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Machine Learning Engineer

3 months ago

Vancouver Metro Vancouver Regional District, CA Understanding Recruitment Inc Full time

Robotics Machine Learning Engineer Opportunity:

We are looking for a Machine Learning Engineer to join our team of seasoned engineers, researchers, and scientists. As a Machine Learning Engineer, you will be responsible for crafting and deploying innovative algorithms, rigorously testing them in both simulated environments and real-world scenarios.

In Your New Role as a Machine Learning Engineer:

  • Collaborate and Innovate: As a Machine Learning Engineer, you will work with cross-functional teams to identify opportunities for applying machine learning techniques to complex problems.
  • Design and Develop: Design, develop, and deploy machine learning models and algorithms to address specific business needs and challenges.
  • Optimize Solutions: Implement scalable and efficient software solutions to integrate machine learning models into production systems.
  • Test and Validate: Conduct thorough testing and validation of machine learning models to ensure robustness and reliability.
  • Stay Current: Stay updated on the latest developments in machine learning and communicate promising research directions to the team.
  • Mentor and Guide: Provide technical guidance and mentorship to junior team members.

What We’re Looking for in a Machine Learning Engineer:

  • Educational Background: A Master’s degree or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
  • Experience: 3+ years of demonstrated experience with a variety of ML methods, focusing on areas such as dexterous manipulation, computer vision for robotics, or natural language processing.
  • Software Engineering: 4+ years of experience in software engineering, with a focus on developing and deploying production-grade applications.
  • Technical Skills: Working experience with ROS2, parallel computing technologies (e.g., CUDA, OpenMP), and machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Production Experience: Experience taking ML models to production and hands-on experience with cloud platforms (e.g., AWS, Azure) is a plus.
  • Publications: Publications in leading AI, ML, or robotics conferences are highly desirable.

Skills Required for the Machine Learning Engineer Role:

  • Programming Proficiency: Strong proficiency in Python or C++.
  • ML Techniques: Extensive knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, and natural language processing.
  • Frameworks: Working knowledge of PyTorch and/or TensorFlow.
  • Problem-Solving: Excellent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.
  • Communication: Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.

Traits of an Ideal Machine Learning Engineer:

  • Positive Attitude: A consistently positive attitude and a willingness to tackle complex problems with robust solutions.
  • Listening and Resolution: Optimistic listening and conflict resolution capabilities.
  • Influence: Demonstrated ability to influence others without authority.
  • Tenacity: Eagerness to take on new challenges with persistence and positivity.
  • Attention to Detail: Patience and attention to detail when resolving performance issues.
  • Passion: An obsession with bringing human-like intelligence to machines.

Benefits:

  • Medical/Dental/Vision Coverage
  • Life Insurance and Wellness Programs
  • Stock Options
  • Paid Time Off: 3 weeks of vacation annually, paid statutory holidays, sick leave, and parental leave.
  • Flexibility: Scheduling and worksite flexibility based on role.
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