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Senior Machine Learning Engineer

Latinxinai

London

On-site

GBP 70,000 - 130,000

Full time

2 days ago
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Job summary

A leading AI company is seeking a Senior Machine Learning Engineer to join their London team. This role focuses on developing cutting-edge ML solutions for autonomous driving, contributing to innovative projects involving state-of-the-art neural networks and deep learning techniques. Ideal candidates should have strong experience with ML frameworks, a solid background in computer vision, and the ability to collaborate effectively across teams.

Benefits

Excellent health, wellness, dental and vision coverage
A rewarding pension
Flexible vacation policy
Family planning and care benefits

Qualifications

  • Professional experience with ML frameworks such as PyTorch and TensorFlow.
  • Knowledge of neural networks and ML workflows.
  • Experience in 3D computer vision and object detection.

Responsibilities

  • Drive design and development of ML models for autonomous driving.
  • Collaborate with cross-functional teams to define requirements.
  • Guide team members in ML best practices and code quality.

Skills

Machine Learning
Deep Learning
3D Perception
Python
C++

Education

MS or higher in a related field

Tools

PyTorch
TensorFlow
NVIDIA CUDA

Job description

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Senior Machine Learning Engineer

Woven

Full-time

On-site

London, United Kingdom

Technology

Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society.

Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all.

Team

At Woven by Toyota, we are at the forefront of developing advanced Machine Learning solutions for autonomous driving. Our team tackles groundbreaking challenges in designing state-of-the-art neural networks, pioneering innovative end-to-end architectures, and advancing ML techniques in perception, prediction, and motion planning. We're passionate about pushing the boundaries of autonomous systems through deep learning and optimization, particularly in complex 3D geometric computer vision scenarios. We're seeking passionate innovators and creative problem-solvers eager to redefine mobility through cutting-edge AI and robotics, contributing directly to shaping the future of self-driving technology.

Woven by Toyota is developing a joint project between Toyota Research Institute (TRI) and Woven by Toyota to research and develop a fully end-to-end learned automated driving / ADAS stack. This cross-org collaborative project is synergistic with TRI’s robotics division’s efforts in Diffusion Policy and Large Behavior Models (LBM).

Responsibilities

  • Own design and development of ML models or model components for end-to-end autonomous driving: ranging from initial data strategy, design, development, experimentation, evaluation and deployment.
  • Resolve ambiguities and address uncertainties arising from complex projects involving multiple teams and legacy codebases.
  • Enable and help other colleagues on the team to be more effective through leading by example when it comes to writing high-quality code, being rigorous with Machine Learning experimentation and knowledge sharing.
  • Collaborate closely with stakeholders from multiple teams in different time-zones to define interfaces and requirements for an end-to-end stack.

Experience

  • MS, or higher degree, in a related field, or equivalent industry experience
  • Professional experience with ML frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred)
  • Knowledge of debugging and profiling deep neural networks on NVIDIA CUDA stack
  • Experience in state of the art architectures for object detection and 3D perception
  • Experience in ML workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization
  • Python and C++ experience
  • Hands-on experience with building a perception stack for autonomous systems
  • Familiarity with recent breakthroughs in ML (e.g. foundation models, pre-training and efficient fine-tuning, multimodal Transformer architectures)
  • Hands-on experience with large-scale distributed training

Nice to Have

  • Hands-on experience with building a perception stack for autonomous systems
  • Experience with model deployment with NVIDIA stack (e.g. ONNX graphs, TensorRT, profiling)
  • Experience with PyTorch and Computer Vision for sensor fusion (e.g. BEV representations)
  • Experience with embedded ML platforms and real-time OSes

What We Offer

We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.

Excellent health, wellness, dental and vision coverage

A rewarding pension

Flexible vacation policy

Family planning and care benefits

Our Commitment

・We are an equal opportunity employer and value diversity.

・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.

Seniority level
  • Seniority level
    Not Applicable
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    Research Services

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