Hidonix Industries · 13 hours ago
AI / Machine Learning Engineer
Santa Monica, CA
Full-time
Onsite
Entry Level
$90K/yr - $110K/yr
2+ years expHidonix Industries is seeking an AI / Machine Learning Engineer to help design and implement intelligent systems that extract meaning and predictive value from computer vision and behavioral datasets. The role involves working on projects that leverage CNNs, transformer models, and embedding architectures for visual data processing and predictive tasks.
Artificial Intelligence (AI)ConsultingInformation Services
No H1B
U.S. Citizen Only
Responsibilities
Design and implement machine learning pipelines that encode visual input (pose, face, object/classification) into shared embedding spaces for similarity and predictive tasks
Build and fine-tune convolutional and transformer-based neural architectures optimized for visual recognition and representation learning
Develop encoding and embedding techniques that allow consistent comparison across multiple data types (e.g., pose vectors, facial landmarks, class labels)
Apply techniques such as cosine similarity, distance metrics, and latent clustering to perform behavioral inference and action prediction
Contribute to model training, evaluation, and deployment workflows including data preprocessing, augmentation, hyperparameter tuning, and performance profiling
Collaborate closely with engineers in computer vision, embedded systems, software, and UI/UX to ensure seamless integration of AI pipelines into real-time systems
Produce clean, well-documented code and maintain version-controlled model artifacts and experiment logs
Write technical documentation for models, training procedures, evaluation criteria, and system integration
Qualification
Required
Bachelor's or Master's degree in Artificial Intelligence, Data Science, Computer Science, Machine Learning, or a closely related discipline
2–3 years of experience in machine learning roles through internships, academic labs, or early career positions
Strong understanding of Convolutional Neural Networks (CNNs) for image and video-based tasks
Strong understanding of Transformer architectures and their applications in vision or multimodal learning
Strong understanding of Embedding systems and vector space modeling for semantic and similarity-based tasks
Strong understanding of Encoding mechanisms and dimensionality reduction techniques for latent representation
Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
Familiarity with pose estimation, facial recognition, or classification models (e.g., OpenPose, MediaPipe, FaceNet, ResNet variants)
Experience training models with structured and unstructured visual datasets
Exposure to techniques like cosine similarity, triplet loss, contrastive learning, or temporal prediction modeling
Strong computer science fundamentals, including data structures, algorithms, and software design patterns
Comfort working in Linux-based development environments and version control systems (Git)
A collaborative mindset, with excellent communication skills and a willingness to learn across domains
Preferred
Experience integrating vision-based AI models into embedded or robotics systems
Familiarity with ONNX or TensorRT for model optimization and deployment
Background in sequence modeling, recurrent architectures, or video-based action recognition
Exposure to multimodal AI systems that blend image, pose, and metadata representations
Familiarity with techniques like CLIP, DINO, or self-supervised representation learning
Experience with MLOps or training orchestration tools such as MLflow, Weights & Biases, or DVC
Benefits
Comprehensive Health Coverage
Full Health Coverage
Unlimited PTO
Company
Hidonix Industries
At Hidonix, we design and deploy full-stack systems — hardware, autonomy, sensing, and software — that protect people, data, and national security.
11-50 employees
Funding
Current Stage
Early StageLeadership Team
Achille De Pasquale
CTO
Recent News
2025-12-22
2025-05-17
Company data provided by crunchbase