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Key skills for this role
Design and build Machine Learning platform components that support agentic systems, including retrieval pipelines, indexing strategies, and model integration layers.
Introduce and operationalize RAG use cases, from data sourcing and embedding generation to runtime retrieval patterns.
Develop generalized evaluation frameworks for LLM- and agent-based features, including offline metrics, golden datasets, and continuous monitoring.
Implement abstractions, tooling, and reusable patterns that enable other teams to build ML- and LLM-powered experiences efficiently.
Partner with backend engineers to productionize ML features with strong reliability, observability, and performance characteristics.
Prototype applied ML solutions to validate feasibility before investing in full builds.
Ensure secure, robust handling of data used in ML workflows and retrieval operations.
Collaborate with product, design, and engineering to align ML system design with user experience and product goals.
Contribute to iterative improvements of the Nova agent framework, including workflows built with Mastra and TypeScript.
5+ years of experience as a Machine Learning Engineer or similar role focused on production systems.
Strong engineering skills with Python or TypeScript, including experience building ML workflows in frameworks like Mastra or comparable agent/LLM toolkits.
Experience with retrieval systems, vector databases, search technologies, or RAG architectures.
Prior work integrating ML or LLM-powered features into production applications.
Understanding of ML evaluation techniques, experimentation design, and failure analysis.
Ability to lead complex projects, make practical trade-offs, and work independently in areas of ambiguity.
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Strong communication and collaboration skills in a distributed environment.
Experience building ML or LLM platforms, tooling, or developer-facing frameworks.
Prior work with embeddings, search–ranking systems, or advanced RAG architectures.
Familiarity with event-driven systems or streaming architectures.
Experience with model observability, performance monitoring, or proactive regression detection.
Background in personalization, recommendations, or applied NLP.
Experience working in remote-first engineering teams.
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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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 talent-ops@iterable.com 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.
AI-powered cross-channel marketing platform that helps brands deliver personalized customer experiences across email, SMS, push, and in-app messaging.
Visit company websiteJobs and hiring trendsEUR 66500-88000 / year
Senior · 5+ years experience
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