Machine Learning Engineer Remote Jobs in Oregon (US)
This page tracks remote machine learning engineer openings that are location-eligible for Oregon.
This page tracks remote machine learning engineer openings that are location-eligible for Oregon.
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We are a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health.
• Design, build, and deploy agent-based AI systems that improve the quality and reliability of clinical data extraction in production. • Own technical design and delivery for agent workflows. • Integrate new AI capabilities into existing production platforms with attention to performance, scalability, and cost. • Partner with clinical AI, engineering, and product teams to prioritize problems, define success metrics, and ship incremental improvements. • Develop evaluation and monitoring approaches to measure impact, guide iteration, and support safe deployment in a regulated environment. • Provide technical leadership through clear documentation, design decisions, and pragmatic tradeoffs across accuracy, cost, and delivery timelines.
Boulevard powers the next generation of salons and spas so it’s easier for everyone to look and feel their best.
• Extend, optimize, and maintain core data models that support customer-facing reports, machine learning, and generative AI workloads. • Build and operationalize ML and AI workflows that streamline operations, reduce manual effort, and improve customer and business outcomes. • Partner with engineering, product, and analytics teams to deliver seamless integrations and customer-facing data products. • Implement data quality, observability, and governance frameworks to ensure reliable, well-managed data at scale. • Document data flows, integration contracts, and operational runbooks to support efficient scaling and handoff.
EmployBridge provides job opportunities and workforce solutions through its specialty divisions, which include Remedy, Westaff, RemX, Select, ProDrivers, ProLogistix, and ResourceM
Role Description We're looking for engineers who want to work at the frontier of how software gets built. As an AI-First Software Engineer — what Silicon Valley increasingly calls an AI Builder — you won't spend your day writing code line by line. You'll spend it designing robust systems, writing gap-free specifications, directing AI agents to produce production-grade code, and validating that every output meets enterprise standards. The job is architecture, not syntax. - Architect & Specify - Design end-to-end system architectures spanning mobile (Flutter), web (React), backend (Java/Spring Boot), and cloud infrastructure (AWS). - Write detailed, gap-free specifications precise enough for AI agents to generate production-ready code on the first pass. - Decompose complex features into dependency-ordered tasks optimized for agentic execution. - Orchestrate & Generate - Direct AI coding agents (such as Claude and Claude Code) to deliver complete, working implementations. - Run agentic workflows where AI orchestrates AI — one model designing the specification, another executing it. - Drive rapid generate-and-validate cycles measured in minutes, not days. - Validate & Ship - Review AI-generated code for correctness, security, and architectural alignment. - Catch hallucinations and specification gaps early, before they compound. - Guarantee production quality: sound error handling, consistent patterns, enterprise-grade reliability. - Evolve the Methodology - Contribute to our AI-first development practices and documentation. - Identify patterns that raise AI output quality and shrink iteration cycles. - Help scale this approach across the engineering organization. Qualifications - 5+ years of professional software engineering experience, with principal-level depth in at least one domain (mobile, web frontend, backend services, or infrastructure). - Full-stack literacy — you can read, understand, and validate code across Flutter/Dart, React/TypeScript, Java/Spring Boot, SQL, and cloud infrastructure, even where you haven't shipped production code in all of them. - Systems thinking — you instinctively trace how a UI change ripples to the API, the schema, query performance, and production behavior. - Exceptional written communication — you can write a 500-line technical specification with zero ambiguity. Precision in language is a core engineering skill here. - Fast pattern recognition — you spot wrong code, missing edge cases, and architectural problems in seconds, not hours. - AI fluency — you're already comfortable building with AI agents and want to push how far the approach goes. - Comfort with ambiguity and rapid change — this is a new way of working, and you'll help define it. Requirements - Enterprise software experience (staffing, HR tech, workforce management, or similar domains). - Hands-on use of agentic coding tools (Claude Code, Cursor, GitHub Copilot, or similar). - Mobile development background (Flutter, React Native, or native iOS/Android). - Microservices architecture and API design. - AWS experience (EKS, RDS, MSK/Kafka, Lambda, or similar). - A track record in small, high-output teams. Benefits - Competitive base salary plus monthly bonus potential. - Comprehensive Medical, Dental & Vision benefits starting on the first of the month following hire date. - Pet Insurance starting on the first of the month following hire date. - 8 Paid Holidays per year. - Paid Time Off. - 401(k). - Wellness Program. - Parental Leave.
