AI Engineer

• Architect, design and develop RESTful API Endpoints, ensuring high performance, scalability and maintainability.
• Collaborate closely with front-end engineers to build dynamic, responsive, and user-centric web applications that deliver seamless user experiences.
• Define robust data models and database schemas, and manage relational or NoSQL databases with a strong emphasis on data integrity and performance optimization.
• Direct and govern AI coding agents across the delivery lifecycle, setting context, reviewing agent-generated output, and enforcing SEPS delivery standards at every gate.
• Design and maintain agent workflows using agentic coding tools (Claude Code, Cursor, Copilot) and the AI-native development framework, ensuring structured, auditable, and high-quality delivery.
• Configure and maintain prompt engineering patterns, structured output schemas, with rules and guardrails to align agent behavior with SEPS platform standards.
• Trace, debug, and triage agent tool calls, prompt failures, and unexpected outputs, maintaining visibility into AI-assisted delivery at every stage.
• Create and maintain clear, comprehensive documentation for application architecture, design, configuration, and ongoing maintenance.
• Provide accurate task estimations and delivery timelines, contributing to effective sprint planning and execution.
• Participate in the on-call rotation, responding promptly to production issues and ensuring system stability and uptime.
• Mentor and support junior engineers, fostering a culture of AI-native ways of working, learning, and continuous improvement.

Staff Software Engineer, AI Native

• Own Mercury's knowledge infrastructure
• Build the knowledge layer on top of Mercury's AI infrastructure
• Own the reporting layer
• Drive company-wide adoption of standardized systems and practices
• Continuously improve how Mercury captures, organizes, and uses knowledge

AI Context Operations Lead

• Design and build full-stack features, taking ownership from technical design through implementation, testing, deployment and ongoing operation.
• Develop responsive, accessible user interfaces and the backend services and APIs that power them.
• Lead the technical design of medium-to-large projects and break them into clear, actionable work for the team.
• Write well-tested, maintainable code and uphold engineering standards through thorough code review.
• Improve the performance, reliability, scalability and operability of the systems you own, including cloud infrastructure, deployment workflows and reduction of operational toil.
• Mentor engineers, share knowledge and help grow the technical skills of the team.
• Collaborate with product managers and designers to scope requirements and translate them into shippable solutions.
• Participate in an on-call rotation and contribute to a strong culture of operational excellence.
• Collaborate with Data Scientists and Machine Learning Engineers to make their models fast, accessible, transparent, and safe.
• Support reliable integrations with Azure Databricks, DevOps tooling and related data platform services where needed.

AI Software Engineer – IV

• Design, develop, and improve scalable infrastructure to support the next generation of AI applications
• Drive improvements in architecture, performance, and reliability
• Collaborate across hardware, software, and research teams
• Stay informed of the latest advancements in AI infrastructure

Senior Applied AI Engineer

• Design and build performance analysis tools and workflows for AI training and inference workloads.
• Understand how AI performance engineers work and translate their needs into scalable, intuitive tooling.
• Develop integrations between profiling infrastructure and AI frameworks and workflows.
• Collaborate with performance engineers, hardware architects, and software teams to ensure profiling capabilities align with real-world AI workloads.
• Identify performance bottlenecks in AI workloads and develop automated approaches to detect and diagnose them.

Senior Software Engineer, AI Performance Analysis

• Develop and maintain relationships with homebuyers, Realtors, builders, financial advisors, and referral partners.
• Guide borrowers through the mortgage process from application through closing.
• Analyze financial information and recommend appropriate loan solutions.
• Build and manage a consistent referral pipeline through networking and relationship development.
• Deliver exceptional customer service throughout the lending process.
• Maintain compliance with all federal, state, and company lending guidelines.
• Grow a sustainable book of business through outstanding client experiences and referral relationships.

Licensed Mortgage Loan Originator

• Own stakeholder relationships across Medbridge’s executive team, working with them to find the problems and AI enabled solutions that can expedite, or remove, the current blockers in the business.
• Design, build, and ship AI-powered features across our internal teams, from the user interface to the backend services and AI workflows behind it.
• Build full-stack applications using AI-native engineering workflows and tools such as Claude, Cursor, Codex, and OpenAI and Anthropic APIs.
• Develop APIs, backend services, and automation pipelines that support intelligent product capabilities and production-ready deployments.
• Apply software engineering, DevOps, and MLOps best practices to the testing, deployment, monitoring, evaluation, and optimization of AI solutions.
• Partner closely with our Product and Engineering teams to turn ambiguous goals into scalable internal products.
• Use AI tooling throughout your workflow (coding, code review, testing, and planning) and help push the team’s adoption forward.
• Research emerging AI technologies, LLM implementation patterns, and modern product engineering frameworks, and bring what works back to the team.
• Instrument what you ship and use usage data and evidence to decide what to build, fix, or kill next.

