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Selected role

AI / Machine Learning Engineer

Hidonix Industries Santa Monica, CA

$90k - $100k Senior Full-time

*We're Hiring! AI / Machine Learning Engineer

Location:**
Santa Monica | On-site

Employment Type
: Full-time

Experience Level
: 2-3 Years

Salary Range
: $90,000 - $100,000 Per year

Benefits:
Comprehensive Health Coverage

About The Role

Hidonix 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. This is a junior-level, in-person role suited for candidates with 2–3 years of experience and a solid foundation in deep learning, embeddings, and modern neural architectures.

As a member of the AI team, the ideal candidate will work on projects that leverage CNNs, transformer models, and embedding architectures to encode and reason over pose, facial, and action-based visual data. These systems support downstream tasks such as future action prediction, semantic matching, and similarity-based inference.

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

Qualifications

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
Transformer architectures and their applications in vision or multimodal learning
Embedding systems and vector space modeling for semantic and similarity-based tasks
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

Bonus (Nice-to-Have)

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

What we offer

Full Health Coverage
A collaborative and intellectually driven team environment
Flexible PTO

Equal Opportunity & Application Policy

We are an equal opportunity employer and welcome applicants from all backgrounds.

Please note:

We are currently not accepting applications from third-party recruiting services
We are not offering visa sponsorship for this role at this time. Applicants must be U.S. citizens or permanent residents (Green Card holders)
Candidates must reside within a commutable distance of Santa Monica, California.

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