Engineer

Why join us? Our purpose is to design for the good of humankind. It's the ideal we strive toward each day in everything we do. Being a part of MillerKnoll means being a part of something larger than your work team, or even your brand. We are redefining modern for the 21st century. And our success allows MillerKnoll to support causes that align with our values, so we can build a more sustainable, equitable, and beautiful future for everyone. About the Role We're looking for a highly skilled and versatile ML Engineer to join our growing Lean-AI Program. You'll be part of a small, highly technical group focused on delivering impactful machine learning and generative AI solutions. In this role, you'll be responsible for the full lifecycle of AI / ML models-from design and development to deployment and monitoring. You'll collaborate closely with data scientists and other engineers while owning the infrastructure, MLOps, and production environments that bring AI solutions to life. You'll be expected to quickly prototype and iterate on solutions, maintain awareness of emerging GenAI tools and frameworks, and ensure secure, scalable deployments. This is a hands-on role that may occasionally require providing support outside of standard business hours to address urgent issues or time-sensitive tasks-with real impact and room to innovate. Key Responsibilities Design, build, and optimize machine learning, deep learning, and LLM-based models to solve a variety of business problems. Develop GenAI-powered applications using cutting-edge technologies. Implement and refine MLOps and LLMOps best practices, including workflow orchestration, experiment tracking, version control, observability, and continuous integration / deployment. Develop and maintain scalable data and model pipelines, from initial concept through deployment. Rapidly prototype solutions to validate feasibility before full-scale implementation. Collaborate with cross-functional teams to deploy models into production via APIs and / or user-facing interfaces. Set up and maintain monitoring, alerting, and retraining pipelines to ensure ongoing performance and reliability. Stay current on AI / ML advancements, with a focus on integrating emerging GenAI tools and practices into our workflow. Required Technical Skills Bachelor's or Master's degree in Computer Science, Electrical Engineering, Data Science, or related technical field with 3+ years of hands-on experience in applied machine learning or AI engineering. Strong foundation in mathematics and algorithms, especially in linear algebra, probability, statistics, and optimization. Hands-on experience with ML concepts and frameworks such as Scikit-learn, XGBoost, time series forecasting, PyTorch or TensorFlow, and Transformers. Familiarity with MLOps and LLMOps best practices. Experience building GenAI applications with LangChain, LlamaIndex, or similar frameworks, LLM APIs (OpenAI, Cohere, Anthropic, etc.), embeddings, prompt engineering, fine-tuning, and RAG. Solid cloud deployment experience with AWS. Experience integrating AI solutions into business systems via APIs and microservices. Strong Python skills; proficiency in writing clean, modular, and testable code. Knowledge of security and privacy best practices in AI / ML pipelines. Experience with front-end frameworks is a plus. Soft Skills & Qualities Strong analytical and problem-solving skills with a proactive mindset. Excellent communication skills; able to explain technical concepts to diverse audiences. High adaptability to evolving tools, frameworks, and industry practices. Strong collaboration skills-able to contribute in a highly interdisciplinary and agile setting. Comfort working independently in fast-paced, evolving environments. Passion for innovation and continuous learning in AI / ML and GenAI technologies. Commitment to clear documentation and knowledge sharing. Who We Hire? Simply put, we hire qualified applicants representing a wide range of backgrounds and abilities. MillerKnoll is comprised of people of all abilities, gender identities and expressions, ages, ethnicities, sexual orientations, veterans from every branch of military service, and more. Here, you can bring your whole self to work. We're committed to equal opportunity employment, including veterans and people with disabilities. This organization participates in E-Verify Employment Eligibility Verification. In general, MillerKnoll positions are closed within 45 days and are open for applications for a minimum of 5 days. We encourage our prospective candidates to submit their application(s) expediently so as not to miss out on our opportunities. We frequently post new opportunities and encourage prospective candidates to check back often for new postings. MillerKnoll complies with applicable disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and / or to receive other benefits and privileges of employment, please contact MillerKnoll Talent Acquisition at careers_help@millerknoll.com. Employment Type : Full Time