Aicadium is looking for an early-career Computer Vision / ML Scientist who is motivated to conduct applied research that reaches production. You will join our Applied Research team and work alongside senior scientists on anomaly detection, zero- and few-shot recognition, and semantic segmentation, building on 2D and 3D vision foundation models and vision-language models (VLMs). Your models will be used by enterprise customers, and you will receive structured mentorship and dedicated time for skill development. This is a hybrid role based in San Diego, where our U.S. headquarters is located. The ideal candidate has strong fundamentals, learns quickly, and has a project, thesis, or publication that demonstrates both. Candidates who do not meet every requirement below but are strongly motivated by this work are encouraged to apply.
Responsibilities:
- Train and evaluate models, and implement validated methods for anomaly detection, zero- and few-shot recognition, semantic segmentation, and related tasks on real industrial image data.
- Run experiments under the guidance of senior scientists, including ablations and failure-case analysis, and summarize findings in clear write-ups and team presentations.
- Prepare periodic test datasets and help maintain data annotation and evaluation pipelines, including label review, sampling and dataset splits, and data-quality analysis.
- Review relevant research literature, share takeaways with the team, and translate useful ideas into small, focused experiments and prototype improvements.
- Contribute clear, tested, reproducible Python and PyTorch code, and work with engineers to transition models to production.
Skills & Requirements:
- Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, Robotics, Machine Learning, Mathematics, or a related field.
- Hands-on experience training and evaluating deep learning models for computer vision tasks such as object detection, segmentation, or anomaly detection on non-trivial datasets, through research, an internship, or a substantial project.
- Solid deep learning fundamentals: model training, optimization, loss design, evaluation, and generalization.
- Familiarity with modern vision foundation models and VLMs.
- Proficiency in Python and PyTorch, comfort working with Git and Linux-based GPU environments, and a strong grounding in linear algebra, probability, and statistics.
- Clear written and verbal communicator who seeks clarification proactively and incorporates feedback effectively.
Nice to Have:
- Publications or workshop papers in computer vision or machine learning.
- Exposure to 3D vision, such as point clouds, monocular depth estimation, multi-view geometry, or feed-forward 3D reconstruction.
- Experience with zero- or few-shot, self-supervised, or open-vocabulary methods.
- Experience with real-world (non-benchmark) datasets or annotation workflows.
Benefits
Aicadium has a great benefits package to come with your salary. Benefits include PTO, health, vision, and dental insurance, life and AD&D insurance, a 401(k) with matching, and more!