We build space simulation and analytics solutions to bring clarity to complex environments and create a safer world.
• 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.
6sense Revenue AI™ reimagines the way revenue teams create, manage and convert pipeline into revenue.
• Lead and Scale a High-Performing Pod • Own the AI Orchestration Layer • Modernize the Developer Experience • Define Evaluation and Trust Standards • Lead Foundational Model Strategy • Be a Strategic Partner to Leadership
Headquartered in Seattle, Washington, Avalara has been disrupting the world of sales tax management since its inception in 2004. Since the company was founded, its dedicated team h
Role Description Avalara is looking for an AI Automation Engineer to help build an enterprise-grade automation ecosystem that improves how work is automated, orchestrated, governed, and scaled across the company. In this high-impact individual contributor role, you will use n8n as a core platform to design secure, reliable, and measurable automation solutions that reduce manual work, improve process quality, and support faster business transformation. You will work across functions to embed artificial intelligence-enabled workflows, intelligent decisioning, reusable automation patterns, and observability into enterprise processes. You will help Avalara raise its automation standards by building practical solutions, mentoring others, and improving how teams use artificial intelligence to increase productivity, quality, and operational scale. You will report to Sr Director, IT Support. Responsibilities - Engineer scalable, secure, and resilient automation solutions using n8n and related integration platforms. - Design hybrid automation patterns using n8n, Boomi, application programming interfaces, event-driven systems, and artificial intelligence agents. - Build artificial intelligence-enabled workflows that support intelligent decisioning, human-in-the-loop controls, prompt management, and model integrations. - Define development standards, reusable templates, exception handling, retry strategies, approval patterns, and security protocols for enterprise automation. - Implement environment strategies, continuous integration and continuous delivery pipelines, versioning, and governance models for automation workflows. - Establish logging, monitoring, reliability guardrails, anomaly detection, and alerting to improve uptime, workflow trust, and recovery time. - Define responsible artificial intelligence governance for model selection, cost controls, prompt and version management, data privacy, and auditability. - Lead technical design sessions, workflow reviews, architecture reviews, and post-incident reviews. - Mentor engineers, contractors, and implementation teams on automation design, artificial intelligence agents, prompt engineering, and responsible automation practices. - Use metrics such as adoption, cycle-time reduction, service levels, recovery time, cost per workflow, and business impact to guide improvement. Qualifications - Bachelor's degree in Computer Science Engineering. - 10+ years of experience in enterprise automation, workflow engineering, integration engineering, or platform architecture. - Deep hands-on experience with n8n or Boomi, including building cross-functional automations, artificial intelligence-enabled workflows, agents, and orchestration patterns. - Experience designing application programming interface-first and event-driven architectures, including REST, webhooks, OAuth, JSON Web Tokens, application programming interface security, and secure integration of artificial intelligence services. - Experience with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including artificial intelligence or machine learning services such as Amazon Bedrock or Azure OpenAI. - Applied experience using large language models, prompt engineering, artificial intelligence agents, observability, monitoring, and automation metrics to improve productivity, reliability, quality, scale, cost, or cycle time. Benefits - Total Rewards: In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses. - Health & Wellness: Benefits vary by location but generally include private medical, life, and disability insurance. - Inclusive culture and diversity: Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship. Company Description Avalara is an AI-first Company. AI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability. You’ll bring experience using AI and AI-related technologies, ready to thrive here. You’ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers. You’ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too. We’re defining the relationship between tax and tech. We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world. We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too. We’re An Equal Opportunity Employer. Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.
