Senior Machine Learning Engineer
- Transform ground breaking research into practical and efficient processing solutions for optimized performance
- Conduct codebase review, identifying areas for improvement and performing code refactoring to enhance cleanliness and maintainability.
- Evaluate data storage and management practices, identifying inefficiencies or inconsistencies, and implement optimal data storage practices.
- Build and enhance our machine learning pipeline and related tools to support development, experimentation, continuous integration, continuous delivery, verification/validation, and monitoring of ML models
- Investigate and debug issues in machine learning systems and provide timely resolutions
- Collaborate with cross-functional teams to design and implement scalable and efficient software solutions
- Ensure all work is deployed in an automated, repeatable fashion
- Reviewing and recommending best practices
- Participate in code reviews and contribute to continuous improvement of the development process
- 5+ years' experience working in a similar ML related position
- Proficient in Python, C++
- Experience with distributed systems and parallel computing
- Familiarity with embedded systems development
- Experience with workload orchestration tools (Databricks, Kubeflow, Airflow, etc.)
- Familiarity with unstructured data processing (video, audio, ffmpeg)
- Experience working with model registries and model version control
- Strong understanding of REST API design patterns
- Proficiency in working with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., TensorFlow, PyTorch)
- Knowledge of software development methodologies and version control systems (e.g., Git)
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment
- Strong problem-solving and debugging skills
- Understanding of software security principles and standard processes
- Experience with natural language processing (NLP) techniques
- Familiarity with video processing,
- Experience with NVIDIA CUDA, waveglow, ROCm
- Experience with Github/Gitlab, CDK, HelmCharts, ArgoCD
- Experience with Docker
- Knowledge of Linux
- Experience with AWS and common services
- Knowledge of game development, game engines (Unreal, Unity, etc)
- Shader development experience
- Hands-on experience with the orchestration and management of containers using Kubernetes
- Knowledge in systems monitoring, alerting and analytics including Prometheus, Grafana, AWS CloudTrail, OpenSearch
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