AI / Machine Learning Engineer

Hidonix Industries; Santa Monica (CA); On-site; USD 90,000 - 100,000; Full time

Benefits offered by this job

Full health coverage

Collaborative team

Flexible PTO

Job summary

Hidonix Industries in Santa Monica is seeking an AI / Machine Learning Engineer to design and implement intelligent vision and behavioral systems. This junior-level, in-person role targets candidates with 2–3 years of experience and a solid foundation in deep learning.

You will work with CNNs, transformers, and embedding techniques to encode pose and facial data for predictive tasks and real-time inference. The position offers full health coverage, a collaborative team, and flexible PTO.

Qualifications

• Bachelor’s or Master’s degree in AI/CS/ML or related field
• 2–3 years of experience in ML roles or internships
• Strong knowledge of CNNs, Transformers, and embedding systems
• Proficiency in Python with PyTorch or TensorFlow
• Familiarity with pose estimation, facial recognition, or classification models
• Experience with structured and unstructured visual datasets
• Exposure to contrastive learning or temporal prediction modeling

Responsibilities

• Design ML pipelines encoding visual input into shared embedding spaces for similarity and predictive tasks
• Build and fine-tune CNN/Transformer architectures for visual recognition and representation learning
• Develop encoding techniques for cross-data-type comparisons (pose, landmarks, labels)
• Apply cosine similarity, distance metrics, and latent clustering for behavioral inference
• Contribute to model training, evaluation, and deployment workflows
• Collaborate with CV, embedded systems, software, and UI/UX teams for real-time integration
• Produce clean code and maintain versioned model artifacts and experiments
• Write documentation for models, training procedures, and system integration

Skills

CNNs

Transformers

Embeddings

Python

PyTorch

TensorFlow

Pose estimation

Face recognition

Education

Bachelor’s or Master’s degree in AI/CS/ML

Tools

OpenPose

MediaPipe

ResNet

Job description

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.