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At ASI, we are revolutionizing industries with state-of-the-art autonomous robotics solutions. Within the fields of agriculture, construction, landscaping, and logistics, we deliver technologies that enhance safety, productivity, and efficiency. With our core values of Simplicity, Safety, Transparency, Humility, Attention to Detail and Growth guiding everything we do, we're shaping the future of automation in dynamic markets. As an AI Applications Engineer IV, you will play a key role in developing and integrating AI capabilities directly into our software products and autonomous platforms. You will take machine learning models from concept to production, embed them into real world applications, and collaborate across teams to ensure our AI features are robust, fast, and aligned with product needs.
Job Responsibility:
Develop AI and machine learning models that enable systems to learn from data, make predictions, and support autonomous decision making
Design and implement algorithms capable of processing, analyzing, and interpreting large datasets efficiently
Embed AI models directly into software products including perception systems, planning modules, and core platform services
Convert AI and ML models into scalable services, APIs, or libraries for production use
Tune AI driven systems for latency, performance, and product level requirements to support real time or safety critical applications
Work closely with data scientists, software engineers, domain experts, and business stakeholders to define project requirements and deliver solutions that align with organizational goals
Conduct thorough testing, validation, and evaluation of AI models to ensure accuracy, reliability, and stability across deployments
Monitor the performance of AI systems in production and implement updates, improvements, or optimizations as needed
Requirements:
Bachelor's degree in Computer Science, Software Engineering, Mathematics, or a related technical field
10+ years of experience creating, training, and deploying AI or machine learning models
Proficiency in programming languages such as Python, R, or Java
Strong foundation in mathematics and statistics including linear algebra, calculus, probability, and statistical modeling
Hands on experience with machine learning frameworks and libraries such as TensorFlow or PyTorch
Experience converting models into production ready components such as microservices, APIs, or embedded libraries
Ability to collaborate effectively across interdisciplinary teams and communicate complex concepts clearly
Understanding of performance tuning, optimization techniques, and real time or near real time system considerations
What we offer:
Full Benefits - 90% Medical, ESOP, 401K, Generous PTO