1767 IT & Software Developer jobs in the US
Principal Machine Learning Engineer (Prisma)
$157,200 - 254,100
PaloAlto Networks
Lincoln Street, Santa Clara
$157,200 - 254,100
Requirements
Must:
- Bachelors degree, Masters degree, or Ph.D. in Computer Science or a related technical field, or equivalent practical experience.
- Significant professional experience in software engineering, focusing on MLOps, ML systems, or scaling machine learning models.
- Proficiency in Python programming; experience with languages such as Go, Java, or C++ is a plus.
- Extensive hands-on experience in designing and developing large-scale distributed systems on major cloud platforms (e.g., Google Cloud Platform, AWS, Azure, or OCI).
- Proven experience in leading the architecture of complex ML systems and MLOps pipelines utilizing technologies like Kubernetes and Docker.
- Mastery of ML frameworks (e.g., TensorFlow, PyTorch) along with extensive experience using advanced inference optimization tools (e.g., ONNX, TensorRT).
- Strong understanding of prevalent model architectures (e.g., Transformers, CNNs, GNNs), with deeper knowledge of attention mechanisms being an advantage.
- Proven expertise with modern LLM inference engines (e.g., vLLM, SGLang, TensorRT-LLM); open-source contributions are a significant advantage.
- Experience in low-level performance optimization, including custom CUDA kernel development or using Triton Language, is advantageous.
- Familiarity with data infrastructure technologies (e.g., Kafka, Spark, Flink) is beneficial.
- Knowledge of CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI, Tekton) is a plus.
Responsibilities
- Lead the architectural design of a robust, scalable, and low-latency ML inference platform for diverse real-time security applications.
- Develop technical strategies for ambiguous product requirements, ensuring optimal alignment between product features and technical implementation.
- Drive technical leadership and mentorship within the team, promoting best practices in MLOps, software engineering, and system design.
- Strategically enhance model and system performance, guiding advanced optimization techniques such as custom kernels, hardware acceleration, and innovative serving frameworks.
- Establish and uphold engineering standards for automated model deployment, effective monitoring, and operational excellence across production ML systems.
- Act as a pivotal technical liaison with other principal engineers, architects, and product leaders to shape Prisma AIRS platforms future and assure system coherence.
- Address complex technical challenges in large-scale inference, including mitigating novel security threats and reaching extraordinary performance metrics.
Description
At Palo Alto Networks, we are dedicated to safeguarding our digital existence. Our culture is driven by bold innovation and collaborative problem-solving in a workplace where every voice matters. Joining us means being part of a team that values disruption, collaboration, execution, integrity, and inclusion. We believe in fostering teamwork in-person, offering flexibility as needed to maintain strong relationships and enhance problem-solving. As part of our commitment to creating cutting-edge AI security solutions, we invite passionate individuals to participate in our mission while enjoying competitive compensation and a supportive work environment.
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You can find Machine Learning Engineer salaries in the United States here.
How many Machine Learning Engineer jobs are in the United States?
Currently, there are 1767 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
Is the US a good place for Machine Learning Engineers?
The US is one of the best countries to work as a Machine Learning Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Machine Learning Engineer jobs in the United States?
KUBRA, D3 Security Management Systems, Snaplii, Darwin CX Technologies, Maerix Inc, ScanForce, CoVar among others, are currently hiring for ML, AI roles in the United States.
The company with most openings is Jobot as they are hiring for 128 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Jobot as they are hiring for 128 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.