Find Machine learning engineer Jobs in Dublin, D

Senior Product Manager, GenAI Content Safety
Google —Dublin, County Dublin
- Full-time
- Master's degree
- Bachelor's degree
- No degree
2d
Principal Data Scientist
iCims —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
- Annual leave
- Life insurance
Cloud Support Consultant
Codec —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Oracle
- DevOps
Quick apply
Graduate Opportunity - Consultant in GenIA (Located in San Francisco Office)
Sia —Dublin, County Dublin
- Full-time
- Engineering
- English
- Master's degree
- Life insurance
Quick apply
Senior ML Science Manager
Intercom —Dublin, County Dublin
- Hybrid work
- Doctoral degree
- Research
- Master's degree
- Annual leave
- Work from home
Senior Analyst - Credit Risk & Eligibility
M-KOPA —Dublin, County Dublin
- Full-time
- Remote
- SQL
- Communication skills
- Python
VP of Quantum Software Engineering
Equal1 —Dublin, County Dublin
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Quick apply
Enterprise Account Executive, Growth & Acquisition
Pluralsight —Dublin, County Dublin
- Full-time
- Sales
- Master's degree
- Business development
- Annual leave
Senior Azure DevOps Engineer (MLOps)
Version 1 —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Oracle
- Computer Science
- Employee assistance program
- Employee discount
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Model Risk and Validation Lead
Meta —Dublin, County Dublin
- SQL
- AI
- Leadership
3h

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Senior Product Manager, GenAI Content Safety

Google -
Dublin, County Dublin

Apply Now

Job details

Full-time
2 days ago

Qualifications

Master's degree
Bachelor's degree
Product development
Product management
AI
Business

Full job description

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
8 years of experience in product management or related technical role.
4 years of experience developing or launching products or technologies within security, privacy, or a related area.
3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
2 years of experience in ML/AI product development.
Experience in building and shipping machine learning classifiers, recommendation systems, or search algorithms.

Preferred qualifications:

Master's degree in a technology or business related field.
5 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
5 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
1 year of experience in safety-critical, fraud, abuse, or trust and safety systems.
Track record of managing system trade-offs (precision vs. recall) in a scale-heavy detection or content moderation environment.

About the job

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Responsibilities

Drive the roadmap to scale how Core addresses harmful content.
Improve the recall of our safety systems by scoping, building, and launching advanced safety protections.
Build robust feedback loops to measure signal performance and understand how well detection systems are achieving safety goals. Design resilient systems to respond excellently to high-sensitivity risk areas.
Partner with Google Deepmind (GDM) and Trust and Safety (T&S) teams to identify and prioritize emerging risk areas and design and implement end-to-end systems to mitigate those gaps.
Expand the usability and adoption of these signals via tooling improvements, with a deep understanding of current and future operational constraints.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Apply Now

Refine Your Search

machine learning engineer jobs in dublin, d

Senior Product Manager, GenAI Content Safety

Principal Data Scientist

Cloud Support Consultant

Graduate Opportunity - Consultant in GenIA (Located in San Francisco Office)

Senior ML Science Manager

Senior Analyst - Credit Risk & Eligibility

VP of Quantum Software Engineering

Enterprise Account Executive, Growth & Acquisition

Senior Azure DevOps Engineer (MLOps)

Model Risk and Validation Lead

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