Product Engineer – AI

Machine Learning Engineer

• Build statistical models and production systems to balance advertiser performance with business goals.
• Tune optimization parameters, measure internal competition, and model dynamic environments.
• Design and run experiments to validate theories underpinning the mobile ad tech economy.
• Develop applications in the areas of advertiser budget retention and growth, optimal margin allocation, and bidding innovations.
• Collaborate with a team of world-class engineers with diverse backgrounds as well as peers across the broader company (e.g. Operations, GTM).
• Use strong communication skills (verbal and written) to explain statistical and machine learning concepts to both technical and non-technical audiences.
• Be part of an “engineering excellence” culture through state-of-the-art tools, risk-driven testing, explainable systems, and design/code review.

• Alpha-to-production ownership — take newly built agents from working v1 to production-ready: write evals, harden prompts and tool definitions, and refactor prototype scaffolding into clean, production-quality code.
• Observability & stability — instrument tracing, logging, and monitoring across the agent fleet so we catch regressions before our 120+ GTM users do.
• Deployment & infrastructure — stand up and maintain the pipelines that get agents into users' hands without surprises, owning environment parity and release hygiene on our GCP stack.
• Database administration — own how agents read from and write to our databases, safely and at scale.
• Fleet maintenance — monitor agent behavior in production, triage issues, and ship the steady stream of improvements that make an agent indispensable rather than just useful.
• Partner closely with the GTM AI team — free up our agent builders to stay in their zero-to-one wheelhouse while you own scale and reliability.
• Bring an outside point of view — tell us what we built wrong, and back it up with a plan to fix it.

GTM AI Engineer

Computer Vision Engineer

• Design and improve training pipelines to support faster, continuous model iteration
• Enable scalable experimentation across datasets, model architectures, and training strategies
• Improve reproducibility, experiment tracking, and comparison of training runs
• Build and refine workflows for: Data indexing, curation, and preprocessing
• Label quality validation and dataset management
• Data exploration for targeted labeling
• Develop evaluation and tests that reflect real-world operating conditions
• Improve synthetic data workflows to support targeted model improvement
• Train, evaluate, and iterate on computer vision models for: Detection, segmentation, classification, tracking
• Continuously explore and evaluate: new model families and research directions
• Incorporate multi-modal inputs including: Multiple image bands, Platform and sensor metadata (range, angles, telemetry, etc.)
• Optimize models for deployment on embedded GPU platforms like Nvidia Jetson
• Balance accuracy, latency, and resource constraints for real-world, real-time workflows

Senior Machine Learning Engineer, Computer Vision

• Design, develop, and deploy machine learning models and AI-powered applications
• Collaborate with cross-functional teams to identify and implement AI/ML solutions for client needs
• Build and maintain data pipelines, model training workflows, and inference systems
• Evaluate and integrate large language models (LLMs), generative AI tools, and emerging AI frameworks
• Monitor model performance, conduct testing, and iterate on improvements
• Document technical architectures, methodologies, and best practices
• Stay current with AI/ML research and translate advancements into practical applications

• Build full-stack AI applications using React, JavaScript/TypeScript, and Python
• Develop both rapid prototypes and production-ready applications
• Integrate AI capabilities using OpenAI APIs and related AI services
• Design and implement frontend interfaces, backend APIs, database interactions, and application workflows
• Deploy and manage applications using tools such as Vercel and AWS
• Work with Supabase for backend services such as authentication, database management, storage, and APIs
• Use AI-assisted development tools such as Cursor, v0, Codex, and Claude Code to accelerate development
• Debug, test, document, and improve applications for performance, reliability, and usability
• Collaborate with product, strategy, design, and technical teammates to move ideas from concept to shipped product

AI Full Stack Developer

• Design, train, and deploy robust policies for locomotion, manipulation, and dynamic interactions with the environment.
• Develop core reinforcement learning infrastructure, including scalable training pipelines and evaluation frameworks.
• Design and implement new simulation environments and tasks to support training and deployment of control policies.
• Develop, design, and test imitation learning methods
• Collaborate with Robotics Software and AI engineering teams to develop policies which can be transferred to production

