Senior Deep Learning Research Engineer - Edge AI Multimodal

Plumerai; Greater London; On-site; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Relocation assistance

Generous equity stake

Choose your own laptop and equipment

25 days of paid vacation time

Conferences like NeurIPS, ICML, CVPR

Job summary

Plumerai in London is seeking a Senior Deep Learning Research Engineer to help build state-of-the-art AI for embedded devices. You will design and train models, improve data pipelines, and implement novel approaches for on-device and edge deployments.

You will work with multimodal LLMs, PyTorch/TensorFlow, and Kubernetes, deploying workloads on GCP and building efficient AI for cameras used by millions.

Qualifications

• 5+ years of professional software engineering experience with Python.
• Experience with PyTorch, TensorFlow, Keras, or JAX.
• Strong background in computer vision and multimodal LLMs.
• Neural networks moved into production.

Responsibilities

• Develop and improve state-of-the-art AI features for embedded cameras.
• Train, design, and deploy models on cloud and edge devices.
• Enhance data pipelines and training software with novel approaches.
• Leverage Kubernetes, PyTorch, and TensorFlow for scalable training.

Skills

+5 years of professional software eng.

Python

Multimodal LLMs

Computer vision

Production-grade models

Tools

Kubernetes

PyTorch

TensorFlow

Keras

JAX

Snowflake

Dataflow

Streamlit

GCP

Job description

Plumerai in London is seeking a Senior Deep Learning Research Engineer to help build state-of-the-art AI for embedded devices. You will design and train models, improve data pipelines, and implement novel approaches for on-device and edge deployments.

You will work with multimodal LLMs, PyTorch/TensorFlow, and Kubernetes, deploying workloads on GCP and building efficient AI for cameras used by millions.