An employer is seeking a ML Engineer to join their team in Spring, TX. He or she will be joining the Commercial Architecture team focusing on ML engineering to help building out prototypes for potential future creation. The ML Engineer will design and develop TinyML models for various POC or prototype applications on edge devices, which could include hardware and software integrations. On a daily basis, he or she will be responsible for designing and developing TinyML models for various applications on edge devices; train and evaluate TinyML models on various datasets, ensuring accuracy and performance optimization; develop and implement data collection and pre-processing pipelines for TinyML models. To be effective in this role, the ML Engineer should be able to select and utilize appropriate TinyML frameworks and tools (e.g., TensorFlow Lite, Edge Impulse) for efficient model development and deployment. Lastly, the ability to document and present findings effectively, clearly communicating the potential and limitations of each prototype, is critical for this team. This role is hybrid on-site in Spring, TX three days a week.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
HR@insightglobal.com.
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5+ years of experience in a ML Engineering capacity, ideally on edge devices
5+ years of hands on Python experience
Hands on experience with ML frameworks and tools such as TensorFlow Lite and Edge Impulse
Experience with Edge AI systems
Prior experience with sensor data
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.