Role Description We are seeking an experienced AI Engineer focused on Agentic AI and Workflow Automation to architect, build, and deploy intelligent systems that could transform our business. This role will be responsible for designing and implementing AI agents, autonomous workflows, and enterprise automation systems that drive operational efficiency, reduce cycle times, improve borrower and broker experience, enhance compliance, and increase EBITDA through scalable automation. The ideal candidate combines expertise in LLMs, agentic architectures, orchestration frameworks, and workflow automation with a practical understanding of enterprise systems integration and regulated financial services environments. Essential Duties and Responsibilities - Agentic AI Architecture & Development - Design, develop, and deploy AI agents and multi-agent systems to automate mortgage workflows across the loan lifecycle. - Build intelligent orchestration frameworks capable of autonomous decision support, task execution, and workflow routing. - Develop AI copilots and internal assistants for underwriting, loan processing, sales, operations, secondary markets, compliance, capital markets, and executive leadership. - Create AI-powered exception handling and escalation frameworks for complex loan scenarios. - Workflow Automation - Identify, redesign, and automate high-friction operational workflows across the mortgage platform. - Develop automation solutions for loan intake, document classification, income and asset analysis, credit review, conditions management, broker communication, borrower engagement, QC and compliance reviews, and post-close processes. - LLM & AI Engineering - Implement Retrieval-Augmented Generation (RAG) systems using lending guidelines, overlays, investor matrices, and SOPs. - Build prompt orchestration, memory systems, and agent reasoning frameworks. - Evaluate and deploy emerging AI technologies for document intelligence, NLP, computer vision, and decision support. - Systems Integration - Integrate AI systems with LOS platforms, CRM systems, pricing engines, OCR/document recognition tools and data platforms. - Develop APIs and middleware to enable seamless AI workflow orchestration. - Governance, Risk & Compliance - Ensure AI implementations align with mortgage regulatory requirements and governance standards. - Design controls around explainability, auditability, model monitoring, and human-in-the-loop approvals. - Strategy & Innovation - Help define and execute the enterprise AI strategy. - Prioritize high-ROI automation opportunities that improve revenue, pull-through, turn times, cost-to-originate, scalability, and EBITDA. Qualifications - 5+ years of software engineering, AI engineering, or machine learning experience. - 2+ years building LLM-based applications or agentic AI systems. - Experience with orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or MCP-based architectures. - Strong Python development skills and experience with APIs, vector databases, prompt engineering, RAG architectures, and workflow automation. Preferred Qualifications - Experience in mortgage lending, fintech, banking, or financial services. - Familiarity with Non-QM underwriting guidelines including DSCR, Bank Statement, Asset Qualifier, ITIN, Foreign National, and Jumbo products. - Experience with mortgage LOS platforms and deploying AI in regulated environments. Technical Stack (Preferred) - Languages: Python, SQL, JavaScript/TypeScript - AI/LLM: OpenAI, Anthropic, open-source LLMs, Hugging Face - Automation: n8n, UiPath, Zapier, Make, Apache Airflow - Cloud & DevOps: AWS, Azure, GCP, Docker, Kubernetes, CI/CD Benefits - Medical, dental, vision, wellness programs, EAP counseling services, FSA & HSA. - Company sponsored life insurance for employee, voluntary life insurance for employee, spouse and child. - AD&D Insurance, voluntary short-term and long-term disability, critical illness insurance, accident insurance. - Legal assistance, pet insurance, living will and trust preparation discounts, commuter program. - Annual walking challenge, employee appreciation events and monthly sales awards.
