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Flexible Visual Foxpro Programmer Jobs in California

HP IQ

Digital Design Engineer

San Francisco, CA · On-site

$107K - $155K/yr

Strong foundation in visual design, including layout, typography, hierarchy, color, and composition ... Flexible spending account * Life insurance * Generous time off policies, including; * 4-12 weeks ...

Costco Auto Program

Software Engineer

San Diego, CA · On-site

$120K - $125K/yr

NET programing(Visual Studio 2005 or greater) * Must have 2+ years experience with ASP/ASP.NET * ... Must be flexible and team-oriented * Must be able to work independently and as a team member * Must ...

Costco Auto Program

Software Engineer II

San Diego, CA · On-site

$123K - $130K/yr

NET programing (Visual Studio 2005 or greater) * Must have 2+ years' experience with ASP/ASP.NET * ... Must be flexible and team-oriented * Must be able to work independently and as a team member * Must ...

ASD Solutions

Database Developer

Edwards, CA · On-site

Visual C==/C# programming experience is a plus. General Skills: Possess excellent interpersonal and oral communication skills; handle multiple tasks; flexible in work assignments; and work with ...

ASD Solutions

Database Developer

Edwards, CA · On-site

Visual C==/C# programming experience is a plus. General Skills: Possess excellent interpersonal and oral communication skills; handle multiple tasks; flexible in work assignments; and work with ...

Image Engineering

Mechanical Design Engineer

Valencia, CA

$77K - $104K/yr

... in the visual display and special effects industry. Our strength lies in the broad range of ... Flexible Time Off Program * Paid Holidays * John Hancock 401(k) Retirement Plan * Company-Paid Life ...

Image Engineering

Mechanical Design Engineer

Valencia, CA · On-site

$77K - $104K/yr

... in the visual display and special effects industry. Our strength lies in the broad range of ... Flexible Time Off Program * Paid Holidays * John Hancock 401(k) Retirement Plan * Company-Paid Life ...

De Circle

UI/UX Engineer - Semiotic.ai

San Francisco, CA · On-site +1

$110K - $137K/yr

This role is ideal for someone who can bridge design and engineering, bringing strong visual ... Fully remote and flexible work environment. * Opportunity to shape the UI and UX of products that ...

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Flexible Visual Foxpro Programmer information

What is a flexible Visual FoxPro programmer?

A Flexible Visual FoxPro Programmer is a software developer skilled in using Microsoft Visual FoxPro, a data-centric, object-oriented programming language. This programmer specializes in building, maintaining, and updating database-driven applications, often for legacy systems. The 'flexible' aspect refers to their ability to adapt to different project requirements, integrate with various technologies, and work across multiple environments or platforms. Their expertise is valuable for organizations that rely on Visual FoxPro for business-critical applications and need ongoing support or modernization.

What are the key skills and qualifications needed to thrive as a flexible Visual FoxPro programmer?

To excel as a Flexible Visual FoxPro Programmer, you need strong programming skills in Visual FoxPro, database management, and a solid understanding of software development principles, typically supported by experience or a relevant degree. Familiarity with legacy systems, SQL, ODBC integration, and sometimes related tools like Microsoft SQL Server or migration frameworks is important. Problem-solving ability, adaptability, and effective communication are vital soft skills for managing client requirements and collaborating with cross-functional teams. These competencies ensure the ability to maintain, upgrade, and support legacy applications while meeting evolving business needs.

What are some common challenges flexible Visual FoxPro programmers face when working on legacy systems, and how can they overcome them?

Flexible Visual FoxPro Programmers often work with legacy applications that may lack comprehensive documentation, have outdated code structures, or require integration with newer technologies. These challenges can be managed by dedicating time to thoroughly understand the existing codebase, leveraging community forums for troubleshooting, and using modern tools to improve code quality. Regular communication with team members and stakeholders is also essential to clarify requirements and ensure compatibility with current systems.

What are the most commonly searched types of Visual Foxpro Programmer jobs in California?

The most popular types of Visual Foxpro Programmer jobs in California are:

What are popular job titles related to Flexible Visual Foxpro Programmer jobs in California?

For Flexible Visual Foxpro Programmer jobs in California, the most frequently searched job titles are:

What job categories do people searching Flexible Visual Foxpro Programmer jobs in California look for?

The top searched job categories for Flexible Visual Foxpro Programmer jobs in California are:

What cities in California are hiring for Flexible Visual Foxpro Programmer jobs?

Cities in California with the most Flexible Visual Foxpro Programmer job openings:

Flexible Visual Foxpro Programmer jobs near you
Infographic showing various Flexible Visual Foxpro Programmer job openings in California as of June 2026, with employment types broken down into 60% Full Time, 33% Part Time, and 7% Contract. Highlights an 93% In-person, and 7% Remote job distribution.

Machine Learning Engineer

Escalon Services, LLC.

Santa Monica, CA • On-site

$100K - $120K/yr

Full-time

Medical, PTO

Posted 28 days ago

Job description

Machine Learning Engineer
Application Deadline: 30 September 2026
Department: Recruiting Done
Employment Type: Full Time
Location: Santa Monica
Compensation: $100,000 - $120,000 / year
Description
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 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.
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
  • 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.
  • 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: $100,000 to $120,000 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

Apply