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

Flexible PTO

Collaborative team environment

Job summary

Hidonix is hiring an AI/ML Engineer to design and implement intelligent systems that extract meaning from computer vision and behavioral data. This junior-level, in-person role targets candidates with 2–3 years of experience and a solid grounding in deep learning, embeddings, and modern neural architectures.

You'll work on CNNs, transformers, and embedding architectures to encode pose, facial, and action data for tasks like future action prediction and semantic matching.

Qualifications

• Bachelor's or Master’s in AI, DS, CS, ML or related field.
• 2–3 years of ML experience through internships, labs, or early roles.
• Strong knowledge of CNNs and Transformers for vision tasks.
• Embedding systems and vector space modeling expertise.
• Proficiency in Python and PyTorch or TensorFlow.

Responsibilities

• Design and implement ML pipelines encoding visual input into embedding spaces.
• Build CNNs and transformer architectures for visual recognition and representation.
• Develop encoding techniques for cross-type data comparisons (pose, facial data).
• Apply cosine similarity, distance metrics, and latent clustering for inference.
• Contribute to model training, evaluation, and deployment workflows.
• Collaborate with CV, embedded, software, and UI/UX engineers for real-time integration.
• Produce clean code and maintain versioned model artifacts and logs.
• Write technical documentation for models and training procedures.

Skills

CNNs

Transformer architectures

Embedding systems

Python

PyTorch

TensorFlow

OpenPose/MediaPipe

Git

Linux

Communication skills

Education

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

Tools

ONNX

TensorRT

MLflow

Weights & Biases

DVC

Job description

We're Hiring! AI / Machine Learning Engineer

Employment Type: Full-time

Experience Level: 1-2 Years

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

About The Role

Hidonix is seeking an 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 currentlynot accepting applications from third-party recruiting services
• We are not offering visa sponsorshipfor this role at this time. Applicants must beU.S. citizens or permanent residents (Green Card holders)
• Candidates must reside within a commutable distance of Santa Monica, California.