Robotics AI Engineer

4 weeks ago

Vancouver, British Columbia, Canada Understanding Recruitment Inc Full time

Exciting Opportunity for a Robotics Machine Learning Engineer:

We are seeking a talented Machine Learning Engineer to contribute to our dynamic team of experienced engineers, researchers, and scientists. In this role, you will be tasked with developing and implementing cutting-edge algorithms, rigorously evaluating them in both simulated and real-world settings.

Key Responsibilities:

  • Collaborative Innovation: Work alongside cross-disciplinary teams to pinpoint opportunities for leveraging machine learning techniques to tackle intricate challenges.
  • Model Design and Development: Create, refine, and deploy machine learning models and algorithms tailored to meet specific business objectives.
  • Solution Optimization: Develop scalable and efficient software solutions to seamlessly integrate machine learning models into operational systems.
  • Testing and Validation: Execute comprehensive testing and validation of machine learning models to ensure their robustness and dependability.
  • Continuous Learning: Keep abreast of the latest advancements in machine learning and share promising research insights with the team.
  • Mentorship: Provide technical support and mentorship to junior engineers.

Qualifications:

  • Educational Credentials: A Master's degree or Ph.D. in Computer Science, Engineering, Mathematics, or a related discipline.
  • Professional Experience: Over 3 years of proven experience with diverse ML methodologies, particularly in areas such as dexterous manipulation, computer vision for robotics, or natural language processing.
  • Software Development: More than 4 years of experience in software engineering, focusing on the development and deployment of production-quality applications.
  • Technical Expertise: Proficient in ROS2, parallel computing technologies (e.g., CUDA, OpenMP), and machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Production Experience: Experience in deploying ML models in production environments and familiarity with cloud platforms (e.g., AWS, Azure) is advantageous.
  • Research Contributions: Publications in reputable AI, ML, or robotics conferences are highly valued.

Essential Skills:

  • Programming Skills: Strong command of Python or C++.
  • Machine Learning Knowledge: Extensive understanding of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, and natural language processing.
  • Framework Proficiency: Familiarity with PyTorch and/or TensorFlow.
  • Analytical Skills: Exceptional problem-solving abilities and the capacity to thrive in a fast-paced, collaborative environment.
  • Communication Skills: Strong ability to articulate complex technical concepts to non-technical audiences.

Ideal Candidate Traits:

  • Positive Mindset: A consistently optimistic outlook and a readiness to tackle complex challenges with effective solutions.
  • Listening and Conflict Resolution: Strong listening skills and the ability to resolve conflicts effectively.
  • Influential Leadership: Proven ability to influence peers without formal authority.
  • Determination: A strong desire to embrace new challenges with persistence and positivity.
  • Attention to Detail: Careful and meticulous approach to resolving performance issues.
  • Passion for Innovation: A deep enthusiasm for advancing human-like intelligence in machines.

Employee Benefits:

  • Comprehensive Medical/Dental/Vision Coverage
  • Life Insurance and Wellness Initiatives
  • Stock Options
  • Generous Paid Time Off: 3 weeks of vacation annually, paid statutory holidays, sick leave, and parental leave.
  • Flexible Work Arrangements: Flexible scheduling and worksite options based on role.

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