In-Person ML Engineer: Vision & Embedding Systems

Escalon Services, Inc.; Santa Monica (CA); On-site; USD 100,000 - 120,000; Full time

Benefits offered by this job

Health coverage

Flexible PTO

AI/robotics projects

Job summary

Escalon Services, Inc. is seeking a junior-level Machine Learning Engineer in Santa Monica to design and implement intelligent systems that extract meaning from visual data. The role targets 2–3 years of experience with deep learning, embeddings, and modern neural architectures.

The candidate will work on CNNs, transformer models, and embedding architectures to encode pose, facial, and action-based data for future action prediction and semantic matching in a hands-on, in-person setting.

Qualifications

• Bachelor's or Master's degree in Artificial Intelligence, Data Science, Computer Science, Machine Learning, or a closely related discipline.

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 behavioural 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 artefacts and experiment logs.
• Write technical documentation for models, training procedures, evaluation criteria, and system integration.

Skills

2–3 years experience

CNNs

Transformer architectures

Embedding systems

Encoding mechanisms

Python

Git

Linux

Communication skills

Education

Bachelor's or Master's in AI/Data Science/CS

Tools

Python

PyTorch

TensorFlow

OpenPose

MediaPipe

FaceNet

ResNet variants

Git

Linux

Job description

Escalon Services, Inc. is seeking a junior-level Machine Learning Engineer in Santa Monica to design and implement intelligent systems that extract meaning from visual data. The role targets 2–3 years of experience with deep learning, embeddings, and modern neural architectures.

The candidate will work on CNNs, transformer models, and embedding architectures to encode pose, facial, and action-based data for future action prediction and semantic matching in a hands-on, in-person setting.