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Machine Learning Engineer

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Exigent AiOglesby, TXApril 12th, 2026

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Job is not closed. Resumes can be sent to Sam@exig.ai. Please state if you are authorized to work in the US and if you need visa sponsorship in the email.*Must be based on US soil, preference to Texas applicants.*Must NOT need visa sponsorship at any time.*MUST include a cover letter in your resume attachment to be considered.Exigent AI, we're driving innovation in the semiconductor industry with advanced AI solutions. We’re looking for a Machine Learning Engineer to help build and deploy state-of-the-art machine learning models. This role offers a unique opportunity to work at the forefront of technology, applying AI to complex and precision-driven manufacturing challenges, and contributing to the success of a rapidly growing company.What you’ll do: Contribute to the design, development, and deployment of cutting-edge machine learning models using tools like PyTorch, aimed at solving real-world challenges in the semiconductor industry.Collaborate with a highly skilled technical team to develop scalable and efficient AI solutions that push the boundaries of innovation.Take responsibility for key technical decisions, helping guide the development of production-ready AI systems to optimize complex manufacturing processes.Grow alongside the company, gaining new skills and taking on increasing responsibilities as we scale.What you’ll bring: Experience in machine learning and data science, with hands-on proficiency in frameworks such as PyTorch.A passion for tackling complex technical challenges in a fast-paced startup environment, with a growth mindset and the ability to manage projects from start to finish.Strong coding skills, with an eagerness to take ownership of your work and contribute to a dynamic, high-tech field.A desire to grow with the company, build teams, and take on high level leadership.Experience with physics or engineering simulation a plus.Education & Experience: No formal degree requirements.Relevant experience, even if gained through self-directed learning, personal projects, etc.What we offer: Competitive pay, comprehensive benefits, and stock options.Remote work with flexibility and autonomy.The opportunity to grow with the company and have a direct impact on its success.