About the role You’ll own and expand our AI-enabled plan ingestion pipeline—from raw PDFs to clean, dependable outputs that power takeoff, design, and downstream automation. What you'll do - Architect, build, and deploy ML systems for object detection, segmentation, document understanding, and information extraction from complex building plans - Drive R&D across computer vision and/or NLP as applied to construction documents and related data - Develop multi-modal approaches that combine vision with language features for document analysis (LLMs/NLP). Familiarity with different RAG methods is a plus - Mentor junior engineers and help raise the bar on execution, code quality, and decision-making - Ensure systems are reliable, maintainable, testable, and observable in production Qualifications - 8+ years of experience in Machine Learning Engineering, with deep focus in computer vision - Expert Python skills, with strong experience in PyTorch and FastAPI - Proven work with segmentation models, detection frameworks, and OCR/document pipelines - Strong image processing fundamentals (OpenCV, geometric transforms, preprocessing, etc.) - Comfortable in Linux; hands-on with Docker/containerization for deployment - Experience building and maintaining MLops infrastructure (e.g., ClearML, MLflow) - Ability to design scalable, high-performance ML systems (not just prototypes) - Strong problem-solving ability and comfort operating independently in a fast-paced environment What Makes You a Great Fit - High agency: you ship, iterate, and fix what’s broken—without waiting for permission - You’ve delivered ML systems end-to-end in production (data → model → deployment → iteration) - You’re a strong engineer who cares about getting better—trajectory matters here - You communicate clearly, especially with a remote and cross-cultural team - You’re gritty and genuinely enjoy solving hard problems Bonus Points - Experience building systems for document reading / understanding - Ambitious, driven, and opinionated about quality and craft - Experience with deep learning inference frameworks (e.g., TensorRT, PyTorch compile) and optimizing inference performance - You keep up with current ML/AI developments and can apply them pragmatically What We Offer - Competitive salary + meaningful equity - Comprehensive benefits (health, dental, vision) - Professional development budget (courses, conferences, research exploration) - Real-world ML problems with direct impact - High growth potential

• Design and implement ML algorithms to enhance music creation tools and solve various user problems in line with product goals • Identify and implement off-the-shelf ML and AI tools to solve practical problems efficiently • Understand the requirements of running models in production, including domain shift testing, QA, A/B testing and so on • Maintain production-ready code with considerations for how solutions fit the product and enhance the user experience • Build scalable, maintainable data pipelines to handle audio and other unstructured data • Collaborate with Product and Engineering teams to ensure seamless integration of ML solutions into production systems • Evaluate, deploy, and fine-tune pre-trained models for tasks like audio analysis, melody generation, and process automation • Uphold ethical AI practices, ensuring fairness and responsible AI use in music-related applications

Requisition Number: 2341783 Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. In support of AI 10.0 Scaling and leveraging AI to apply processing rules directly from source documentation via enterprise assets, we're adding resources to our Claim Edit Hub team. This team will work to derive rules/edits directly from source documents (i.e. Policies) and expose them via Agentic workflow to make them accessible in a real time manner. This will also support our "shift left" strategy to enable claim edits/rules to be executed on Trial Claims to provide transparent cost estimates to Providers and Members. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Responsible AI & Compliance - Building & Productionizing AI Systems (agentic services, APIs/SDKs, RAG/CAG, E2E pipelines) - Ensure Model Quality, Evaluation, Security & Safety - Implement Observability, Operations excellence - Drive Architecture, Governance & Engineering Standards - Cross Functional Leadership & Collaboration You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - 5+ years in Observability & Monitoring - SLOs for latency/cost/error; drift/skew detection; tracing/telemetry (OpenTelemetry style); alerting (eg, Prometheus/Grafana equivalents) - 3+ years in Programming & Packaging - Python (typing, pytest, packaging), SQL; shell for automation - 3+ years in ML / DL Frameworks - scikit learn, XGBoost; PyTorch or TensorFlow/Keras for deep learning - 3+ years in GenAI & Agents - LLM evaluation methods; RAG pipelines; prompt/route registries; LangChain style orchestration; model hubs (eg, Model Garden / Hugging Face) - 3+ years in Pipelines & Orchestration - Kubeflow or Vertex AI Pipelines; Apache Airflow/Composer - 3+ years in Model Registry, Experiment Tracking & A/B - Model registry (eg, Vertex AI Model Registry/MLflow); experiment tracking; canary/A B rollout - 3+ years in Serving & Inference - Batch/online endpoints, autoscaling; versioning and rollback strategies - 3+ years in MLOps / DevOps - CI/CD (GitHub Actions or equivalent); IaC; secrets/certs; containerization (Docker) and orchestration (Kubernetes) - 3+ years in Responsible AI & Compliance - Explainability/fairness testing; PHI/PII handling; model cards; AIRB/RAI artifacts and audit ready evidence - 3+ years in Security - Access controls, key management, secrets hygiene; secure data paths end to end - 1+ years in Cloud Platforms - Public Cloud (Vertex AI, GPUs/TPUs), AWS/Azure AI services *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

