Senior Solutions Engineer (Pre-sales)

July 24

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Edge Impulse

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The leading development platform for machine learning on edge devices, free for developers and trusted by enterprises.

Machine Learning • Artificial Intelligence • Embedded Computing • MLOps • DevOps

51 - 200

Description

• Guide and collaborate with prospective customers as a trusted technical advisor to design and optimize their data management, machine learning workflow, and model deployment with Edge Impulse. • Contribute to sales & marketing activities by participating in events, visiting prospects, and performing presentations, and demonstrations. • Work with engineering and account management teams to envision machine learning solutions and solve technical challenges for intelligent devices in industries such as industrial productivity, digital health, and more. • Develop transformation, processing, training, and deployment code to create machine learning models from large datasets and deploy to resource-constrained devices.

Requirements

• Track record of multi-disciplinary problem solving and working across domains, teams, and companies to develop complex technical solutions. • Experience developing embedded or cloud software (python, C/C++, or equivalent) with exposure to Linux or RTOSs. • Experience with data analysis & machine learning, including Python ML & data libraries (e.g. TensorFlow, Keras, PyTorch, NumPy, Pandas, or equivalent). • Experience developing, launching, or maintaining technical products in relevant commercial industries (e.g. industrial, medical, automotive, IoT, or related markets). • Track record of teaming, leading, and consulting to drive ambitious technical projects to success in lean distributed remote organizations. • Fostering a growth mindset with a demonstrated history of learning, adapting, improving, and growing individually, as a team, and with your customers.

Benefits

• Competitive pay, stock options, benefits, and PTO. • A dynamic culture that sees work as one element in life (work-life balance). • A team that’s engaged and inclusive yet global and diverse. • A well-funded company with founders who care about team, users, and values.