> Markdown version of [/jobs/ext/1486814-sr-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/1486814-sr-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Machine Learning Engineer - **Company:** TEC Group Inc. - **Location:** Dearborn, MI, United States - **Experience:** Expert - **Salary:** $140,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Apple Mac Systems, Artificial Neural Networks, Computer Vision, Big Data, Unix, C++ (Programming Language), Noise Reduction, Linux, White-Box Testing, Python (Programming Language), MATLAB, Machine Learning, Object Detection, Tensorflow, Sensor Fusion, Signal Processing, Systems Architecture, Cloud Platform System, Pytorch, Deep Learning, Containerization, Information Technology, ONNX (Open Neural Network Exchange) Format, Build Tools, Machine Learning Operations, Lidar, Data Pipelines, Docker - **Published:** July 29, 2026 - **Apply:** https://www1.jobdiva.com/candidates/myjobs/openjob_outside.jsp?a=irjdnwmlrygr7cx8brkcvxbrs15aag050a87lyngc5fo6gdf5p0ddb345zd3begb&from=COMP&id=32758386&SearchString=&StatesString= ## About the Role * Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. * 5+ years of professional experience developing and implementing ML for perception systems with expertise in at least one of either radar, audio, camera, or LiDAR. * Strong foundations in computer vision, including object detection, tracking, and semantic segmentation applied to real-world sensor data. * Expertise in Python with extensive experience in at least one deep learning framework (PyTorch or TensorFlow). * Proven ability to develop production-grade ML applications for training, evaluation and inference on large-scale datasets. * Experience creating C/C++ applications utilizing modern language features and build systems, preferably for porting ML inference applications from Python to edge devices/embedded systems. * White-box understanding of classical ML algorithms (SVMs, HMMs, Decision Trees) and modern neural network models and architectures (CNNs, transformers) with significant experience applying them for perception systems. * Experience implementing and applying dynamic object tracking, with experience using sensor fusion as a preference. * Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and services, virtual computers and clusters. * Proficiency in signal processing techniques such as time/frequency-domain processing (e.g. Fourier Transform), filtering, and noise reduction. * All candidates must reside in either EST or CST time zones and be authorized to work in the US without sponsorship, now or in the future., * Experience in deploying models to edge hardware, including experience with PyTorch and ONNX and model compression techniques, e.g. quantization and pruning. * Experience using cloud computing platforms, e.g., AWS or GCP. * Experience with MATLAB for algorithm prototyping and research. * Experience with Docker or containerization. ## Description As a Senior Machine Learning Engineer within the AI Squad and reporting to the Director of AI Engineering, you'll contribute to the development of cutting-edge AI solutions to combat vehicle and content theft. In this senior role, you'll play a pivotal part in shaping our AI roadmap, mentoring junior engineers, and influencing system architecture decisions. This is a high-impact role with visibility across engineering and product leadership., * Contribute to the design, development, and deployment of robust machine learning models for production use in real-world security applications. * Develop within the full machine learning lifecycle; from problem definition to data pipeline design, model development, validation, deployment, and monitoring. * Establish and refine best practices in our ML system architecture, CI/CD pipelines for ML, and reproducible research methodologies. * Collaborate with cross-functional stakeholders including product managers, data engineers, and MLOps teams to ensure seamless model integration and delivery. * Apply computer vision and signal processing techniques - including object detection, semantic segmentation, and activity recognition - to large-scale sensory datasets (image, audio, radar, accelerometer) to derive insights and guide modeling strategies * Mentor and guide junior engineers and contribute to the hiring process and technical reviews. ## Related Videos - [How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution](https://www.wearedevelopers.com/videos/22-how-to-develop-an-autonomous-car-end-to-end-robotic-drive-and-the-mobility-revolution) - [Intelligent Data Selection for Continual Learning of AI Functions](https://www.wearedevelopers.com/videos/367-intelligent-data-selection-for-continual-learning-of-ai-functions) - [WeAreDevelopers LIVE - Node and Package Security](https://www.wearedevelopers.com/videos/2138-wearedevelopers-live-node-and-package-security) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)