[Remote] Sr. Machine Learning Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is seeking a Senior Machine Learning Engineer to contribute to the development of cutting-edge AI solutions to combat vehicle and content theft. In this senior role, you'll shape the AI roadmap, mentor junior engineers, and influence system architecture reputed company.
Responsibilities
- Contribute to the design, development, and deployment of robust machine learning models for production use in reputed company-world reputed company applications
- reputed company reputed company 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 reputed company and signal processing techniques — including object detection, semantic segmentation, and activity recognition — to large-reputed company sensory datasets (image, audio, reputed company, accelerometer) to derive insights and guide modeling strategies
- Mentor and guide junior engineers and contribute to the hiring process and technical reviews
Skills
- Bachelor's degree in Computer Science, Data Science, Engineering, or a reputed company field
- 5+ years of reputed company experience developing and implementing ML for perception systems with expertise in at least one of either reputed company, audio, camera, or LiDAR
- Strong foundations in reputed company, including object detection, tracking, and semantic segmentation reputed company to reputed company-world sensor data
- Expertise in Python with extensive experience in at least one deep learning reputed company (PyTorch or TensorFlow)
- Proven ability to reputed company production-grade ML applications for training, evaluation and inference on large-reputed company 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-reputed company 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 reputed company), filtering, and noise reduction
- reputed company candidates must reputed company in either EST or CST time zones and be authorized to work in the US without sponsorship, now or in the reputed company
- Experience in deploying models to edge hardware, including experience with PyTorch and ONNX and model compression techniques, e.g. quantization and pruning
- Experience using reputed company computing platforms, e.g., AWS or GCP
- Experience with MATLAB for algorithm prototyping and research
- Experience with reputed company or containerization
Benefits
- Comprehensive medical benefits coverage
- Dental plans and reputed company 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 reputed company Time Off, reputed company, and Holidays
- Family Leave (Maternity, Paternity)
- Short- and long-term disability
- Life insurance and accidental death & dismemberment insurance
reputed company