Staff Machine Learning Engineer

TE Connectivity • United States, United States • 12h ago

Posting Start Date: 3/31/26

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

Job Description:

Job Overview

The pace of innovation in artificial intelligence and machine learning continues to accelerate, and the Data and Devices Business Unit is at the center of this transformation. Our customers are building intelligent systems that redefine how data is processed, analyzed, and used across compute, networking, and cloud infrastructure. At TE Connectivity, we support this evolution by delivering scalable, high-quality software solutions that enable next-generation products.

This role is a strong fit for someone with a solid software and analytical foundation who is eager to apply machine learning techniques to real engineering problems. You will work closely with experienced engineers, data scientists, and cross functional teams to develop models, improve workflows, and support the integration of ML capabilities into our tools and processes.

What you will be doing...

As a Machine Learning Engineer, you will support the development, testing, and deployment of ML models and data driven software solutions. You will contribute to data preparation, model development, performance analysis, and software implementation while building a strong understanding of engineering applications in a production environment.

Key Responsibilities

Machine Learning Development

Support the design, development, and testing of machine learning models for engineering and business applications.

Assist with data preparation, feature engineering, model training, and validation.

Evaluate model performance and help identify opportunities for improvement.

Contribute to the implementation of ML pipelines and workflows for repeatable model development.

Software Engineering and Tools

Develop clean, maintainable, and well documented code in support of ML applications and data workflows.

Assist with integrating ML models into internal tools, platforms, or engineering systems.

Support debugging, testing, and optimization of software and model performance.

Participate in code reviews and follow software development best practices.

Data Analysis and Problem Solving

Analyze structured and unstructured data to identify patterns, trends, and improvement opportunities.

Work with cross functional teams to understand business and engineering problems and translate them into data driven solutions.

Prepare summaries, dashboards, or technical reports to communicate findings and recommendations.

Collaboration and Learning

Collaborate with software engineers, product teams, and domain experts on project execution.

Learn from senior team members and apply feedback to improve technical and professional skills.

Stay current with foundational machine learning methods, tools, and industry trends.

What your background should look like

Bachelor's with 8+ years, Master's with 6+ years, or PhD with 3+ years of experience in Computer Science, Data Science, Software Engineering, Electrical Engineering, or a related technical discipline.

Strong programming skills in Python

Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit learn

Experience working with data analysis libraries such as pandas or NumPy

Familiarity with data pipelines, model evaluation, and machine learning experimentation

Knowledge of software development practices, including version control and testing

Strong analytical thinking and problem-solving skills

Ability to collaborate effectively in cross-functional engineering teams

Clear communicator who works well in a collaborative team environment.

Self-motivated and eager to learn new technologies with guidance.

Ability to travel occasionally, up to 10 percent, for team meetings or training as needed.

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

COMPENSATION

Competitive base salary commensurate with experience: $154,100 - $231,100 (subject to change dependent on physical location)

Posted salary ranges are made in good faith. TE Connectivity reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as internal and external equity.

Total Compensation = Base Salary + Incentive(s) + Benefits

Job Locations:

Posting City: #

Job Country: United States

Travel Required: Less than 10%

Requisition ID: 150094

Workplace Type: Remote

External Careers Page: Engineering & Technology

TE Connectivity and its subsidiaries, affiliates, and operating units (collectively, the "Company") is committed to providing a work environment that prohibits discrimination on the basis of age, color, disability, ethnicity, marital status, national origin, race, religion, gender, gender identity, sexual orientation, protected veteran status, disability or any other characteristics protected by applicable law or regulation.

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