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TG

Sr. Machine Learning Engineer

TEC Group Inc.
🇺🇸 United States
Remote
Senior
2 months ago
  • AI
  • Machine Learning
  • CI/CD
  • MLOps
  • Computer Vision
  • LiDAR
  • Python
  • PyTorch
  • TensorFlow
  • C++
  • CNNs
  • Unix
  • Linux
  • MacOS
  • ONNX
  • AWS
  • GCP
  • MATLAB
  • Docker
  • Pension
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Sr. Machine Learning Engineer
140,000 to 180,000 per year 
Yearly Bonus 

Summary:
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.

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.
  • 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.

Requirements:
  • 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.

Preferred Qualifications:
  • 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.

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

Sr. Machine Learning Engineer · TEC Group Inc.

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