Staff Software Engineer

Acts as a project or system leader, coordinating the activities of other engineers on the project or within the system Determines the technical tasks that other engineers will follow Actions result in the achievement of customer, operational, program or service objectives Proactively improves existing structures & processes Exercises judgement in reconciling diverse and competing priorities (time, quality, complexity risk) to identify optimal solutions to problems Notices patterns and condenses repetition into densely meaningful generalized solutions Collaborates with management to set/improve standards for engineering rigor 5+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience. Strong proficiency in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models. Expertise in programming languages such as Python, Go, Java, and proficiency in machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc. Stay up-to-date with the latest advancements in AI/ML technology and industry trends, and leverage this knowledge to enhance the platform's capabilities. Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Strong communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner Demonstrated leadership abilities, including the ability to inspire, mentor, and empower team members to achieve their full potential. Experience with Jupyter Notebook, Kubeflow, Airflow, Argo, GPU and HPC Experience building ML infrastructure or MLOps platforms and Bigdata platforms technologies such as Hadoop, BigQuery, Spark, Hive and HDFS