Get to Know Us: It's fun to work in a company where people truly believe in what they're doing! At BlackLine, we're committed to bringing passion and customer focus to the business of enterprise applications. Since being founded in 2001, BlackLine has become a leading provider of cloud software that automates and controls the entire financial close process. Our vision is to modernize the finance and accounting function to enable greater operational effectiveness and agility, and we are committed to delivering innovative solutions and services to empower accounting and finance leaders around the world to achieve Modern Finance. Being a best-in-class SaaS Company, we understand that bringing in new ideas and innovative technology is mission critical. At BlackLine we are always working with new, cutting edge technology that encourages our teams to learn something new and expand their creativity and technical skillset that will accelerate their careers. Work, Play and Grow at BlackLine! Make Your Mark: As an AI Engineer at BlackLine, you will be a key player in our mission to bring autonomous finance to every company in the world. You will be at the forefront of developing and deploying innovative applications that leverage the power of Large Language Models (LLMs) and foundation models. We are looking for a candidate with a deep understanding of AI Engineering with practical experience deploying GenAI solutions at scale. You'll Get To: • Design, build, and deploy production-grade applications that leverage foundation models to deliver unprecedented insights and efficiency to Finance & Accounting teams.• Develop and implement robust evaluation methodologies for open-ended AI systems, including the use of "AI as a judge" to ensure our solutions meet the highest standards of accuracy and reliability.• Master and apply a variety of model adaptation techniques, including prompt engineering, Retrieval-Augmented Generation (RAG), and fine-tuning, to tailor foundation models to specific financial use cases.• Create and manage datasets for training and fine-tuning models, ensuring data quality and relevance.• Build and deploy AI agents that can automate complex financial workflows and interact with various tools and systems.• Optimize the performance of our AI applications, focusing on reducing latency and cost to deliver a seamless user experience.• Collaborate with cross-functional teams to identify and implement the best AI-powered solutions to address the challenges faced by the office of the CFO. What You'll Bring: • Proven experience in developing and deploying applications using foundation models (e.g., GPT-4, Claude 3, Llama).• A strong understanding of the principles of AI Engineering, as distinct from traditional Machine Learning Engineering.• Hands-on experience with prompt engineering, including techniques for few-shot and zero-shot learning, and defensive prompt design.• Practical knowledge of Retrieval-Augmented Generation (RAG) architecture and its application in building knowledge-intensive applications.• Experience with fine-tuning LLMs and an understanding of when to use fine-tuning versus RAG.• Experience with building and evaluating AI agents that can perform complex, multi-step tasks.• Familiarity with the challenges of evaluating foundation models and experience with designing and implementing evaluation pipelines.• Experience with building and evaluating AI agents that can perform complex, multi-step tasks.• Proficiency in Python or C# and experience with relevant libraries and frameworks (e.g., Hugging Face Transformers, LangChain, PyTorch). We're Even More Excited If You Have: • Knowledge of techniques for optimizing inference, including quantization and other methods to improve latency and cost.• Expertise in multi-modal generative models (e.g., text, image, audio) and a proven ability to apply them to create innovative enterprise solutions.• A deep understanding of dataset engineering, including data curation, augmentation, and synthesis. • Proven experience in designing and building end-to-end Generative AI systems, from data ingestion and model orchestration to scalable deployment and continuous monitoring.• A strong grasp of LLMOps principles and hands-on experience with tools and platforms for managing the entire lifecycle of Large Language Models in production.• Experience with Model Composition (MCP) techniques, demonstrating an ability to solve complex problems by intelligently combining multiple specialized models or AI agents.• Deep knowledge of Responsible AI principles and practical experience in implementing robust guardrails, safety filters, and ethical considerations into generative models to ensure fairness, transparency, and accountability.• Familiarity with the financial domain and the challenges of applying AI in a regulated industry. Thrive at BlackLine Because You Are Joining: - A technology-based company with a sense of adventure and a vision for the future. Every door at BlackLine is open. Just bring your brains, your problem-solving skills, and be part of a winning team at the world's most trusted name in Finance Automation! - A culture that is kind, open, and accepting. It's a place where people can embrace what makes them unique, and the mix of cultural backgrounds and varying interests cultivates diverse thought and perspectives. - A culture where BlackLiner's continued growth and learning is empowered. BlackLine offers a wide variety of professional development seminars and inclusive affinity groups to celebrate and support our diversity. BlackLine is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, race, ethnicity, age, religious creed, national origin, physical or mental disability, ancestry, color, marital status, sexual orientation, military or veteran status, status as a victim of domestic violence, sexual assault or stalking, medical condition, genetic information, or any other protected class or category recognized by applicable equal employment opportunity or other similar laws. BlackLine recognizes that the ways we work and the workplace itself have shifted. We innovate in a workplace that optimizes a combination of virtual and in-person interactions to maximize collaboration and nurture our culture. Candidates who live within a reasonable commute to one of our offices will work in the office at least 3 days a week.