Principal Machine Learning Engineer
We are seeking a highly skilled and motivated Principal Machine Learning Engineer to join our growing team at Palo Alto Networks. As a global leader in cybersecurity, we are dedicated to protecting our customers from ever-evolving threats. In this role, you will have the opportunity to use your expertise in machine learning to develop and implement cutting-edge solutions that will have a significant impact on our products and services. We are looking for a talented individual who is passionate about staying at the forefront of technology and has a strong background in machine learning and data science. If you thrive in a fast-paced and dynamic environment and have a proven track record of delivering successful machine learning projects, we encourage you to apply.
- Lead the development and implementation of machine learning solutions to enhance the cybersecurity products and services of the company.
- Stay updated with the latest advancements in machine learning and data science and apply them to our products and services.
- Collaborate with cross-functional teams to identify and define machine learning requirements and develop solutions to address them.
- Conduct thorough research and analysis to identify potential areas for improvement and optimization.
- Design and develop machine learning models, algorithms, and data pipelines for various use cases.
- Participate in the full lifecycle of machine learning projects, from data collection and preprocessing to model training and deployment.
- Ensure the quality, accuracy, and scalability of machine learning models and solutions.
- Monitor and evaluate the performance of machine learning models and make necessary adjustments to improve their effectiveness.
- Communicate complex technical concepts and solutions to non-technical stakeholders.
- Provide technical guidance and mentoring to junior team members.
- Stay updated with industry standards and best practices for machine learning and data science.
- Collaborate with external partners and vendors to leverage their expertise and technologies.
- Continuously assess and improve the machine learning processes and workflows.
- Document all processes, methodologies, and findings for future reference and knowledge sharing.
- Work in a fast-paced and dynamic environment, managing multiple projects and priorities simultaneously.
Extensive Experience In Machine Learning Techniques And Algorithms: The Ideal Candidate Should Possess A Strong Understanding Of Various Machine Learning Algorithms And Techniques Such As Deep Learning, Natural Language Processing, And Reinforcement Learning.
Proficiency In Programming Languages And Tools: The Candidate Should Have A Solid Foundation In Programming Languages Such As Python, R, And Java, As Well As Experience Working With Popular Machine Learning Libraries And Frameworks Such As Tensorflow, Keras, And Pytorch.
Strong Background In Data Analysis And Modeling: A Principal Machine Learning Engineer Should Have A Deep Understanding Of Data Analysis And Modeling Techniques, Including Data Preprocessing, Feature Engineering, And Model Evaluation.
Experience With Large-Scale Data Systems: The Role May Involve Working With Large And Complex Datasets, Therefore, The Candidate Should Have Experience With Distributed Computing Frameworks Such As Hadoop And Spark, As Well As Experience With Sql And Nosql Databases.
Leadership And Collaboration Skills: As A Principal Machine Learning Engineer, The Candidate Will Be Leading A Team Of Data Scientists And Engineers, Therefore, Strong Leadership And Communication Skills Are Essential. The Candidate Should Also Have Experience Collaborating With Cross-Functional Teams, Including Product Managers And Business Stakeholders.
Data Analysis
statistical analysis
Deep Learning
Computer Vision
Cloud Computing
Natural language processing
Algorithm development
Big data processing
Predictive modeling
feature engineering
Neural Networks
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Principal Machine Learning Engineer in Santa Clara, CA, USA is $150,000 - $200,000 per year. This may vary depending on factors such as experience, qualifications, and the specific company and industry the engineer is working in.
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Palo Alto Networks, Inc. an American multinational cybersecurity company with headquarters in Santa Clara, California. Its core products are a platform that includes advanced firewalls and cloud-based offerings that extend those firewalls to cover other aspects of security.
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