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Today

Mid-Level AI & Machine Learning Engineer

Fieldwire San Francisco, CA

San Francisco, CA

Today

$170k - $195k/yr Full time AI Ai Engineer Ai/ml Developer

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Job Description

Fieldwire is seeking a Mid-Level AI & Machine Learning Engineer to adapt and deploy AI models that improve construction document and image understanding. The role focuses on building AI foundations, operating models within Fieldwire infrastructure, and turning complex visual inputs into usable, context-aware information.

Key Responsibilities

Architect, build, and maintain AI foundations across the full stack, embedding capabilities into core platform features
Evaluate and select open-source models, adapting them to domain-specific needs using fine-tuning, transfer learning, and lightweight training
Deploy and operate models in Fieldwire’s own infrastructure, including GPU-backed environments with a focus on inference performance, resource utilization, throughput, and latency
Build solutions for image understanding, including visual object detection, classification, and segmentation
Extract and interpret information from PDFs, scanned documents, images, and other complex visual content by combining OCR, document layout analysis, and multimodal models
Use AI and computer vision techniques to surface relevant, context-aware information within user workflows
Debug production issues across services and multiple layers of the stack
Contribute to improving engineering standards, tooling, and processes

Required Qualifications

Bachelor’s or Master’s degree in Computer Science or equivalent work experience
3+ years of experience in a Fullstack, Backend, AI Engineering, or Machine Learning role
Practical experience in machine learning, including training, evaluating, and deploying models
Hands-on experience with computer vision and image-processing techniques
Knowledge of the modern toolchain used to develop high-quality applications
Strong ability to write clean, well-tested, and modular code

Technologies and Tools

Open-source models
Fine-tuning and transfer learning
OCR and document layout analysis
Multimodal models, transformers, and vision-language models
GPU-backed environments
Rust, Ruby on Rails, and Angular

Preferred Additional Experience

Experience working with pretrained models and adapting them to domain-specific tasks via fine-tuning and transfer learning
Understanding of modern model architectures, including transformers and vision-language models
Experience with image and document processing, such as OCR, document layout analysis, or extracting structured information from PDFs and images
Experience building production systems, preferably using Rust, Ruby on Rails, or Angular

Compensation

Estimated pay range: USD 170,000 to 195,000 per year
The salary range reflects the low and high end of the range for this role in the US; minimums and maximums may vary by location
Final offer will consider skills, qualifications, and experience

Benefits

Corporate bonus potentially up to 30%

Location

This position is hybrid in San Francisco, California. The headquarters are based in San Francisco, with an office centrally located right off of Embarcadero Bart station.

Education

Bachelor’s or Master’s degree in Computer Science (or equivalent work experience).

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7d ago

AI ML Developer for Teamcenter PLM

Infosys San Jose, CA

San Jose, CA

7d ago

$78k - $146k/yr Full time Ai Ml Ai/ml Developer Engineering

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Job Description

This Technology Consultant role focuses on AI/ML-related software development and ongoing support across the full SDLC lifecycle. The work spans requirements discovery, design collaboration, implementation, validation, integration, and live troubleshooting, with a strong emphasis on documentation, defect reporting, and continuous learning.

Responsibilities

Assist in running targeted interviews and workshops to capture user needs, and ensure stakeholder requirements are documented accurately.
Participate in design discussions to capture software specifications and support the creation of process documentation.
Develop, refine, and document code for new software applications, following detailed design specifications to meet user requirements.
Execute test plans, analyze results, and report defects to the development team to support improvements in software performance.
Support integration of new software features, helping enable smooth transitions within the existing system infrastructure.
Monitor and troubleshoot live applications, ensuring timely issue resolution and maintaining comprehensive documentation for ongoing system maintenance.
Systematically document coding practices, testing methodologies, and technical solutions to strengthen the team’s knowledge repository.

Requirements

Agile mindset with effective communication and problem-solving skills.
Ability to work across most areas of the SDLC lifecycle.
Passion for innovating solutions that address progress and future challenges.
Proactive approach to monitoring and resolving production issues before they escalate.
Commitment to continuous learning, knowledge sharing, and supporting team development.

Assigned Job Role: Technology Consultant 1

In the assigned Technology Consultant 1 role, your area of responsibility includes the following activities across the development lifecycle:

Assist with targeted interviews and workshops to capture user needs and document stakeholder requirements.
Contribute to design discussions to define software specifications and help produce process documentation.
Build and refine code for new software applications, documenting work in line with detailed design specifications.
Run test plans, evaluate outcomes, and report defects to enable performance enhancements.
Support feature integration to facilitate smooth transitions within the existing system infrastructure.
Monitor and troubleshoot live applications and maintain documentation for ongoing system maintenance.
Document coding practices, testing methods, and technical solutions to expand the team’s knowledge base.

Your Contribution to the Team

Maintain an agile mindset supported by strong communication and problem-solving.
Contribute across major parts of the SDLC lifecycle.
Apply a forward-looking approach to innovation to meet emerging challenges.
Ensure early detection and resolution of production issues through proactive monitoring.
Strengthen team capability through continuous learning, knowledge sharing, and collaboration.

Location and Compensation

Location: San Jose, CA (onsite)
Salary: USD 78,302 to 146,416 per year

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Ai/ml Developer Jobs

Mid-Level AI & Machine Learning Engineer

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