TEC Group, Inc. · 6 hours ago
Senior Machine Learning Engineer
Dearborn, MI
Full-time
Hybrid
Senior Level
5+ years expTEC Group, Inc. is seeking a Senior Machine Learning Engineer within their AI Squad to contribute to the development of advanced AI solutions aimed at preventing vehicle and content theft. In this role, the engineer will shape the AI roadmap, mentor junior engineers, and influence system architecture decisions while engaging with cross-functional teams to ensure effective model integration.
Staffing & Recruiting
No H1B
Responsibilities
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
Perform advanced exploratory data analysis on large-scale sensory datasets (image, audio, radar, accelerometer) to derive insights and guide modeling strategies
Stay ahead of industry advancements in machine learning, AI sensing, and signal processing, incorporating the latest innovations into Canopy's technology stack
Mentor and guide junior engineers and contribute to the hiring process and technical reviews
Qualification
Required
5+ years of professional experience developing and implementing ML for perception systems with expertise in at least one of either RADAR, camera, or LiDAR
Bachelor's degree in Computer Science, Data Science, Engineering, or a related field
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
Must be authorized to work in the US without sponsorship, now or in the future
Preferred
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
Reside within the Detroit area or nearby, with the ability to work in a hybrid environment and regularly commute to our Detroit office as needed
Benefits
Comprehensive medical benefits coverage, dental plans and vision coverage.
Health care and dependent care spending accounts.
Employee and Family Assistance Program (EAP).
Employee discount programs.
Retirement plan with a generous company match.
Generous Paid Time Off, Sick, and Holidays
Family Leave (Maternity, Paternity)
Short- and long-term disability
Life insurance and accidental death & dismemberment insurance
Company
TEC Group, Inc.
TEC Group recruits and employs quality talent for companies from diverse industries across the U.S.
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
Cheryl Hughes
Chief Financial Officer
Company data provided by crunchbase