-Action Systems
- World Models
- Imitation Learning
- Reinforcement Learning
- Generative Models
- 3D Geometry
- Camera Models
- Coordinate Frames
- Calibration
- Model Compression
- Quantization
- ONNX
- TensorRT
- Latency Optimization
Location
- San Diego, CA
Work Type
- Hybrid
- Full-time
Experience Level
- Senior
Education Level
- Master's Degree
- PhD
- Bachelor's Degree
Benefits
- PTO
- Health insurance
- Vision and Dental Insurance
- Life and AD&D
- 401k with matching
About the Company
- Aicadium is a global technology company delivering AI-powered industrial computer vision products.
- With offices in Singapore and San Diego, California, Aicadium operationalizes AI within organizations where advanced machine learning innovations were previously out of reach.
- Join a growing team of data scientists, machine learning, and software engineers in an agile development environment.
- Work together to tackle challenging projects and operationalize solutions across various industries and use cases.
- We work in a casual and collaborative startup environment.
- Every team member plays a key role in shaping solutions and creating positive business value.
- We are building a hub of the best talent in San Diego, CA.