AI / Machine Learning Engineer

We're Hiring! AI / Machine Learning EngineerLocation: Santa Monica | On-siteEmployment Type: Full-timeExperience Level: 2-3 Years Salary Range: $90,000 - $100,000 Per yearBenefits: Comprehensive Health CoverageAbout The RoleHidonix 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.ResponsibilitiesDesign and implement machine learning pipelines that encode visual input (pose, face, object/classification) into shared embedding spaces for similarity and predictive tasksBuild and fine-tune convolutional and transformer-based neural architectures optimized for visual recognition and representation learningDevelop 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 predictionContribute to model training, evaluation, and deployment workflows including data preprocessing, augmentation, hyperparameter tuning, and performance profilingCollaborate closely with engineers in computer vision, embedded systems, software, and UI/UX to ensure seamless integration of AI pipelines into real-time systemsProduce clean, well-documented code and maintain version-controlled model artifacts and experiment logsWrite technical documentation for models, training procedures, evaluation criteria, and system integrationQualificationsBachelor’s or Master’s degree in Artificial Intelligence, Data Science, Computer Science, Machine Learning, or a closely related discipline2–3 years of experience in machine learning roles through internships, academic labs, or early career positionsStrong understanding of:Convolutional Neural Networks (CNNs) for image and video-based tasksTransformer architectures and their applications in vision or multimodal learningEmbedding systems and vector space modeling for semantic and similarity-based tasksEncoding mechanisms and dimensionality reduction techniques for latent representationProficiency in Python and deep learning frameworks such as PyTorch or TensorFlowFamiliarity with pose estimation, facial recognition, or classification models (e.g., OpenPose, MediaPipe, FaceNet, ResNet variants)Experience training models with structured and unstructured visual datasetsExposure to techniques like cosine similarity, triplet loss, contrastive learning, or temporal prediction modelingStrong computer science fundamentals, including data structures, algorithms, and software design patternsComfort working in Linux-based development environments and version control systems (Git)A collaborative mindset, with excellent communication skills and a willingness to learn across domainsBonus (Nice-to-Have)Experience integrating vision-based AI models into embedded or robotics systemsFamiliarity with ONNX or TensorRT for model optimization and deploymentBackground in sequence modeling, recurrent architectures, or video-based action recognitionExposure to multimodal AI systems that blend image, pose, and metadata representationsFamiliarity with techniques like CLIP, DINO, or self-supervised representation learningExperience with MLOps or training orchestration tools such as MLflow, Weights & Biases, or DVCWhat we offerFull Health CoverageA collaborative and intellectually driven team environmentFlexible PTOEqual Opportunity & Application PolicyWe are an equal opportunity employer and welcome applicants from all backgrounds.Please note:We are currently not accepting applications from third-party recruiting servicesWe 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.