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Machine Learning Engineer
Job Location:
Job Location:
Santa Monica, CA - USA
Yearly Salary:
USD 100000 - 120000
Yearly Salary:
Posted:
7 August 2026 (11 hours ago)
Posted:
Application Deadline:
4 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
About Our Client
Our client is a technology company developing next-generation intelligent systems at the intersection of AI XR robotics autonomy and spatial computing. Their products support mission-critical applications across defense public safety and critical infrastructure. They are seeking passionate professionals who thrive in fast-paced environments and enjoy building impactful products from concept to deployment.
The Role
Our client is seeking a 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 23 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.
Key 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 Knowledge and Expertise
- Bachelors or Masters degree in Artificial Intelligence Data Science Computer Science Machine Learning or a closely related discipline.
- 23 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.
- Strong understanding of transformer architectures and their applications in vision or multimodal learning.
- Strong understanding of embedding systems and vector space modeling for semantic and similarity-based tasks.
- Strong understanding of 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.
Other Requirements:
- Must be a US Citizen or a valid Green Card holder. Visa sponsorship is not available for this role at this time.
- Candidates must reside within a commutable distance of Santa Monica California.
Benefits
- Compensation: $100000 to $120000 per year
- Comprehensive health coverage and flexible PTO
- Opportunity to work on innovative AI robotics XR and autonomous technologies
- Collaborative multidisciplinary engineering environment
- Career growth and professional development opportunities
Required Experience:
IC
About Company
Escalon provides your company an experienced, one-stop shop for all your essential business services. Escalon Services Provides financial outsourcing sevices, Accounting services, Tax management services.
