Lookout
Cybersecurity
StaffSoftwareEngineer-ML/AI
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff Software Engineer -ML/AI at Lookout. Skills: Machine Learning, AI, MLOps, Cybersecurity. Own machine learning lifecycle. Research ML models”
Industry & Context.
Root cause analysis; Troubleshooting; Scale challenges; Performance challenges
On-call duties
What They're Looking For.
Must Have
BS/MS in Computer Science, 5-8 years of work experience, Architecting and deploying ML/AI systems, Expert proficiency in Python, Production-grade code writing, Major ML/Deep Learning frameworks experience, Standard ML algorithms expertise, Production ML infrastructure experience, Software engineering fundamentals, Secure, scalable API services implementation
Nice to Have
Model distillation experience, Model quantization experience, LLM fine-tuning methods experience, LoRA and PEFT techniques experience, Coding agents experience, Event streaming frameworks experience, Serverless architectures on AWS, GCP experience, Kubernetes experience, Docker experience, ECS experience, EKS experience
What You'll Do.
Own machine learning lifecycle
Deploy ML models to production
Implement frameworks for training
Implement frameworks for evaluation
Implement frameworks for stress-testing
Implement frameworks for monitoring ML/AI systems
Drive continuous improvement
Address scale challenges
Address performance challenges
Ensure ML/AI models are efficient
Ensure ML/AI systems are robust
Maintain target quality
Maintain target latency
Set technical direction
Mentor junior engineers
Improve automated testing
Participate in service ownership
Participate in component ownership
Perform on-call duties
How You'll Work.
Team & Collaboration
Cross-functionally with data engineers; Cross-functionally with platform engineers; Cross-functionally with product stakeholders
Full Job Description
Lookout, Inc. is a globally recognized cybersecurity leader delivering advanced protection for the most vulnerable element of any enterprise security strategy — human error and manipulation. Cloud-native by design, the Lookout platform offers rapid, scalable deployment and simplified security operations, defending the frontline of human-centric attacks—the mobile device. Attackers now target the human element more than ever, with mobile devices providing the most direct path to their victims. Using social engineering techniques that exploit basic human instincts like trust, curiosity, and urgency, they deceive users into revealing sensitive credentials, allowing them to slip past legacy security solutions. Lookout Endpoint Detection and Response (EDR) continuously monitors mobile endpoints for signs of human-centric attacks, as well as traditional malware, software vulnerabilities, and other anomalous activity. It uses advanced threat detection techniques, including artificial intelligence (AI) and behavioral analysis, to identify threats before they escalate across the enterprise. Learn more at www.lookout.com and follow us on the Lookout Blog, LinkedIn, and X. Lookout’s backend system supports a massive volume of data and an increasingly high level of demand, from data ingestion to delivery to dynamic analysis. We’re looking for talented and motivated engineers to build core components and services, as well as to contribute to evolving the architecture. We’re a small team working on a very large, modern system with a user base of millions, so you’ll get to work on a cutting-edge product and service on a large scale. We’re responsible for building and maintaining several of the services powering the various Lookout applications.. What you’ll do: You will be part of a dynamic and technically diverse group of engineers, where you will get to contribute, influence, learn and grow top notch technical skill sets, while building key features for our customers. Own the fu
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