Staff Machine Learning Engineer

Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin SeatGeek Priceline Calm and Box create dynamic individualized experiences at scale. Our platform empowers organizations to activate customer data design seamless cross-channel interactions and optimize engagementall with enterprise-grade security and compliance. Today nearly 1200 brands across 50 countries rely on Iterable to drive growth deepen customer relationships and deliver joyful customer experiences.

Our success is powered by extraordinary people who bring our core valuesTrust Growth Mindset Balance and Humilityto life. We foster a culture of innovation collaboration and inclusion where ideas are valued and individuals are empowered to do their best work. Thats why weve been recognized as one of Incs Best Workplaces and Fastest Growing Companies and were recognized on Forbes list of Americas Best Startup Employers in 2022. Notably Iterable has also been listed on Wealthfronts Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.

With a global presenceincluding offices in San Francisco New York Denver London and Lisbon plus remote employees worldwidewe are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Lets shape the future of customer engagement together!

As a Machine Learning Platform Engineer at Iterable you will design evolve and maintain our core ML infrastructure and the paved roads on which we build intelligence into our product. As a high tech marketing platform we work with thousands of high scale and diverse enterprise customers. The scale and diversity of these workloads supporting personalization with deep customizability presents unique and exciting challenges for platform engineering.

One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you please do apply as we value applicants for the skills they bring beyond a job description.

What Youll Do

• Lead the end-to-end development of ML pipelines from prototyping and experimentation through to production deployment enabling AI-powered features at scale.
• Design build and maintain the core infrastructure that powers our ML services (e.g. Databricks AWS Ray Kubernetes).
• Develop robust observability and experimentation frameworks to ensure reliable model deployment monitoring and continuous iteration.
• Partner closely with Data Science teams treating the ML Platform as a productremoving infrastructure bottlenecks and empowering them to deliver high-quality models efficiently and confidently.

What Were Looking For

• 5 years of experience in backend and/or infrastructure engineering.
• Strong experience with infrastructure-as-code practices (e.g. Pulumi Terraform CloudFormation).
• Experience working with service-oriented architectures and integrating ML services into high-scale backend systems.

Nice to Have

• Hands-on experience building and operating ML pipelines including traditional recommender systems and modern deep learning training and serving systems.

What we offer

• Competitive salaries & meaningful equity
• Private Medical Insurance
• Life/Risk Assurance
• Meal Allowance: 8.55 per day
• Community Days (days for us to give back to the community)
• Paid Annual Leave (22 days)
• Global Lifestyle Reimbursement Account
• Paid Sabbatical
• Complete laptop workstation

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