Senior AI Research Engineer

• Build and maintain shared infrastructure: secure web app hosting infrastructure, MCP/API standards, secret/key management, model selection, guardrails, and a centralized pattern library that all builders across the organization can pull from.
• Own the review, tracking, and advisory process for all corporate AI and automation builds — MCP servers and tool configurations, Claude Skills, API integrations, and agentic workflows — before deployment.
• Partner directly with AI specialists across departments to identify, scope, and build AI and automation solutions that meet high standards for cost, security, and scalability security before they ship.
• Define and maintain the secure intake path for AI and automation requests across the organization, replacing ad-hoc builds and shadow IT with a governed, cost-effective, and scalable process.
• Contribute to the organization’s AI cost efficiency by monitoring, alerting, and setting thresholds on AI spend across usage-based tools and platforms.

AI & Automations Lead

• Use Claude Code to implement new features and functions within the platform
• Translate product requirements and design specs into clean, production-ready code
• Review and refine AI-generated code to ensure correctness, performance, and maintainability
• Leverage AI to write and update automated tests for all new functionality
• Participate in async code reviews and provide constructive feedback
• Ensure new features, APIs, and architectural decisions are documented as they are built
• Proactively identify technical debt or gaps and surface them to the team

AI Software Developer

• Build and operate the real-time inference service that scores models for the risk decision engine, with low latency and high availability as first-class requirements
• Own model deployment infrastructure — registry and versioning, CI/CD with performance, bias, and consistency checks, shadow mode, and staged rollouts
• Build model observability: availability, latency, and error monitoring, plus drift detection as a retraining trigger
• Partner with Risk Data Science to take models from a clean development-to-production handoff through to production operation under MLP ownership
• Implement experimentation capabilities such as champion/challenger and canary routing, and explainability outputs like SHAP attributions
• Feel a strong sense of product ownership and actively seek responsibility — we self-organize on small and medium projects, and we want someone excited to help shape and build a brand-new platform team

Senior Machine Learning Operations Engineer

• Develop tailored user experiences using advanced LLMs and predictive analysis
• Collaborate on ML solutions across Workday’s product ecosystem
• Enable training, deployment, and management of various ML models
• Develop and deploy new products at scale

Principal AI Engineer

• Build evaluation benchmarks and metrics
• Build and iterate on agent harness, including context engineering, agent memory, tools, skills
• Develop robust, reproducible training workflows from data ingestion and preprocessing through model checkpointing and deployment
• Design RL environments and reward functions
• Debug and optimize training runs
• Conduct training runs to improve model capabilities for agentic applications

AI Research Scientist

• Engage in relevant research and development (R&D) of AI systems, models, and advanced machine learning algorithms that augment physics-driven modeling and simulation systems
• Explore and implement AI-powered simulation tooling in support of AI workflows through reinforcement learning, multi-agent systems, and hybrid modeling approaches
• Collaborate with research, engineering, and product teams to build AI-powered solutions that meet mission-critical modeling and decision-support needs
• Engage in and support the drafting and review of conference and journal articles and presentations, sharing advances with both internal stakeholders and the wider research community.
• Contribute content to technical invention disclosures, including associated narrative, graphics, and engagements in support of patent development
• Perform additional responsibilities (no more than 10% of duties) in support of the company’s technology and product development initiatives.

AI Research Scientist, Applied AI

• Build and nurture relationships with AI developers, data scientists, and technical communities worldwide
• Present at conferences, meetups, and industry events to showcase Intel's AI technologies and developer tools
• Develop compelling technical content including blog posts, tutorials, videos, and documentation
• Act as the voice of developers within Intel, influencing product roadmaps and developer experience improvements
• Drive adoption of Intel AI platforms by creating resources, samples, and best practices that accelerate developer success
• Engage with the developer community to position Intel as the platform of choice for AI development

Machine Learning Engineer jobs in Oregon

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Staff Software Engineer, AI Native

AI Context Operations Lead

AI Software Engineer – IV

Senior Applied AI Engineer

Senior Software Engineer, AI Performance Analysis

Licensed Mortgage Loan Originator

Product Engineer – AI

Machine Learning Engineer

GTM AI Engineer

Senior Machine Learning Engineer, Computer Vision

AI Engineer

AI Full Stack Developer

Senior AI Research Engineer

AI & Automations Lead

AI Software Developer

Senior Machine Learning Operations Engineer

Principal AI Engineer

Machine Learning Engineer

AI Research Scientist, Applied AI

AI Developer Evangelist