# Senior ML Science Manager

**Company:** [Intercom](https://hotfix.jobs/companies/intercom)
**Location:** Dublin, Ireland
**Role:** ML Engineering
**Experience:** 5+ years
**Skills:** Machine Learning, Artificial Intelligence, Natural Language Processing, Deep Learning, Bayesian Methods, Reinforcement Learning, Clustering, SQL, Data Visualization, Software Engineering, Coding, Transformer Neural Networks, LLMs
**Posted:** 2026-07-20

> Leads and grows a team of ML scientists delivering user-facing machine learning products, while providing technical guidance and collaborating across ML, engineering, product, and design. Requires 5+ years of individual ML, AI, NLP, or data-related contributions and strong applied ML and coding skills.

## Job Description

## Responsibilities
- Manage, mentor, and coach a team of 10+ ML scientists across offices in Dublin, London, and Berlin.
- Collaborate with ML, engineering, product, and design leaders to shape the team’s work and product impact.
- Enable the team to achieve high productivity, performance, and reliability.
- Expand the team and promote its brand internally and externally through recruitment and event planning.

## Requirements
- Experience leading, developing, and supporting ML teams that deliver impact quickly.
- 5+ years of individual contributions in ML, AI, NLP, or a data-related field.
- Excellent applied machine learning and coding skills.
- Ability to thrive in ambiguous environments with a high degree of autonomy.
- Strong communication skills within technical teams and across disciplines.
- MSc or PhD in an ML-related field, or equivalent knowledge.

## Nice-to-haves
- Experience shipping ML user-facing products.
- Experience in a research environment.
- Deep experience in an applicable ML area such as NLP, deep learning, Bayesian methods, reinforcement learning, or clustering.
- Data skills including visualization and SQL.
- Deep knowledge of software engineering practices.
- Experience recruiting ML scientists as a hiring manager.

## Compensation and Benefits
- Competitive salary and equity.
- Lunch provided every weekday, snacks, and a fully stocked kitchen.
- Regular compensation reviews.
- Pension scheme with matching up to 4%.
- Life assurance and comprehensive health and dental insurance for employees and dependents.
- Flexible paid time off.
- Paid maternity leave and six weeks of paternity leave.
- Cycle-to-Work Scheme and secure bike storage.
- MacBooks are standard, with Windows available for certain roles.
- Hybrid working with at least three days per week in the office.

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