Senior Machine Learning Engineer, Frameworks
Company: Woven
Location: Palo Alto
Posted on: January 30, 2025
Job Description:
Senior Machine Learning Engineer, FrameworksPalo Alto, CA / Ann
Arbor, MI / Product & Technology - AD/ADAS / Employee / hybridWoven
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.TEAMAt Woven
by Toyota, we tackle Autonomy challenges at the intersection of AI,
Robotics, and Advanced Driving. Our work involves a variety of
challenges, such as analyzing petabytes of multimodal driving data,
solving optimization problems, minimizing latency on hardware
accelerators, deploying scalable and efficient machine learning
(ML) training and evaluation pipelines, and designing novel neural
network architectures to advance state-of-the-art ML for
Perception, Prediction, and Motion Planning. We are looking for
doers and creative problem solvers to join us in improving mobility
for everyone with human-centered automated driving solutions for
personal and commercial applications.WHO ARE WE LOOKING FOR?The
team is looking for a skilled Machine Learning Engineer to work in
close collaboration with our ML teams to build efficient cloud and
data curation pipelines, automated training, evaluation and release
pipelines, as well as providing introspection tools in our data.
You will have the chance to design and implement innovative machine
learning pipelines, and help accelerate the release of models for
our next-generation autonomous vehicle platform, influencing
millions of Toyota customer vehicles. We are looking for
individuals who are passionate about self-driving car technology
and its potential impact on humanity.RESPONSIBILITIES
- Develop foundational ML components to improve speed and ease of
development of advanced machine learning models specifically
tailored for autonomous vehicles utilizing deep learning and
large-scale data.
- Deploy extensible, scalable and efficient ML data curation,
training and evaluation cloud pipelines.
- Analyze model performance metrics, model failure modes,
statistical relevance of datasets, etc. to guide the overall ML
engineering effort.
- Integrate modern technologies with rigorous safety standards
while maintaining cost efficiency.
- Significantly contribute to the development of needed
components for end-to-end ML training and deployment, from data
strategy to optimization and validation.
- Operate cross-functionally and serve a dual hat role in
identifying opportunities to improve production models while also
trailblazing and generalizing involved methods and toolings to
empower others.
- Be a champion of the scientific method and critical thinking in
inventing state-of-the-art deep learning solutions.
- Work in a high-velocity environment and employ agile
development practices.
- Exhibit a "Giver" mindset, proactively asking, "What can I do
for you?" to facilitate production development processes while
maintaining a "get things done" mentality.
- Work in a hybrid workspace, with the requirement to be present
in our Nihonbashi (Japan), Palo Alto (California), or Ann Arbor
(Michigan) offices three days per week.MINIMUM QUALIFICATIONS
- BSc / BEng (MS / PhD nice-to-have) in Machine Learning,
Computer Science, Robotics or related quantitative fields, or
equivalent industry experience.
- 3+ years of experience with Python, PyTorch/Tensorflow, and
software engineering best practices.
- 2+ years of experience covering machine learning workflows,
data sampling and curation, pre-processing, model training,
ablation studies, evaluation, deployment, and inference
optimization.
- Comfortable in writing C++ code to help integrate with our
autonomous vehicle platform.
- Deep understanding of runtime complexity, space complexity,
distributed computing, and the application of these concepts in
concrete, distributed ML training and evaluation.
- Experience working with temporal data and/or sequential
modeling.
- Strong communication skills with the ability to communicate
concepts clearly and precisely.NICE TO HAVES
- Experience with deep learning approaches such as
supervised/unsupervised learning, transfer learning, multi-task
learning, and/or deep reinforcement learning.
- 2+ years of experience with Apache Spark, Airflow, Flyte,
Flink, Ray, or similar ML pipelines technologies.
- Experience deploying and tuning ML models onto custom edge
hardware in robotics applications.
- Previously worked at, or in close collaboration with ML
Research Engineers to deliver a solid software foundation that
other ML Engineers can build on.
- Proven track record of deploying ML models at scale in
self-driving or related fields.
- Familiarity with production-level coding in time-limited task
schedules.
- Experience in self-driving, robotics, computer vision, or
motion planning.For California: The base pay for this position
ranges from $140,000- $230,000 a year.Your base salary is one part
of your total compensation. We offer a base salary, short term and
long term incentives, and a comprehensive benefits package. The
total compensation offered to an employee will be dependent upon
the individual's skills, experience, qualifications, location, and
level.WHAT WE OFFERWe 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 benefitsOur 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
Keywords: Woven, Rancho Cordova , Senior Machine Learning Engineer, Frameworks, Engineering , Palo Alto, California
Didn't find what you're looking for? Search again!
Loading more jobs...