Find Machine learning engineer Jobs in Sandyford County Dublin

Sr Applied Scientist
2K —Dublin, County Dublin
- Doctoral degree
- Master's degree
- SQL
Quick apply
System Development Engineer II, Enterprise Productivity MailBoxCore Team
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- DevOps
- Java
Senior Software Engineer, Java
Telnyx —Dublin, County Dublin
- Remote
- Computer Science
- Java
- No degree
Quick apply
VP of Quantum Software Engineering
Equal1 —Dublin, County Dublin
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Quick apply
AI Research Engineer (Model Compression & Quantization)
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Senior Engineering Manager, Embedded Product Security
Dolby —Dublin, County Dublin
- Computer Science
- Research
- Master's degree
Okta on Okta Identity Architect
Okta —Dublin, County Dublin
- €128,000–€176,000 a year
- Annual leave
Senior AI/ML Computational Scientist
Accenture —Dublin, County Dublin
- Full-time
- Computer science
- Doctoral degree
- Computer Science
1d
ASIC Digital Design, Sr Engineer
Synopsys —Dublin, County Dublin
- Master's degree
- Bachelor's degree
- No degree
Principal Security Engineer, AWS Security
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Leadership
- Python
Lead Databricks Architect
NTT Ltd —Dublin, County Dublin
- Full-time
- Hybrid work
- AI
- Leadership
- Communication skills
Director of Data Engineering
2K —Dublin, County Dublin
- DevOps
- Data analysis skills
- AI
Quick apply
ASIC Digital Design, Principal Engineer
Synopsys —Dublin, County Dublin
- Computer Science
- Engineering
- Bachelor's degree
Senior SDK Hardware Simulator Engineer
Innatera Nanosystems —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- C++
Quick apply
Data Engineering Lead – English Speaker – Office Based
SpotOn TA —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Engineering
Growth Manager - EdTech (French fluent)
Paradox —Dublin, County Dublin
- Full-time
- Remote
- English
- Communication skills
Senior Engineering Manager, Customer Agent
Intercom —Dublin, County Dublin
- Hybrid work
- Sales
- AI
- Annual leave
- Work from home
Lead Software Engineer (DevOps)
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- DevOps
13d
Data Engineering Lead
Wibit Consulting & Services (WibitCS) —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Java
Quick apply
ASIC Design/Verification, Architect
Synopsys —Dublin, County Dublin
- Analysis skills
- Communication skills

I want to receive the latest job alerts for machine learning engineer in sandyford county dublin

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

machine learning engineer jobs near sandyford county dublin

Senior Java Developer jobs in Dublin, County Dublin

Engineering Manager jobs in Dublin, County Dublin

Senior Software Engineer jobs in Dublin, County Dublin

Data Engineer jobs in Dublin, County Dublin

Digital Designer jobs in Dublin, County Dublin

Senior Engineering Manager jobs in Dublin, County Dublin

Design Verification Engineer jobs in Dublin, County Dublin

Software Engineer jobs in Budapest

Pfizer, Grange Castle Engineering jobs in Dublin, County Dublin

Engineering jobs in Ballinrobe, County Mayo

Data Protection jobs in County Cork

Work From Home, Data Entry jobs in Limerick, County Limerick

Data Governance jobs in Dublin, County Dublin

Developer Coding jobs in Dublin, County Dublin

Senior Administrator jobs in Cork, County Cork

Senior System Engineer jobs in Duleek, County Meath

Senior System Engineer jobs in Cork, County Cork

Quality Engineer jobs in Galway, County Galway

Arabic Speaker jobs in Dublin Airport, County Dublin

French Speaker jobs in Dublin, County Dublin

Sr Applied Scientist

2K -
Dublin, County Dublin

Quick apply

Job details

Qualifications

TensorFlow
Doctoral degree
Big data
Spark
Master's degree
SQL
AWS
Scripting
Predictive analytics
Communication skills
Python
Analytics

Full job description

Who We Are

At 2K, we create some of the most iconic and culture-shaping video games in entertainment, including NBA® 2K, one of the top-selling franchises in the world, and legendary titles like BioShock®, Borderlands®, Mafia, Sid Meier's Civilization®, and XCOM®, as well as fan favorites WWE® 2K, TopSpin®, and PGA TOUR® 2K. We build unforgettable experiences by pushing the boundaries of creativity, authenticity and innovation across every genre.

