SR. MACHINE LEARNING ENGINEER
**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 and predictive maintenance systems, and various sensor devices optimized for low latency and power consumption. Collaborating with leading global companies, we empower teams to effortlessly deploy machine learning solutions for industrial applications with minimal manual effort.
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 Sr. 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
- Providing technical guidance and mentorship to junior Machine Learning Engineers and cross-functional team members.
Ideal Candidate
- Expertise in one or more specific areas of research: automated machine learning, anomaly detection, condition monitoring, predictive maintenance, neural nets, deep learning, signal processing, and digital imaging
- Computer Science/EE/ECE background (MS or PhD preferred) with strong coding ability and proficiency with Python or other OOP language.
- Proven success in delivering ML/AI solutions (e.g., research publications, open-source contributions, production deployments).
- Ability to design and run experiments independently, analyze results, and present findings to leadership and external stakeholders.
Skills & Requirements
- Machine Learning (expert
- at least 5 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
- Significant work experience deploying production machine learning models for production or commercially shipping products
- Experience building machine learning pipelines
- Experience with Docker and AWS
- Experience with large-scale data processing tools like Apache Spark
