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Robotics Machine Learning Specialist
3 months ago
Exciting Opportunity for a Robotics Machine Learning Specialist:
We are seeking a Robotics Machine Learning Specialist to contribute to our innovative team of 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 environments.
Key Responsibilities:
- Collaborative Innovation: Work alongside cross-disciplinary teams to explore and apply machine learning techniques to intricate challenges.
- Model Design and Development: Create, develop, and implement machine learning models and algorithms tailored to meet specific business objectives.
- Solution Optimization: Build scalable and efficient software solutions that seamlessly integrate machine learning models into operational systems.
- Testing and Validation: Execute comprehensive testing and validation of machine learning models to guarantee their robustness and dependability.
- Continuous Learning: Keep abreast of the latest advancements in machine learning and share promising research insights with the team.
- Mentorship: Offer technical guidance 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: A minimum of 3 years of proven experience with various machine learning methodologies, particularly in areas such as dexterous manipulation, computer vision for robotics, or natural language processing.
- Software Engineering Expertise: At least 4 years of experience in software engineering, focusing on the development and deployment of production-grade applications.
- Technical Proficiencies: Practical experience with ROS2, parallel computing technologies (e.g., CUDA, OpenMP), and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Production Knowledge: Experience in deploying machine learning models in production environments and familiarity with cloud platforms (e.g., AWS, Azure) is advantageous.
- Research Contributions: Publications in prominent AI, ML, or robotics conferences are highly valued.
Essential Skills:
- Programming Skills: Strong proficiency in Python or C++.
- Machine Learning Techniques: In-depth understanding of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, and natural language processing.
- Framework Knowledge: Familiarity with PyTorch and/or TensorFlow.
- Problem-Solving Abilities: Excellent problem-solving skills and the capacity to thrive in a dynamic, collaborative environment.
- Communication Skills: Strong communication abilities to articulate complex technical concepts to non-technical stakeholders.
Ideal Candidate Traits:
- Positive Mindset: A consistently optimistic attitude 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: Proven ability to influence others without direct authority.
- Persistent: Willingness to embrace new challenges with determination and positivity.
- Detail-Oriented: Careful attention to detail when addressing performance issues.
- Passionate: A deep commitment to advancing human-like intelligence in machines.
Employee Benefits:
- Comprehensive Medical/Dental/Vision Coverage
- Life Insurance and Wellness Programs
- Stock Options
- Generous Paid Time Off: 3 weeks of vacation annually, paid statutory holidays, sick leave, and parental leave.
- Flexible Work Arrangements: Flexibility in scheduling and worksite based on role.
