Machine Learning Autonomy Software Engineer
14 hours ago
Waabi is revolutionizing the self-driving industry with its cutting-edge technology. As a Senior/Staff Machine Learning Engineer, you will be part of a world-class team developing the next generation of autonomy software.
About Waabi
Waabi is an AI company founded by Raquel Urtasun, a pioneer in the field. Our mission is to make self-driving technology a reality by leveraging the power of artificial intelligence. With offices in Toronto and San Francisco, we are growing rapidly and seeking talented individuals to join our team.
Job Description
- Contribute to the development of self-driving engineering foundations for the next generation of autonomy software.
- Implement and improve machine learning training and inference pipelines.
- Make iterations on models for improvements.
- Identify, propose, and build infrastructure, data, and computation pipelines, data storage strategies, common libraries, and useful tools needed to optimize research and development of deep-learning models.
Requirements
- M.S./Ph.D. or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics, and/or similar technical field(s) of study.
- Solid coding proficiency in Python or C++.
- Experience in reading and developing production quality software versus creating prototypes/proof of concepts.
- Experience in software architecture, system performance, latency, and data flow.
- Experience in Machine Learning.
- Understanding of parallel machine learning training and model deployment (e.g., TensorRT conversion).
- Ability to productionize machine learning models.
- Experience building software solutions on cloud infrastructure.
- Ability to rapidly prototype and test new algorithms.
- Solid problem-solving skills using linear algebra, geometry, statistics, and probability.
- Open-minded and collaborative team player with a willingness to help others.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
Bonus Requirements
- Experience designing and implementing tools for automated model tuning and hyper-parameter optimization, as well as experiment analysis.
- Experience in Deep learning frameworks such as PyTorch and TensorFlow.
- Experience with automated testing.
- Experience working in an Agile/Scrum environment.
Salary Information
The estimated salary for this role is $158,000 - $269,000 USD per year, in addition to competitive perks and benefits.
Benefits
- Competitive compensation and equity awards.
- Health and wellness benefits encompassing medical, dental, and vision coverage (for full-time employees only).
- Unlimited vacation.
- Flexible hours and work-from-home support.
- Daily drinks, snacks, and catered meals (when in office).
- Regularly scheduled team-building activities and social events both on-site, off-site, and virtually.
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