As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement. This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC's technology and trading capabilities. Your Core Responsibilities: - Develop large-scale distributed training pipelines to manage datasets and complex models - Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems - Develop libraries to improve the performance of machine learning frameworks - Maximize performance in training and inference using GPU hardware and acceleration libraries - Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions - Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining - Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs - Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities - Dig into the internals of open-source ML tools to extend their capabilities and improve performance Your Skills and Experience: - 5+ years of experience in machine learning with a focus on training or inference systems - Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus - Strong engineering skills, including Python, CUDA, or C++ - Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX - Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT) - Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL) - Exposure to cloud platforms and orchestration tools - A track record of contributing to open-source projects in machine learning, data science, or distributed systems is a plus #LI-DNP

• Design and implement a deep learning framework for compressing large language and vision-language models to deliver highly optimized, high-performance AI systems used worldwide. • Develop and integrate new algorithms for pruning, NAS, and distillation in collaboration with NVIDIA researchers and engineers. • Experiment with compressing the latest LLMs and VLMs, analyzing their performance and behavior across diverse workloads. • Collaborate with researchers and engineers across NVIDIA, providing guidance on improving the design, usability and performance of workloads. • Lead best-practices for building, testing, and releasing DL software.

Requisition Number: 2343638 Transform Healthcare Through AI Innovation at Optum Optum is a global organization delivering care, powered by data and technology, to help millions of people live healthier lives. At Optum.ai, we are not just witnessing the AI transformation in healthcare-we are leading it. Our mission is clear: to simplify healthcare with AI, turning insight into action at a scale few organizations in the world can match. As part of the Optum.ai team, you'll work at the intersection of cutting-edge artificial intelligence and real-world healthcare impact. From reducing administrative burden for providers to anticipating patient needs and improving access to quality care, your work will help solve some of healthcare's most complex challenges-and directly improve health outcomes for millions of people. You'll collaborate with world-class talent across data science, engineering, product, and healthcare domains, backed by the reach and stability of Optum and UnitedHealth Group. Here, responsible innovation matters. So do comprehensive benefits, meaningful career growth, and the opportunity to make a tangible difference-advancing health equity and creating a simpler, more connected healthcare experience for everyone. This is more than a job. It's a chance to shape the future of healthcare through the transformative power of AI. Join us to start Caring. Connecting. Growing together. Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for healthcare. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the healthcare journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. As a Senior AI/ML Engineer, you will design and build advanced machine learning and generative AI solutions that power enterprise applications and decision systems. You will work on large language models, retrieval-augmented generation pipelines, and agent-based AI systems while ensuring production-grade reliability, performance, and safety. 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: - Design and deploy generative AI and NLP solutions using transformer-based architectures for enterprise use cases such as search, summarization, extraction, conversational AI, and decision support - Develop and fine-tune large language model (LLM) applications using commercial and open-source models such as OpenAI, Anthropic/Claude, Gemini, LLaMA, or Mistral - Design and implement retrieval-augmented generation (RAG) pipelines including document ingestion, chunking strategies, embedding generation, and vector database integration - Build agentic AI systems including single-agent and multi-agent workflows capable of tool use, reasoning, planning, and autonomous task execution - Implement evaluation and monitoring frameworks for generative AI systems including hallucination detection, bias monitoring, and human-in-the-loop evaluation - Develop safety and governance controls for AI systems including prompt hardening, policy enforcement, and responsible AI guardrails - Productionize AI/ML pipelines using CI/CD, testing, monitoring, and observability best practices in cloud-native environments - Collaborate with product, platform, and data science teams to translate requirements into scalable AI solutions 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 of experience in machine learning, AI engineering, or applied data science including development of production ML systems - 5+ years of experience developing Python-based ML systems using frameworks such as PyTorch, TensorFlow, or Hugging Face - 3+ years of experience building Generative AI or LLM applications including prompt engineering, model fine-tuning, and LLM API integrations - 2+ years of experience designing retrieval-augmented generation (RAG) systems and vector search pipelines - 1+ year of experience building agentic AI systems including tool-calling, planning frameworks, or multi-agent workflows - 1+ year of experience using AI-assisted development or 'vibe coding' tools such as Codex, Claude Code, Cursor, Windsurf, or similar tools Preferred Qualifications: - Experience with LLM orchestration frameworks such as LangChain, LlamaIndex, or Semantic Kernel - Experience optimizing LLM latency, cost, and performance in production environments - Experience deploying AI systems on cloud platforms such as AWS, Azure, or GCP - Experience working in regulated environments with responsible AI governance requirements *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. #OptumTechPJ

