Senior Machine Learning Engineer
Primary stack
Nice to have's
Job description
Senior Machine Learning Engineer
About the Position
Join Iterable as a Senior Machine Learning Engineer to design and build end-to-end machine learning systems for our AI customer engagement platform.
Location
- City: Lisbon
- Country: Portugal
- Remote: No
Employment Type
- Type: Full-time
Compensation
- Base Salary: €66,500 – €88,000 per year (gross)
About the Company
Iterable is the AI customer engagement platform, built for enterprise scale, loved by teams, and trusted by global brands like Redfin, SeatGeek, Priceline, Calm, and Box. Our platform empowers organizations to activate customer data from any source, design seamless cross-channel experiences, and optimize engagement with Nova Intelligence, the AI layer of our platform, 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.
Responsibilities
- 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.
Requirements
- 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.
Nice to Have
- Prior work on large-scale recommendation systems.
- Experience setting up feature stores or model observability tools.
- Exposure to Infrastructure-as-Code (Terraform, Pulumi).
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
Recruitment Disclaimer
Please be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not:
- Send job offers from free email services like Gmail, Yahoo mail, Hotmail, etc.
- Request money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e.g. for home office supplies, or training, etc.).
- Request or require personal documents like bank account details, tax forms, or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable.
You may see all job vacancies on our official Iterable channels:
- Official Iterable website, Careers page: https://iterable.com/careers/
- Official LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/
Iterable is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized, encouraged, or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore, please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at [email protected] upon receiving a suspicious job offer.
Criminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors.
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.
© Iterable. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
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