Machine Learning Engineer

TDK SensEI; Pittsburgh (Allegheny County); On-site; USD 105,000 - 157,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A leading AI solutions provider in Pittsburgh, PA, is seeking a Machine Learning Engineer to develop innovative algorithms and solutions for sensor data. The ideal candidate will have a strong background in machine learning, proficiency in Python, and experience with various AI applications. This role offers competitive compensation and the opportunity to shape the future of machine learning in industrial settings.

Qualifications

• Machine Learning expert with 2-3 years of industry experience.
• Proficient in Python or other modern OOP languages.
• Experience with model quantization/compression techniques.

Responsibilities

• Research and implement new machine learning techniques.
• Create machine learning solutions from problem formulation to commercial-grade.
• Design and maintain software for machine learning pipeline.

Skills

Machine Learning

Python

Data Structures and Algorithms

Deep Learning

Ensemble Modeling/Classification

Signal Processing

Education

Master’s degree in relevant field

Tools

Docker

AWS

Apache Spark

Job description

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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

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

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Industries

  Software Development

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Medical insurance

Vision insurance

401(k)

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