Our portfolio is brought to life by some of the most influential game development studios in the world. Visual Concepts, Firaxis Games, Hangar 13, Cat Daddy Games, 31st Union, Cloud Chamber, Gearbox, HB Studios, and 2K SportsLab create world-class experiences across platforms.

But what truly powers 2K is our people.

We believe the best ideas come from teams that feel empowered, supported, and inspired. As an equal opportunity employer, we are committed to fostering a diverse, inclusive workplace where people are encouraged to come as they are and do their best work.

What We Need

2K is looking for a Sr. Applied Scientist to join the Applied AI Team in the Product Organization, with a focus on our flagship franchise NBA 2K. Our team leverages AI, machine learning, statistics, and operations research, and economics to build systems that power core game experiences. We develop algorithmic solutions in areas such as matchmaking, in-game experience personalization, player engagement, in-game economy, content optimization, and fraud detection.

What You'll Do

Design, develop, and iterate on machine learning models that directly impact in-game experiences and core systems (e.g., matchmaking, skill rating systems, recommender systems).
Build and refine representation learning models to capture player skill, lineup/build strength, and interaction patterns from sequential gameplay data.
Stay informed on state-of-the-art techniques, evaluate their applicability, and lead efforts to integrate promising methods into our systems.
Formulate ambiguous product problems into well-defined machine learning tasks.
Lead technical discussions, advocate for best practices in model development and deployment, and ensure scientific rigor.
Collaborate closely with engineers, MLEs, and product stakeholders to integrate models into production systems and influence game design decisions.

What Will Make You A Great Fit

We are seeking a senior scientist with strong foundations in machine learning and statistics, combined with hands-on experience building and applying models to real-world problems. The ideal candidate is comfortable working with imperfect data, defining problems from scratch, and applying modern modeling approaches—including deep learning and representation learning—to generate meaningful impact.

They should be a curious, solution-oriented problem solver who can move between research ideas and practical implementation, and who takes ownership of their work end-to-end.

Requirements:

Master's or Ph.D. in a quantitative field (Mathematics, Statistics, Physics, Computer Science, Operations Research, Industrial Engineering, Electrical Engineering).
Proven experience in applied science, machine learning, or data science roles, including experience deploying ML models in production environments.
Proven experience with deep learning, representation learning, embedding models, or self-/semi-supervised learning.
Fluency in Python and SQL (or similar scripting languages). Experience with big data technologies such as Apache Spark.
Working knowledge of machine learning modeling/computation frameworks such as PyTorch or Tensorflow.
Demonstrated ability to work independently, rapidly prototype solutions, and test new ideas.
Strong communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.

Preferred Qualifications (Helpful, but Not Required):

Experience with recommendation systems, ranking systems, or user behavior modeling.
Experience with sequence models (e.g., RNNs, Transformers), graph-based approaches, or autoencoders.
Familiarity with cloud services (such as AWS), containerization, model orchestration, and model serving.
Familiarity with sports analytics, sports predictive modeling, or NBA domain knowledge is a plus.
Interest in understanding video games as products.

As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation.

Please note that 2K Games and its studios never uses instant messaging apps or personal email accounts to contact prospective employees or conduct interviews and when emailing, only use 2K.com accounts.

#LI-Hybrid

Quick apply

Refine Your Search

machine learning engineer jobs in sandyford county dublin

Sr Applied Scientist

System Development Engineer II, Enterprise Productivity MailBoxCore Team

Senior Software Engineer, Java

VP of Quantum Software Engineering

AI Research Engineer (Model Compression & Quantization)

Senior Engineering Manager, Embedded Product Security

Okta on Okta Identity Architect

Senior AI/ML Computational Scientist

ASIC Digital Design, Sr Engineer

Principal Security Engineer, AWS Security

Lead Databricks Architect

Director of Data Engineering

ASIC Digital Design, Principal Engineer

Senior SDK Hardware Simulator Engineer

Data Engineering Lead – English Speaker – Office Based

Growth Manager - EdTech (French fluent)

Senior Engineering Manager, Customer Agent

Lead Software Engineer (DevOps)

Data Engineering Lead

ASIC Design/Verification, Architect

I want to receive the latest job alerts for machine learning engineer in sandyford county dublin

Related Searches

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected