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MACHINE LEARNING ENGINEER
Qeexo
Software Engineering
Pittsburgh, PA, USA
Posted on May 31, 2025
MACHINE LEARNING ENGINEER JOB DESCRIPTION
**This position is for our Pittsburgh, PA office - only apply if you are based there or willing to relocate**
At TDK SensEI, we are transforming how industrial customers utilize and interact with sensor data. We specialize in developing advanced AI solutions capable of running directly on edge devices. By processing data locally, TDK SensEI enhances real-time decision-making, privacy, security, and cost efficiency. Our offerings include automated machine learning tools, AI-powered condition-based monitoring systems, and various sensor devices optimized for low latency and power consumption. Collaborating with leading global companies, we empower teams to effortlessly devise and implement machine learning solutions for industrial applications, all without the need for coding.
We are looking for a machine learning expert who loves working with sensor data, loves developing novel algorithms, is not afraid of challenging, open-ended problems, and wants to help us shape the future of machine learning in industrial settings. You will be working with a highly capable team of machine learning engineers and will have the opportunity to make a meaningful impact on the growth of a burgeoning industry.
As a Machine Learning Engineer, your responsibilities will include:
· Researching and implementing new machine learning techniques for use in TDK SensEI products
· Creating machine learning solutions for new applications from start to finish: from formulation of the problem to a commercial-grade solution
· Designing, writing, and maintaining software supporting TDK SensEI’s machine learning pipeline and research codebase
· Designing and executing experiments to advance our understanding of machine learning with time-series sensor data and related techniques
Ideal Candidate
· Deep knowledge of statistical and machine learning approaches and problem domains
· Machine Learning/Computer Science/Electrical Engineering background with strong coding ability and proficiency with Python or other OOP language
· Proven success with multiple ML/AI/classification projects (research papers, open-source implementations, etc.)
· Expertise in one or more specific areas of research: automated machine learning, anomaly detection, condition monitoring, predictive maintenance, neural nets, deep learning, signal processing, digital imaging, ensemble learning, and system identification
· Research-minded, ability to run experiments independently and present results to leadership and external clients
· Experience working with Gen AI applications
· Experience with model quantization/compression techniques
· Comfortable working in a terminal environment, writing scripts (Bash/Python) to process data and implement algorithms
· Experience with embedded programming
· Experience in sensor platforms with microcontroller units
Skills & Requirements:
· Machine Learning (expert; at least 2-3 years industry experience and/or Master’s degree in relevant field)
· Python or other modern OOP language (proficient)
· Data Structures and Algorithms (proficient)
· Deep Learning (proficient)
· Ensemble Modeling/Classification (proficient)
· Data Structures and Algorithms (familiar)
· Signal Processing (familiar)
· Some travel may be required
· US Work Authorization required
Bonus Qualifications
· Experience building machine learning pipelines
· Experience with Docker and AWS
· Experience with large-scale data processing tools like Apache Spark
· Significant work experience deploying production machine learning models with industrial customers