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Iterable

Senior Machine Learning Engineer (Nova)

Iterable · Hybrid - Lisbon, Portugal

Posted about 3 months ago

or apply directly on Iterable's site. We never take the application ourselves.

Is this posting real?

This role has been open
82 days
Iterable's roles stay open a median of 83 days
Reposted
No
Salary listed
No
37% of Iterable's roles list one
Ghost-job risk at Iterable
high
19 stale, 1 reposted of 19 open
Hiring momentum
37 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-25

Measured from postings appearing on and disappearing from Iterable's own greenhouse board since 2026-08-03. Full hiring picture for Iterable.

About this role

As an AI Engineer at Iterable, you will focus on building the core machine learning foundations that support Nova's agentic experiences. Your day-to-day tasks will include designing and implementing machine learning platform components, developing evaluation frameworks, and collaborating with cross-functional teams to integrate ML features into the Iterable platform. You will also prototype applied ML solutions and ensure the secure handling of data used in ML workflows.

Our read on this posting2.8out of 5
benefits
5/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Iterable as an employer.

What you need

  • 5+ years of experience as a Machine Learning Engineer or similar role focused on production systems
  • Strong engineering skills with Python or TypeScript
  • 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

Nice to have

  • 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

What you get

  • 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)

Worth weighing

  • No salary listed in the job description, only a range provided
  • The role requires strong collaboration in a distributed environment, which may not suit everyone
  • The job involves working with complex ML systems and may require navigating ambiguity frequently

Summarised from Iterable's posting. Read the full original.

Listed by Iterable on their greenhouse job board, last confirmed open on 2026-10-25. PitchMeAI is not the employer.

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