Requisition Number: 2345237 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. The Optum Technology Digital team is on a mission to disrupt the healthcare industry, transforming UHG into an industry-leading Consumer brand. We deliver hyper-personalized digital solutions that empower direct-to-consumer, digital-first experiences, educating, guiding, and empowering consumers to access the right care at the right time. Our mission is to revolutionize healthcare for patients and providers by delivering cutting-edge, personalized and conversational digital solutions. We're Consumer Obsessed, ensuring they receive exceptional support throughout their healthcare journeys. As we drive this transformation, we're revolutionizing customer interactions with the healthcare system, leveraging AI, cloud computing, and other disruptive technologies to tackle complex challenges. Serving UnitedHealth Group's digital technology needs, the Consumer Engineering team impacts millions of lives through UnitedHealthcare & Optum. The Optum Technology Chief Digital Office (CDO) Leadership team is transforming Optum to be an industry-leading Consumer brand. We are on a journey towards delivering a best-in-the-industry consumer experience to our patients and providers by delivering personalized digital solutions that support our consumers throughout their healthcare journeys. This team is transforming to meet the moment - to begin radically altering the way our customers engage with the healthcare system using modern tech to solve some of the most complex problems experienced along the way. Serving all of UnitedHealth Group's digital technology needs, the CDO team is responsible for driving outcomes across nearly 30 million+ human lives with UnitedHealthcare insurance, a number which puts UHC at the top of the pack as the largest managed care provider in the United States. 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: - Work with automation and orchestration tools such as Kubernetes, GitHub Actions or other commercial PaaS offerings - Continually monitor industry developments in Cloud infrastructure developments, tools and products used in the cloud delivery model - Work with Software, Platform Engineering and Operations teams on the development and delivery of operational ready platforms - Work with log aggregation tools like Splunk and ELK - Design automated, resilient, scalable platform solutions - Participate in development of automated delivery work flows using cloud automation and orchestration tools, Unix shell scripting and other deployment tools - Assess and interpret customer needs and requirements - Involved in solving moderately complex problems and/or conduct moderately complex analysis - Deliver the process and standards for developing new and exciting services for our customers - Develop integrations between vendor tool APIs and automation frameworks - Provide explanation and information to others on difficult issues - Coach, provide feedback and guide others - Identify/quantify scope and impact of business changes on systems - Support, design and improve on monitoring, alerting and tooling efforts - Maintain awareness of current technology assets, and the applicability and capability of each - Ability and willingness to augment current expertise with new open source or targeted vendor technologies 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: - Bachelor's degree in Computer Science, Data Science, or related field - 3+ years of Python or Go Lang development - 2+ years of experience in AI/ML or Platform engineering - 1+ years of experience with Agile methodology - 1+ years of experience with Elasticsearch, Kafka, Prometheus, Grafana, Kubernetes - Familiarity with MCP, A2A, and AG-UI Protocols Preferred Qualifications: - Experience in full life cycle activities - Experience working across fully automated stacks in a CI/CD ecosystem - Experience with distributed data stores at scale - Experience in agile environments (using tools like Jira, GitHub Projects, CA Agile Central) - Experience working effectively across multiple functional areas in a matrixed environment - Agile DevOps delivery model experience - Health care industry experience *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 $98,547 to $175,978 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.