Staff ML Engineer

What You'll Do

What You'll Bring

Preferred Qualifications

• Experience with Databricks or comparable cloud-based data and AI platforms for workflow orchestration, scalable processing, model deployment, and evaluation.
• Experience with NLP, text analytics, or large-scale processing of unstructured data.
• Experience building shared infrastructure for inference, evaluation, and model lifecycle management.
• Familiarity with retrieval-augmented generation, semantic search, and LLM orchestration frameworks.
• Experience with speech-to-text, speaker diarization, or processing conversational audio data.
• Experience deploying and operating cloud-native services on AWS or Azure.
• Experience with healthcare or other regulated environments, including sensitive data handling, auditability, and model governance.
• 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 $130,000 to $190,000. 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.
• Our privacy policy can be found here: https://www.pressganey.com/legal-privacy/

Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, or a related technical discipline, or equivalent practical experience.
• 8+ years of professional software engineering experience, including at least 3 years owning ML or LLM systems in production and their operational support.
• Proven track record of independently leading complex technical initiatives from requirements through production, making architectural decisions and coordinating delivery across stakeholders.
• Advanced proficiency in Python for production services and data processing, with strong SQL skills.
• Experience designing and operating high-throughput distributed systems, with a strong understanding of failure recovery, multi-tenancy, and capacity planning.
• Hands-on experience deploying and operating LLM-based applications, including evaluation, output validation, observability, and cost management.
• Strong production engineering practices across automated testing, CI/CD, monitoring, incident response, and root-cause analysis.
• Demonstrated technical leadership through system design, hands-on implementation, code review, and mentorship.
• Ability to communicate technical decisions and tradeoffs clearly to engineering, research, product, and governance stakeholders.
• Experience with Databricks or comparable cloud-based data and AI platforms for workflow orchestration, scalable processing, model deployment, and evaluation.
• Experience with NLP, text analytics, or large-scale processing of unstructured data.
• Experience building shared infrastructure for inference, evaluation, and model lifecycle management.
• Familiarity with retrieval-augmented generation, semantic search, and LLM orchestration frameworks.
• Experience with speech-to-text, speaker diarization, or processing conversational audio data.
• Experience deploying and operating cloud-native services on AWS or Azure.
• Experience with healthcare or other regulated environments, including sensitive data handling, auditability, and model governance.
• 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.
• 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 $130,000 to $190,000. 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.
• Our privacy policy can be found here: https://www.pressganey.com/legal-privacy/

Responsibilities

• Own technical delivery from prototype through deployment and ongoing production support, partnering with AI Scientists and Product to define requirements, plan implementation, and resolve cross-team dependencies.
• Evaluate proposed AI solutions for production suitability, identify technical risks, and choose architectures that meet quality, reliability, and cost requirements without unnecessary complexity.
• Architect and build high-volume AI services and processing pipelines, including fault tolerance, backpressure, retries, idempotency, and recovery from partial failures.
• Lead the evolution of our Python services and Databricks-based platform for distributed processing, model serving, and integration of traditional ML and LLM-based components.
• Establish production engineering standards for automated testing, CI/CD, model and prompt versioning, load testing, controlled rollouts, and rollback.
• Build evaluation and monitoring capabilities to detect AI quality regressions and track service reliability, throughput, latency, and inference cost.
• Partner with Product and Responsible AI teams to define release criteria and implement requirements for model validation, data privacy, security, and governance.
• Optimize processing and inference workloads, balancing model quality, throughput, latency, capacity, and cost.
• Mentor engineers and lead architecture and code reviews, maintaining consistent standards for software quality and maintainability.