Machine Learning Engineer...

London / Product & Technology - AD/ADAS / Employee
/ hybrid Woven by Toyota is the mobility technology subsidiary of
Toyota Motor Corporation. Our mission is to deliver safe,
intelligent, human-centered mobility for all. Through our Arene
mobility software platform, safety-first automated driving
technology and Toyota Woven City — our test course for advanced
mobility — we’re bringing greater freedom, safety and happiness to
people and society. Our unique global culture weaves modern Silicon
Valley innovation and time-tested Japanese quality craftsmanship.
We leverage these complementary strengths to amplify the
capabilities of drivers, foster happiness, and elevate well-being.
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 - Support
the 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; -
Able to navigate ambiguities and address uncertainties arising from
complex projects involving multiple teams and legacy codebases; -
Writes high-quality code while being rigorous with Machine Learning
experimentation; - 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) - Experience with data sampling and
data curation pipelines for autonomous driving datasets -
Experience in state-of-the-art architectures for end-to-end
autonomous driving - Experience in ML workflows: data sampling and
curation, pre-processing, model training, ablation studies,
evaluation, deployment, inference optimization - Python and C++
experience - Experience with infrastructure for large-scale
datasets and distributed model training - Experience working with a
modern cloud service (AWS, GCP, Azure etc.) Nice to Have - Hands-on
experience with autonomous driving systems - Experience with model
deployment with NVIDIA stack (e.g. ONNX graphs, TensorRT,
profiling) - Familiarity with recent breakthroughs in ML (e.g.
foundation models, pre-training and efficient fine-tuning,
multimodal Transformer architectures) - Knowledge of autonomous
driving, large-scale data curation pipelines 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 ・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. #J-18808-Ljbffr