- Lead R&D initiatives aimed at addressing challenges related to image segmentation, object detection and pose estimation and its application in manufacturing, leveraging neural networks and Python for advanced solutions.
- Build foundational computer vision and machine learning models that can transform the manufacturing industry.
- Design and execute experiments to evaluate the efficacy of machine learning systems, encompassing processes, parameters, algorithms, and equipment, with a focus on deep neural network models.
- Stay at the forefront of machine learning research, tools, and techniques, including the application of neural networks in welding science, contributing to advancing Path's mission.
- Chart the technical course for ML/AI-based projects from inception to deployment, incorporating your expertise in Python for seamless integration.
- Foster cross-functional collaboration within the Engineering organization, ensuring the integration and application of ML/AI methodologies, with a specific emphasis on neural networks.
- Contribute to the development of software tools, applications, and algorithms that facilitate welding data acquisition, analysis, and automation, employing Python for efficient and scalable solutions.
- Amplify your impact by mentoring colleagues and junior engineers, sharing your knowledge in neural networks and Python programming.
- Provide valuable technical guidance, mentorship, and thought leadership, particularly in the context of neural networks and Python applications.
- PhD or MS in machine learning, artificial intelligence, or equivalent practical experience/education, with a strong foundation in neural networks.
- Over 5 years of research experience dedicated to pioneering novel machine learning algorithms, including more than 3 years of industry exposure to designing, developing, and deploying real-world deep neural network models using Python.
- Enthusiastic about joining an early-stage venture-backed company, recognizing the immediate and direct influence your work will have.
- Demonstrated ownership, dedication, and enthusiasm for overcoming challenges.
- Deep passion for your work and a collaborative work style.
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Staff Machine Learning Engineer - Columbus, United States - Path Robotics, Inc
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Description
Build the Path Forward
At Path we work on state-of-the-art artificial intelligence, machine learning, computer vision, and sensors to make industrial robots intelligent. Our transformative technology, like our robotic welding system, enables hardware to do more with less human input.
We're on the lookout for an outstanding individual to play a crucial role in the intersection of welding science and artificial intelligence. As a Staff Machine Learning Engineer, you'll apply your expertise in computer vision, machine learning, generative AI, multi-modal models and Python programming. This combination will be pivotal in driving innovation to tackle intricate challenges in our field. Collaborating closely with our exceptional data science, weld science, and software engineering teams, you'll be at the forefront of developing groundbreaking AI-driven robotic welding methods.
What Youll Do
Who You Are
Who We Are
At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.