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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 building AI foundations that help turn construction documents and images into usable information inside its platform. As a Mid-Level AI & Machine Learning Engineer, you will adapt and deploy AI models for document and image understanding, with a focus on model performance in production and context-aware outputs that fit users’ workflows.

This hybrid role is based in San Francisco, California, with Fieldwire’s headquarters centrally located off Embarcadero BART.

What you will do

Architect, build, and maintain AI foundations across the full stack, embedding capabilities into core platform functionality
Evaluate and select open-source models, then adapt them to domain-specific use cases using fine-tuning, transfer learning, and lightweight training
Deploy and operate models in Fieldwire’s infrastructure, including GPU-backed environments with an emphasis 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
Apply AI and computer vision techniques to surface relevant, context-aware information within users’ workflows
Debug production issues across services and multiple levels 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 modern toolchains used to develop high-quality applications
Strong ability to write clean, well-tested, and modular code

Technologies you may work with

Open-source models, fine-tuning, transfer learning
OCR, document layout analysis, multimodal models
Transformers, vision-language models
GPU-backed environments
Rust, Ruby on Rails, Angular

Preferred experience

Working with pretrained models and adapting them to domain-specific tasks through fine-tuning and transfer learning
Understanding 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 in Rust, Ruby on Rails, or Angular

Compensation

Estimated pay range: $170,000 - $195,000 per year
Actual salary offer will consider factors including skills, qualifications, and experience

Benefits

Corporate bonus with a range up to 30%

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5d ago

Arctic Mission Analyst / Forward Deployed AI Engineer

General Atomics Fort Wainwright, AK

Fort Wainwright, AK

5d ago

$100k - $171k/yr Full time Ai/ml Developer Artificial Intelligence Data Analysis

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Job Description

General Atomics (GA-Intelligence) is seeking an Arctic Mission Analyst / Forward Deployed AI Engineer to embed full time at NSA Alaska and the 611 AOC. The role supports government mission teams by building trusted working relationships and delivering AI-enabled analytic capabilities within the customer environment under accreditation and network constraints.

Location and Work Style

Location: Fort Wainwright, AK (hybrid)
Workstyle: Remote

Key Responsibilities

Embed full time as GA-Intelligence’s resident mission expert and forward deployed engineer at NSA Alaska and the 611 AOC, establishing trusted working relationships with counterparts at both organizations.
Develop, deploy, and sustain AI-enabled analytic capability directly in the customer environment while operating inside accreditation and network constraints rather than bypassing them.
Use large language models, machine learning, and automation to compress analyst workflows, including tipping and cueing, correlation, triage, reporting, and product generation.
Build and maintain fluency in local tradecraft at each site, including SIGINT production and dissemination practices at NSAA and air operations center battle rhythm, mission planning, and execution processes at the 611 AOC.
Maintain awareness of Arctic and high-latitude operations, including homeland defense and air sovereignty missions, approaches to the ADIZ, and maritime activity in the Bering and Arctic, with evolving threats and command relationships across NORAD & USNORTHCOM and subordinate organizations.
Identify opportunities to improve intelligence and operations tradecraft by introducing methods, tools, and analytic approaches that measurably enhance mission outcomes.
Translate operator and analyst feedback into clear, actionable requirements for engineering and research teams, and close the loop when capability ships.
Support test, evaluation, and refinement of capabilities against real-world mission use cases, exercises, and real-world events.
Drive user adoption through training, building trust in model outputs, and clearly communicating what the tooling can and cannot do.
Represent GA-Intelligence’s mission and technical capabilities to government stakeholders in theater and surface expansion opportunities back to the company.

Required Qualifications

Experience: Minimum 10 years of mission experience supporting SIGINT operations, air operations, or Homeland/Arctic defense, including direct experience at an NSA cryptologic center, an Air Operations Center, or a directly comparable operational environment.
Demonstrated working knowledge of the tradecraft at NSA Alaska and/or the 611 AOC, or a credible path to reach that fluency within the first 90 days.
Hands-on technical capability including Python, comfort with APIs, data pipelines, and notebooks, plus practical experience applying AI/ML or LLM-based tooling to operational problems.
Proven track record delivering capability into an operational environment and achieving user adoption.
Ability to operate independently at a remote site with limited on-site engineering support, including sound judgment on when to escalate.
Exceptional communication skills, including written, verbal, and presentation abilities.
Education: Bachelor’s Degree.
Willingness to relocate to and be based in Anchorage, AK full time, with travel to remote Alaska sites and CONUS as needed.
Citizenship: Yes, US citizen required.
Clearance: Yes, Top Secret required (current SCI access with CI Poly).

Technologies

Python
APIs
Data pipelines
Notebooks
Large language models
Machine learning
AI/ML
LLM-based tooling
Automation

Compensation and Employment

Pay: USD 99,500 - 170,750 per year
Employment Type: Full-Time (Salary)
Job Category: Product Support
Experience Level: Senior (8+ years)
Travel Percentage: 0% - 25%
Full-time/Part-time: Full-Time Salary

Benefits

Relocation Assistance Provided?

Preferred Skills

Experience as a forward deployed engineer or embedded technical lead with a government customer.
Familiarity with NORAD & USNORTHCOM mission sets, air defense operations, or Arctic domain awareness programs.
Experience deploying software or models within classified accreditation boundaries.
Background in data fusion, multi-INT correlation, or track-level analytics.

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Ai/ml Developer Data Jobs

Mid-Level AI & Machine Learning Engineer

Arctic Mission Analyst / Forward Deployed AI Engineer

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