AI Platform Engineer, Staff

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. 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.

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 Staff AI/ML Engineer to join our Medallia AI Platform team and set the technical direction for our AI platform. You will define the architecture and standards that the next generation of AI products is built on, and you will lead engineers across teams to deliver them.
As a Staff AI/ML Engineer on the AI Platform team, you will own the technical strategy for our AI platform and architect the building blocks of our next-generation AI products. You will influence design across product, platform, and infrastructure teams, mentor senior engineers, and make the tradeoffs that keep the platform secure, scalable, and reliable for enterprise customers.

Responsibilities:

• Set the technical direction for the AI/ML platform and lead its evolution, including compliance, security, and performance standards.
  Architect in-house and cloud-native ML infrastructure.
• Define how models and ML pipelines are monitored, maintained, and optimized in production, and raise the bar for reliability across the platform.
• Design secure data pipelines that operate across national boundaries, and establish the standards teams follow.
• Partner with product, design, and engineering leadership to shape innovative features for the Customer Experience space
• Architect scalable solutions for large-scale data processing made available to clients with high performance.
• Define API strategy and design the interfaces that power front-end applications.
• Identify and drive process improvements across teams: automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
• Mentor senior engineers, lead design reviews, and raise engineering quality across the AI Platform organization.
• Participate in a scheduled on-call rotation and own the response for high-severity issues affecting internal platforms and customer-facing production systems.

Qualifications:

Minimum Qualifications

• BA/BS degree in Computer Science or a related technical discipline, or equivalent practical experience.
• 8+ years of software development in production environments using Python, Java, or Scala, including experience leading technical design beyond a single team.
• Deep experience designing and operating microservices at scale.
• Demonstrated experience deploying and operating services on Kubernetes (K8s); familiarity with K8s-based deployment frameworks in regulated environments, including setting standards other teams follow.
• Demonstrated experience with distributed systems: Spark, Hadoop, Kafka.
• Demonstrated experience with Relational SQL including Postgres.
• Track record of driving technical decisions across multiple teams and mentoring senior engineers.

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.
• 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.
• Knowledge about Django or Spring framework.
• Experience with NoSQL databases including ElasticSearch.
• Experience defining platform strategy, technical roadmaps, or engineering standards for an organization.
  
  

Medallia is committed to equal pay and transparency.  The annual base salary range for this position is $172,500 - $255,875. 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 ApplicantAccessibility@medallia.com. 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.