Find Machine learning engineer Jobs in Clonee, Mh

Senior Software Engineer, Inference
Anthropic —Dublin, County Dublin
- €235,000–€295,000 a year
- Master's degree
- AWS
- Bachelor's degree
Senior Engineering Analyst
YouTube —Dublin, County Dublin
- €118,000–€121,000 a year
- Full-time
- Master's degree
- SQL
- C++
9d
Senior Engineer, Client Apps
Dolby —Dublin, County Dublin
- System design
- JavaScript
- Software development
Senior Manager, Solutions Engineering, Okta
Okta —Dublin, County Dublin
- €140,000–€190,000 a year
- Sales
- Annual leave
4d
Sr. Technical Program Manager, AWS Manufacturing Operations
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- AWS
Newly/Nearly qualified actuary
AXA —DUBLIN 1, County Dublin
- SQL
- Communication skills
- Python
Software Engineer - Observability
Microsoft —Dublin, County Dublin
- €63,400–€105,700 a year
- Full-time
- Azure
- Computer Science
- DevOps
Capacity Planning Manager, CDP EMEA
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Leadership
- Analytics
Senior Machine Learning Scientist
Intercom —Dublin, County Dublin
- Hybrid work
- Doctoral degree
- Research
- Master's degree
- Annual leave
- Work from home
Machine Learning Engineer
DocuSign —Dublin, County Dublin
- Azure
- Computer Science
- Master's degree
12d
Senior Solutions Engineer,Auth0
Okta —Dublin, County Dublin
- €104,000–€143,000 a year
- Sales
- Java
- Presentation skills
Quick apply
Defect equipment Systems Engineer
Intel —Leixlip, County Kildare
- €59,200–€111,300 a year
- Full-time
- Software troubleshooting
- Engineering
- Data analysis skills
13d
Senior AI Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- AWS
Field Service - Early Career Engineers
Applied Materials —Leixlip, County Kildare
- €36,000–€49,500 a year
- Weekend availability
- Master's degree
- Bachelor's degree
- Hand tools
Lead Software Engineer - Workforce Experience Technology (Backend, AWS)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- System design
- Java
- AWS
Build the Future of AI with Us – Dublin (Hybrid)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- AI
- Annual leave
Quick apply
Commercial Counsel, EMEA
Anthropic —Dublin, County Dublin
- €165,000–€210,000 a year
- Hybrid work
- Sales
- Bachelor's degree
- Contracts
Project Engineer
West Pharmaceutical Services —Dublin, County Dublin
- €51,040–€64,960 a year
- Overtime
- Engineering
- Microsoft Office
- Project management
13d
Staff Machine Learning Engineer
Sonatus —Dublin, County Dublin
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
- Work from home
Quick apply
6d
Senior Staff Machine Learning Scientist, Recommendations
Sirius XM —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Java
- Master's degree

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Senior Software Engineer, Inference

Anthropic -
Dublin, County Dublin

Apply Now

Job details

€235,000–€295,000 a year

Qualifications

Data modelling
Rust (programming language)
Law
Kubernetes
Load balancing
Google Cloud Platform
Master's degree
AWS
Bachelor's degree
Distributed systems
Communication skills
Python

Full job description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role:

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.

The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

Strong candidates may also have experience with:

High-performance, large-scale distributed systems
Implementing and deploying machine learning systems at scale
Load balancing, request routing, or traffic management systems
LLM inference optimization, batching, and caching strategies
Kubernetes and cloud infrastructure (AWS, GCP)
Python or Rust

You may be a good fit if you:

Have significant software engineering experience, particularly with distributed systems
Are results-oriented, with a bias towards flexibility and impact
Pick up slack, even if it goes outside your job description
Want to learn more about machine learning systems and infrastructure
Thrive in environments where technical excellence directly drives both business results and research breakthroughs
Care about the societal impacts of your work

Representative projects across the org:

Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
Building production-grade deployment pipelines for releasing new models to millions of users
Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
Contributing to new inference features (e.g., structured sampling, prompt caching)
Supporting inference for new model architectures
Analyzing observability data to tune performance based on real-world production workloads
Managing multi-region deployments and geographic routing for global customers

Deadline to apply: None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

€235.000 - €295.000 EUR

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Apply Now

Refine Your Search

machine learning engineer jobs in clonee, mh

Senior Software Engineer, Inference

Senior Engineering Analyst

Senior Engineer, Client Apps

Senior Manager, Solutions Engineering, Okta

Sr. Technical Program Manager, AWS Manufacturing Operations

Newly/Nearly qualified actuary

Software Engineer - Observability

Capacity Planning Manager, CDP EMEA

Senior Machine Learning Scientist

Machine Learning Engineer

Senior Solutions Engineer,Auth0

Defect equipment Systems Engineer

Senior AI Engineer

Field Service - Early Career Engineers

Lead Software Engineer - Workforce Experience Technology (Backend, AWS)

Build the Future of AI with Us – Dublin (Hybrid)

Commercial Counsel, EMEA

Project Engineer

Staff Machine Learning Engineer

Senior Staff Machine Learning Scientist, Recommendations

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About Anthropic

About the role:

Strong candidates may also have experience with:

You may be a good fit if you:

Representative projects across the org:

Logistics

How we're different

Come work with us!

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