Machine Learning Engineer
20 hours ago
We are seeking a highly skilled Machine Learning Engineer to join our team of seasoned engineers, researchers, and scientists. As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying innovative algorithms and models to address complex business challenges.
Key Responsibilities:- Collaboration and Innovation: Work with cross-functional teams to identify opportunities for applying machine learning techniques to complex problems.
- Design and Development: Design, develop, and deploy machine learning models and algorithms to address specific business needs and challenges.
- Optimization and Testing: Implement scalable and efficient software solutions to integrate machine learning models into production systems, and conduct thorough testing and validation to ensure robustness and reliability.
- Staying Current: Stay updated on the latest developments in machine learning and communicate promising research directions to the team.
- Mentorship and Guidance: Provide technical guidance and mentorship to junior team members.
- 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.
- 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.
- 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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