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    Senior Engineer - Toronto, Canada - Oxa Autonomy

    Oxa Autonomy
    Oxa Autonomy Toronto, Canada

    2 weeks ago

    Default job background
    Full time
    Description

    Your Role

    As our Senior Engineer (Reasoning ML), you will take a leading role within your team to research, develop and deploy machine learning models enabling new behavioural capabilities and improvements in Oxa Driver, while remaining aligned to business needs and long-term architectural strategy. You will also actively participate in operational support for your team, ensuring the root causes of operational issues are identified and resolved, and drive improvements to product quality, customer experience, and maintainability.

    You will:

  • Take a leading role within your team to research, develop and deploy state of the art machine learning models and architectures in support of behaviour planning and decision making for autonomous vehicles.
  • Create and curate datasets for training and validation of machine learning models.
  • Design and develop high quality inference APIs, and support integration of deployed models into Oxa Driver.
  • Build cloud tooling and infrastructure in support of experimentation, evaluation and deployment workflows.
  • Design and implement metrics for model validation and continuous monitoring in production.
  • Engage with team members and colleagues throughout the business to create an environment that supports collaboration and mutual understanding.
  • Contribute to hiring and onboarding by defining role responsibilities and requirements, leading interviews, engaging in recruiting outreach for your team, and mentoring and developing new team members.

    • Requirements

    What you need to succeed:

  • Degree in Computer Science, Robotics or a related field (, Engineering, Physics, Mathematics).
  • 3+ years of relevant professional experience in industry or academia.
  • Experience developing deep learning models for Prediction, Decision Making or Planning for autonomous vehicles.
  • Fluency in Python and working knowledge of C++.
  • Experience with modern deep learning frameworks (, PyTorch, TensorFlow)
  • Proven record of leading and delivering projects as part of a team.
  • Effective technical communication and leadership skills.
  • An appreciation for the role of safety, security and ethics in robotics and AI.

    • Extra kudos:

  • PhD or MSc in Computer Science or Robotics.
  • Relevant publications or talks at industry conferences or in journals.
  • Familiarity with open benchmark datasets for autonomous vehicles (, Waymo, nuScenes/nuPlan, Argoverse, Level 5, etc.)
  • Experience developing and fielding autonomous systems.
  • Familiarity with Google Cloud Platform.

    • The Candidate Journey: Multi-Step and Two-Way

    No-one wants to feel like a square peg in a round hole, so this process is designed to give you every chance to get the measure of us, and us of you. The various stages give you every opportunity to show your unique strengths and qualities, and enables each of us to establish if we're a good fit for the other. If the fit is good and you're selected, you're then in a position to do great work and thrive, which is what everyone wants.

    Benefits

    We provide:

  • Competitive salary, benchmarked against the market and reviewed annually
  • Hybrid working arrangements
  • Life Insurance
  • AD&D Insurance
  • Long Term Disability Insurance
  • Critical Illness Cover
  • Extended Health Care
  • Dental Cover
  • Health Spending Account
  • Personal Spending Account
  • Employee Assistance Program
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