Find Lead machine learning engineer Jobs in Kill, Ke

Staff Machine Learning Engineer
Sonatus —Dublin, County Dublin
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
- Work from home
Quick apply
4d
AI & Intelligent Automation Consultant (Retail Banking)
NTT Ltd —Dublin, County Dublin
- Hybrid work
- Mentoring
- AI
- Leadership
Databricks Solution Architect – Financial Crime & Banking
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
9d
Data Engineering Lead
Wibit Consulting & Services (WibitCS) —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Java
Quick apply
Engineering Manager
Learnosity —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- AWS
- Annual leave
- Employee assistance program
Quick apply
Senior Manager, Solutions Engineering, Okta
Okta —Dublin, County Dublin
- €140,000–€190,000 a year
- Sales
- Annual leave
2d
AI Solution Architect - AWS Senior Manager - Data & AI - Technology Consulting - Advisory
PwC —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- Master's degree
Applied Scientist, AI Ops Integration
Amazon EU SARL, Irish Branch —Dublin, County Dublin
- Full-time
- Doctoral degree
- Java
- Master's degree
9d
Senior AI Engineer
Citco —Dublin, County Dublin
- Full-time
- AWS
- AI
- Communication skills
Senior Cloud Networking Manager
eBay Inc. —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
Development Manager
Sentrium —Dublin, County Dublin
- Remote
- Team management
- AI
- Leadership
- Annual leave
Director, Finance Transformation
KAYAK —DUBLIN 2, County Dublin
- Full-time
- Remote
- Computer Science
- Engineering
- ERP systems
- Annual leave
- Employee assistance program
Quick apply
Director of Data Engineering
2K —Dublin, County Dublin
- DevOps
- Data analysis skills
- AI
Quick apply
Senior Engineer, Client Apps
Dolby —Dublin, County Dublin
- System design
- JavaScript
- Software development
Principal Data Scientist
iCims —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
- Annual leave
- Life insurance
PCIE SOC Application Engineer (Sr Staff)
Synopsys —Dublin, County Dublin
- Master's degree
- No degree
- In-person
9d
Senior Embedded Systems Design Engineer
Eaton —Dublin, County Dublin
- Computer Science
- System design
- C++
Staff AI Designer
Intercom —Dublin, County Dublin
- Hybrid work
- Annual leave
- Work from home
Enterprise Account Executive, Nordics
Pluralsight —Dublin, County Dublin
- Full-time
- No degree
- Contracts
- In-person
- Annual leave
4d
Okta on Okta Identity Architect
Okta —Dublin, County Dublin
- €128,000–€176,000 a year
- Remote
Quick apply
4d

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Staff Machine Learning Engineer

Sonatus
Dublin, County Dublin

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Job details

4 days ago

Benefits

Work from home

Qualifications

TensorFlow
Law
Doctoral degree
Computer Science
Software Engineering
Master's degree
C++
Bachelor's degree
Mentoring
Computer Engineering
Software development
Linux
ARM
Electrical Engineering
AI
Python
Debugging

Full job description

At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry—where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding.

Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility.

Sonatus is a global leader in the automotive industry providing key technologies that enable the intelligent software-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Staff Machine Learning Engineer to join our seasoned ML team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces and vehicle internal signals (Ethernet and CAN) to detect and predict health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline—from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have deep understanding and expertise of vehicle software and systems and other AI developers working on ML ops and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools.

This is a hybrid role out of our Dublin, IE, where you will be expected to work in our office 3 days a week. Option for remote work if located in different geographies.

Duties and Responsibilities

Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM) to process unstructured application logs, kernel traces and multi-modalities.
Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation.
Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors.
Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors.
Implement logic to correlate signal anomalies (e.g., voltage spikes, latency jitters), across different modalities with system events to identify root causes.
Port and optimize pytorch/TensorFlow models into production-grade for execution on CPU/GPU bound targets or embedded NPUs.
Apply quantization, pruning, distillation and memory optimization to ensure models run within strict RAM/Flash budgets (think MBs, not GBs).
Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud.
Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI.

Qualifications and Experience

Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field.
7+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems.
Proven experience mentoring junior engineers in software development.
Expert Python (for training) and decent working knowledge of modern C++ (C++14/17 for inference).
Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM.
Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), or lightweight LLMs/SLMs.
Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data.
Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs.
Experience deploying to Edge environments (e.g. ARM based), managing memory manually, and working with limited compute resources.
Candidates with a strong Computer Vision (CV) track record are highly encouraged to apply.

Desired Skills and Experience

MS/PhD in Computer Science, Engineering, or related fields.
Familiarity with Edge systems and preferably automotive (CAN (DBC files), UDS, SOME/IP, or MQTT
Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging.
Experience with NVIDIA TensorRT, Qualcomm SNPE.

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Refine Your Search

lead machine learning engineer jobs in kill, ke

Staff Machine Learning Engineer

AI & Intelligent Automation Consultant (Retail Banking)

Databricks Solution Architect – Financial Crime & Banking

Data Engineering Lead

Engineering Manager

Senior Manager, Solutions Engineering, Okta

AI Solution Architect - AWS Senior Manager - Data & AI - Technology Consulting - Advisory

Applied Scientist, AI Ops Integration

Senior AI Engineer

Senior Cloud Networking Manager

Development Manager

Director, Finance Transformation

Director of Data Engineering

Senior Engineer, Client Apps

Principal Data Scientist

PCIE SOC Application Engineer (Sr Staff)

Senior Embedded Systems Design Engineer

Staff AI Designer

Enterprise Account Executive, Nordics

Okta on Okta Identity Architect

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