Senior Machine Learning Engineer New Hybrid - Lisbon, Portugal

Iterable, Inc.; Lisboa; Presencial; EUR 67 000 - 88 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Private Medical Insurance

Meal Allowance: 8.55€ per day

Community Days

Paid Annual Leave (22 days)

Global Lifestyle Reimbursement Account

Resumo da oferta

Iterable is seeking a Senior Machine Learning Engineer to design and build end-to-end ML systems in Lisbon, powering intelligent personalization for thousands of customers.

You’ll own the full model lifecycle from research to production, working with Databricks, Spark, AWS, Ray, and Kubernetes to scale ML at enterprise scale. The role emphasizes pragmatic, production-grade code and collaboration with Backend and Platform teams for robust, observable models.

Qualificações

• 5+ years of hands-on MLE experience
• Databricks & Spark mastery: Real experience building, optimizing, and scaling production data pipelines
• Production-level Model Engineering: deep learning and ensemble architectures from training through deployment
• Production Code: Python and/or Scala; readable, modular systems code
• Systems & Infra Experience: microservice backends, distributed compute (Ray/Spark), containers (Kubernetes)
• Pragmatism: prioritize latency, reliability, and measurable customer impact
• Experience with large-scale recommendation systems
• Experience setting up feature stores or model observability tools
• Exposure to Infrastructure-as-Code (Terraform, Pulumi)

Responsabilidades

• Build and ship core product ML capabilities, including send-time optimization, recommendations, and personalization
• Own end-to-end model lifecycle: EDA, feature engineering, distributed training, deployment, latency monitoring, online experimentation
• Build and scale data pipelines and serving architectures using Databricks, Spark, AWS, Ray, and Kubernetes
• Partner with Backend and Platform teams to elevate feature serving and data architecture
• Mentor engineers and help set the technical direction for ML at Iterable
• Design data pipelines for easy model testing and iteration
• Benchmark and improve multi-armed bandit implementations
• Develop tools to visualize and debug features and models

Conhecimentos

MLE experience

Python/Scala

Model lifecycle

Latency & reliability

Recommendation systems

Distributed compute

Infra awareness

Ferramentas

Databricks

Spark

AWS

Ray

Kubernetes

Terraform

Pulumi

Descrição da oferta de emprego

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 engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.

With a global presence—including offices in San Francisco, Denver, London, Sydney, and Lisbon, plus remote employees worldwide—we 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. Let’s shape the future of customer engagement together!

As a Senior Machine Learning Engineer at Iterable, you will design and build the end-to-end machine learning systems that power intelligence across our product. As a high-tech marketing platform, we work with thousands of large-scale and diverse enterprise customers. The scale and diversity of these workloads — supporting personalization with deep customizability — present unique and exciting challenges for machine learning at production scale.

You will have real autonomy: from research and experimentation through to models running reliably in production, you'll own the systems and models behind our ML products and help shape the direction of AI at Iterable.

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

What You’ll Do

• Build and ship core product ML capabilities, including send-time/frequency optimization, recommendation engines, and campaign personalization.
• Own the full model lifecycle end-to-end: EDA, feature engineering, distributed training, production deployment, latency monitoring, and online experimentation (e.g., multi-armed bandits, ensemble models).
• Build and scale our data pipelines and serving architectures using Databricks, Spark, AWS, Ray, and Kubernetes.
• Partner with Backend and Platform teams to elevate feature serving, improve overall data architecture, and establish engineering standards across the team.
• Mentor engineers on the team and help set the technical direction for ML at Iterable.

What We’re Looking For

• 5+ years of hands-on MLE experience putting complex models into production at scale.
• Databricks & Spark mastery: Real experience building, optimizing, and scaling production data pipelines using Databricks.
• Production-level Model Engineering: Proven track record of taking deep learning and ensemble architectures from training through optimization to production deployment.
• Production Code: Strong Python and/or Scala skills with an emphasis on readable, modular, and maintainable systems code.
• Systems & Infra Experience: Hands-on work with microservice backends, distributed compute (Ray/Spark), and containers (Kubernetes).
• Pragmatism: You care more about serving latency, reliability, and measurable customer impact than novel theoretical architectures.
• Prior work on large-scale recommendation systems.
• Experience setting up feature stores or model observability tools.
• Exposure to Infrastructure-as-Code (Terraform, Pulumi).

You Might Work On

• Building, evaluating, and integrating new models that add intelligence into our core product.
• Enhancing models that optimize send time and frequency of outgoing message campaigns.
• Designing data pipelines that make it easy to implement and test new models.
• Working with platform engineers to enhance our feature- and model-serving architecture.
• Benchmarking and improving our multi-armed bandit implementation.
• Building tools to visualize and debug features and models.

What we offer

• Private Medical Insurance
• 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

The base salary range for this position in Lisbon, Portugal, is €66,500 – €88,000 per year (gross).

Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.