• Design, develop, and deploy AI/ML solutions to modernize core pharmacy platforms, with a focus on scalability, reliability, performance, and security • Leverage Generative AI, LLMs, and agentic AI frameworks to automate and enhance pharmacy workflows and decision-making processes • Collaborate with business and technical stakeholders to understand pharmacy domain requirements and translate them into robust AI/ML-driven technical solutions • Contribute to architecture and technical design of AI/ML pipelines, including model selection, data integration, and deployment patterns • Establish and maintain AI/ML engineering standards, best practices, and quality assurance processes • Conduct code reviews, provide constructive feedback, and mentor engineers on modern AI/ML engineering practices • Partner with cross-functional teams including data scientists, product managers, platform engineers, and pharmacy domain experts • Translate legacy system modernization needs into scalable AI applications that enhance products, workflows, and operational efficiency • Monitor and optimize AI/ML model performance, resource utilization, and platform reliability • Collaborate with DevOps and infrastructure teams to ensure secure, scalable deployment and operations of AI/ML solutions • Stay current with advancements in AI/ML frameworks, Generative AI, LLMs, and pharmacy technology modernization
• Collaborate with cross-functional teams to design scalable AI architectures • Contribute to innovative projects that leverage generative AI and large language models • Develop and deploy cutting-edge AI solutions • Work with advanced machine learning models and frameworks, focusing on cloud technologies and intelligent AI applications
Harman International is a global leader in automotive technology, lifestyle innovations, design and analytics.
Role Description HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career. We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career. - Engineer audio systems and integrated technology platforms that augment the driving experience - Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence - Advance in-vehicle infotainment, safety, efficiency, and enjoyment. What You Will Do - AI Agent Development - Build agentic AI systems using frameworks such as LangChain, AutoGen, Semantic Kernel, Haystack, or LlamaIndex. - Develop multi-agent architectures for planning, reasoning, tool use, memory, and feedback loops. - Implement autonomous workflows for analytics, operations, customer support, and productivity automation. - Generative AI Solutions - Develop LLM-powered features such as: - Naturallanguage querying - Summarization & explanation engines - Scenario simulation & calculators - Insight generation and anomaly detection - Conversational interfaces - Fine-tune, supervise, or optimize models for domain-specific tasks. - Retrieval-Augmented Generation (RAG) - Build enterprise-grade RAG pipelines for scalable document, metric, and knowledge retrieval. - Implement embeddings, vector databases, chunking, prompt templating, and ranking strategies. - AI Tool Integration - Enable agents to interact with: - Databases - Power BI / Anaplan / ERP / CRM - REST APIs - Python tools & calculators - Business workflows - Build “function calling” capabilities for real-time actions. - MLOps & AIOps - Deploy AI systems using Azure ML, AWS Sagemaker, Vertex AI, or on-prem platforms. - Implement monitoring, guardrails, safety layers, and model evaluation pipelines. - Set up CI/CD for AI workflows. - Collaboration & Solution Design - Work with product, analytics, and engineering teams to design AI use cases. - Create high-level and low-level architecture diagrams. - Ensure scalability, robustness, security, and governance. Qualifications - Experience: 4-6 Years - Technical Skills - Generative AI & LLMs - Strong understanding of GPT, Llama, Mistral, Claude, Gemini - Prompt engineering, prompt chaining, instruction tuning - Experience with open-source and proprietary LLMs - Knowledge of transformers, attention mechanisms, and embeddings - Agentic AI - Hands-on experience with: - LangChain Agents - AutoGen / Autogen Studio - Semantic Kernel Functions & Planners - Multi-Agent Orchestration - Tool-use, planning, reflection, memory systems - RAG Engineering - Vector databases (FAISS, Pinecone, Milvus, Azure AI Search) - Chunking strategies, hybrid search, rerankers - Advanced prompt routing & retrieval chains - Programming - Python (must have) - Knowledge of TypeScript/JavaScript is a plus - Familiarity with API development (FastAPI, Flask) - Cloud & Deployment - Azure AI Studio / AWS Bedrock / GCP Vertex AI - Docker, Kubernetes - DevOps & MLOps practices - Model deployment pipelines - Data & Analytics - SQL, data modeling - Working knowledge of APIs from systems like Power BI, Dataverse, Anaplan, SAP - Basic ML knowledge (supervised, unsupervised, deep learning basics) Benefits - Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location - Access to employee discounts on world-class Harman and Samsung products (JBL, HARMAN Kardon, AKG, etc.) - Extensive training opportunities through our own HARMAN University - Competitive wellness benefits - Tuition reimbursement - “Be Brilliant” employee recognition and rewards program - An inclusive and diverse work environment that fosters and encourages professional and personal development
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Python, Cloud, Java, AWS, Distributed Systems, Azure