Senior AI/ML Platform Engineer

Medallia, Inc.; McLean (VA); Hybrid; USD 149,000 - 221,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401(k)

Paid parental leave

Life and AD&D insurance

Paid holidays

Job summary

Medallia, Inc. is seeking a Senior AI/ML Engineer to lead the migration of the AI Platform to AWS GovCloud. This hybrid role prioritizes candidates in the Tysons area and demands US citizenship for GovCloud access.

You will architect scalable AI services for government and enterprise customers and work across cross-functional teams to deliver secure, high-performance capabilities. You will design cloud-native ML infrastructure, monitor pipelines, and drive secure data delivery while

Qualifications

• BA/BS in Computer Science or related technical discipline, or equivalent practical experience.
• 5+ years of software development in production environments using Python, Java, or Scala.
• Experience deploying and operating services on Kubernetes (K8s) and related frameworks in regulated environments.
• Experience with distributed systems: Spark, Hadoop, Kafka.
• Experience with Relational SQL including Postgres.
• Experience with code quality practices and testing architectures on large codebases.

Responsibilities

• Lead the migration of our AI/ML platform services to AWS GovCloud, ensuring compliance, security, and performance standards.
• Design and implement cloud-native ML infrastructure on AWS, including SageMaker, ECS, EKS, and Lambda.
• Monitor, maintain, and optimize deployed models and ML pipelines in GovCloud environments.
• Build and maintain secure data pipelines across national boundaries, adhering to FedRAMP requirements.
• Collaborate with product and design teams to build innovative features for the Customer Experience space.
• Architect scalable solutions for large-scale data processing made available to clients with high performance.
• Design and implement APIs to power front-end applications.
• Identify process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability.
• Participate in a scheduled on-call rotation to maintain the availability and reliability of both internal platforms and customer-facing production systems.

Skills

Python

Java

Scala

Kubernetes

Spark

Hadoop

Kafka

Postgres

Education

BA/BS in CS or related field

Tools

Kubernetes (K8s)

Airflow

Kubeflow

Django

Spring

Job description

Overview

Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the management of experiences, insights, and actions for candidates, customers, employees, patients, and residents alike.

We believe that every experience is a memory that can last a lifetime. Experiences shape the way people feel about a company. And they greatly influence how likely people are to advocate, contribute, and stay. At Medallia, we are committed to creating a world where organizations are loved by their customers and their employees.

We empower exceptional people to create extraordinary experiences together.

Bring your whole self.

The Role and Team

We are looking for a Senior AI/ML Engineer to join our Medallia AI Platform team and lead the migration of our AI platform to AWS GovCloud. This role requires US citizenship due to GovCloud access and deployment requirements.

As a Senior AI/ML Engineer on the AI Platform team, you will architect and develop the building blocks of our next-generation AI products while spearheading our GovCloud migration initiative. You will work with cross-functional teams to deliver world-class AI capabilities to government and enterprise customers.

Responsibilities

• Lead the migration of our AI/ML platform services to AWS GovCloud, ensuring compliance, security, and performance standards.

• Design and implement cloud-native ML infrastructure on AWS, including SageMaker, ECS, EKS, and Lambda.

• Monitor, maintain, and optimize deployed models and ML pipelines in GovCloud environments.

• Build and maintain secure data pipelines across national boundaries, adhering to FedRAMP requirements.

• Collaborate with product and design teams to build innovative features for the Customer Experience space.

• Architect scalable solutions for large-scale data processing made available to clients with high performance.

• Design and implement APIs to power front-end applications.

• Identify process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability.

• Participate in a scheduled on-call rotation to maintain the availability and reliability of both internal platforms and customer-facing production systems.

Candidates based in the Tysons vicinity will be prioritized as this role is Hybrid, 3 days per week onsite.

Qualifications

Minimum Qualifications

• Eligibility Requirement: Due to compliance restrictions for AWS GovCloud environments, US Citizenship is required for this role. Candidates must be eligible to obtain and maintain access to these secure environments.

• BA/BS degree in Computer Science or a related technical discipline, or equivalent practical experience.

• 5+ years of software development in production environments using Python, Java, or Scala.

• Demonstrated experience deploying and operating services on Kubernetes (K8s); familiarity with K8s-based deployment frameworks in regulated environments.

• Demonstrated experience with distributed systems: Spark, Hadoop, Kafka.

• Demonstrated experience with Relational SQL including Postgres.

• Demonstrated experience with code quality best practices and testing architectures on large codebases.

Preferred Qualifications

• Familiarity with AWS services (EC2, S3, IAM, VPC, EKS, SageMaker) for cases where native AWS deployments are required outside the company's K8s framework.

• Experience with AWS GovCloud or FedRAMP-compliant environments.

• AWS Certified Machine Learning Specialty or Solutions Architect certification.

• Experience with ML model serving platforms: TensorFlow Serving, TensorRT, Triton, KServe.

• Experience with data pipeline and workflow management tools such as Airflow or Kubeflow.

• Microservices development using Django or Spring framework.

• Experience with NoSQL databases including ElasticSearch.

Medallia is committed to equal pay and transparency. The annual base salary range for this position is $148,500 - $221,000. Please note that the salary range information provided is a general guideline and combines all of the distinct labor markets within the US. It is uncommon for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on a variety of factors. Medallia considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, candidate's work location, education/training, key skills, internal peer equity, external market data, as well as, market and business considerations when making compensation decisions.

Medallia also offers competitive health and wellness benefits, including but not limited to medical, dental, vision, 401(k), short-term and long-term disability, life and AD&D insurance, statutory leaves, paid parental leave, and paid holidays. Benefits and eligibility may vary by location and role.

At Medallia, we celebrate diversity and recognize the value it brings to our customers and employees. Medallia is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age (40 and over), disability, genetic information, veteran status or military service, or any other status protected by state or local law. Individuals with a disability who need an accommodation to apply please contact us at [e-mail]. For information regarding how Medallia collects and uses personal information, please review our Privacy Policies. Applications will be accepted for 30 days from the date this role was posted or until the role has been filled.