Middle ML Engineer II

Company Description

Press Ganey is the leading experience measurement, data analytics, and insights provider for complex industries—a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare –perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world’s most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood.

• Energize the customer relationship: Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.

• Success starts with me: Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.

• Commit to learning: Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.

• Dare to innovate: We challenge the status quo with creativity and innovation as our true north.

• Better together: We check our egos at the door. We work together, so we win together.

We're hiring an ML Engineer II to help expand and scale our Machine Learning and Artificial Intelligence capabilities. In this role, you will work on core AI initiatives across multiple business units, execute against established engineering standards for production AI systems, and help build and harden our AI Agents for Healthcare.

As an ML Engineer II, you should love building simple solutions to solve hard customer problems, crafting reliable code in an agile environment, and taking ownership of software quality from end to end. You will work within our existing Java and Spring-based platform, adding and modernizing enterprise application features with advanced AI capabilities while growing your software engineering expertise alongside senior team members.

What You'll Do

• Build, test, and deploy production-ready AI agents and agentic workflows that integrate seamlessly with enterprise applications and business processes.
• Implement robust evaluation, monitoring, guardrail, and safety frameworks defined by senior team members to de-risk LLM-powered applications.
• Develop and maintain AI-enabled features within our existing Java/Spring platform and distributed microservices ecosystem.
• Collaborate with AI Scientists and ML Engineers to productionize models and translate experimentation into reliable software.
• Staying up to date with emerging AI technologies and recommending pragmatic adoption strategies that improve product capabilities and developer productivity.
• Work closely with, and incorporate feedback from other specialists, tech-ops, and product managers
• Participate in design reviews, technical discussions, and requirement planning to continuously grow technical skills and domain knowledge.
• Attend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customers
• Finding quick ways to prototype and test possible solutions to large problems

What You'll Bring

• Bachelor's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience.
• 2–5 years of hands-on experience as a Machine Learning Engineer, with a proven track record of designing, building, and optimizing ML models using frameworks like PyTorch or TensorFlow for production environments.
• Solid Computer Science fundamentals in data structures, algorithm design, complexity analysis, and performance optimization.
• Strong proficiency in object-oriented design and development using modern programming languages such as Python, Java, or C#.
• Hands-on experience developing, testing, and supporting applied machine learning services within enterprise software ecosystems.
• Practical experience building and maintaining software components for AI-enabled applications or distributed systems.
• Hands-on experience integrating AI capabilities into existing enterprise applications rather than building standalone AI prototypes.
• Experience implementing and deploying production-grade LLM applications using frameworks such as LangChain, LangGraph, Spring AI, Model Context Protocol (MCP), or similar technologies.
• Solid working knowledge of Retrieval-Augmented Generation (RAG), tool calling, prompt engineering, and core AI agent principles.
• Experience in observability, CI/CD, automated testing, and production operations for AI applications.
• Excellent communication and collaboration skills.

Preferred Qualifications

• Experience with Databricks, vector search technologies, embedding models, conversational AI, and evaluation strategies for AI agents.
• Experience working with AI developer tooling and platform capabilities that accelerate feature delivery.
• Experience building large-scale Java microservices using Spring Boot.
• Experience with cloud-native platforms (AWS, Azure, or GCP), Kubernetes, and containerized deployments.
• Familiarity with model serving, inference optimization, caching strategies, and cost optimization for enterprise AI systems

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Additional Information for US based jobs:

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.

Pay Transparency Non-Discrimination Notice – Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $110,000 to $130,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.  

All your information will be kept confidential according to EEO guidelines.

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