3470 IT & Software Developer jobs in the US

Senior Staff Machine Learning Engineer (Prisma)
$141,000 - 228,075
PaloAlto Networks
Tannery Way, Santa Clara
$141,000 - 228,075
Requirements
Must:
- Bachelors, Masters, or Ph.D. in Computer Science, a relevant technical discipline, or equivalent hands-on experience
- Professional background in software engineering with a strong emphasis on MLOps, ML systems, or scaling machine learning models
- Advanced proficiency in Python; familiarity with a systems programming language such as Go, Java, or C++ is advantageous
- Extensive, practical experience in designing and constructing large-scale distributed systems on cloud platforms (e.g., Google Cloud Platform, AWS, Azure, or OCI)
- Proven ability to lead architectural initiatives for complex ML systems and MLOps pipelines utilizing technologies like Kubernetes and Docker
- Proficiency with ML frameworks (such as TensorFlow and PyTorch) and substantial experience with advanced inference optimization tools (e.g., ONNX, TensorRT)
- Strong grasp of popular model architectures (e.g., Transformers, CNNs, GNNs) is a significant plus
- Demonstrated expertise with up-to-date LLM inference engines (such as vLLM, SGLang, TensorRT-LLM); contributions to open-source projects in these fields are a notable advantage
- Experience with low-level performance tweaks, such as custom CUDA kernel development or employing Triton Language, is a plus
- Familiarity with data infrastructure solutions (e.g., Kafka, Spark, Flink) is desirable
- Understanding of CI/CD frameworks and automation tools (e.g., Jenkins, GitLab CI, Tekton) is an advantage
Responsibilities
- Spearhead the architectural design of a scalable, low-latency, and robust ML inference platform that supports a variety of models for real-time security applications
- Offer technical guidance and mentorship to the team, championing best practices in MLOps, software engineering, and system design
- Formulate strategies for optimizing model and system performance, leading research and the application of advanced optimization techniques such as custom kernels and hardware acceleration
- Set and uphold engineering standards for automated model deployment, thorough monitoring, and operational excellence for all production ML systems
- Serve as a crucial technical liaison with fellow principal engineers, architects, and product leaders to define the future of the Prisma AIRS platform and ensure cohesive end-to-end systems
- Address the most complex and challenging technical issues in large-scale inference, from counteracting new security threats to achieving unparalleled performance objectives
Description
At Palo Alto Networks, our mission is to safeguard our digital way of life through innovation and impact. We cultivate a collaborative environment where every voice matters and ideas are valued, fueling passionate work alongside a team of like-minded individuals. Our role as cyber security innovators is defined by our core values: Disruption, Collaboration, Execution, Integrity, and Inclusion. Currently, we are developing Prisma AIRS, a comprehensive AI security platform pivotal for organizations utilizing AI-driven technologies. We thrive on in-person collaboration to foster relationships and problem-solving. We are eager for diverse and talented individuals to join us in shaping the future of cybersecurity.
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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 3470 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?
D3 Security Management Systems, GINGER Telecom, Gatestone & Co. Inc, ID Cosmetic clinic, GE Aerospace, Allied Technical Solutions, Confidential among others, are currently hiring for ML, AI roles in the United States.
The company with most openings is Judge Group, Inc. as they are hiring for 247 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 Judge Group, Inc. as they are hiring for 247 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.