Sr. Staff Machine Learning Engineer Job at Palo Alto Networks Italia (Santa Clara)

Sr Staff Machine Learning Engineer (ADEM)

The ADEM engineering team is the engine of innovation at Palo Alto Networks. We ...

Location

United States , Santa Clara

Salary:

147000.00 - 237500.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

6+ years of software engineering experience, with a significant portion dedicated to designing and operating complex, resource-constrained client-side or endpoint software in a large-scale deployment
As a leader in engineering efficiency, you must be an expert in leveraging AI-powered development tools—including Claude Code, Cursor, Windsurf, and GitHub Copilot—to radically accelerate the SDLC and automate complex refactoring and testing workflows
Proven track record of architecting and shipping production-quality software for multiple operating systems (Windows, macOS, Linux) with a deep understanding of OS internals, networking stacks (L3-L7), and system performance tuning
Coding Rust, or Go (Golang) for high-performance client development is required
BS/MS/PhD in Computer Science or a related technical field, or equivalent high-level professional experience.

Job Responsibility

Define the long-term architectural vision for the ADEM Agent across Linux, Windows, macOS, and mobile platforms, ensuring robust performance, minimal resource consumption
Lead the 'Design Review Board' for all Agent-side features, ensuring all components adhere to Secure AI by Design, operate with high-availability patterns in diverse OS environments, and maintain a low CPU/memory footprint
Drive the evolution of the Agent's telemetry collection and processing pipeline, optimizing for low-latency, encrypted data transfer and ensuring resilience in low-bandwidth or disconnected environments
Partner with Product Management, Core Infrastructure, and Security teams to translate ambiguous business requirements into robust, high-performance technical specifications for the client software
Act as a force multiplier by mentoring Staff and Senior engineers, fostering a culture of rigorous platform-specific testing, high code quality, and proactive technical debt management within the Agent codebase
Serve as the ultimate technical escalation point for complex, systemic production issues related to endpoint stability or performance, leading post-mortems that drive permanent architectural improvements in the Agent

What we offer

restricted stock units
bonus

Fulltime

Sr Staff Machine Learning Engineer (Web Security)

The Web Security Research team is responsible for delivering high quality AI pow...

Location

United States , Santa Clara

Salary:

141000.00 - 228075.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

Creative thinker and team player with a passion for data-driven security research, and building high quality, complex systems as a part of an incredible research team
Strong Web Security background and expertise in detecting security threats over the Internet, such as, phishing, fraud, botnet, spam
Hands-on experience in applying Machine Learning within the domain of Web Security and building detection models
Experience with Tensorflow, PyTorch, or Vertex AI
Strong engineering skills and ability to fastly learn and adapt to new programming languages and technologies
Strong programming skills in Python and Shell scripting
Must have MS/PhD or 2+ years of relevant industry experience or equivalent military experience required
Strong research, communication and presentational skills

Job Responsibility

Track and research emerging online threats and innovate new AI-powered automated ways to identify malicious indicators used by malicious websites and URLs
Leverage data-driven techniques and frontier technologies in ML and AI to build novel detection models for malicious URL detection and blocking
Design, develop, test, threat prevention and detection systems to protect enterprise customers around the globe
Convert research results and discoveries into real-impact innovative products
Implement and maintain complex software pipelines and data infrastructures with challenging requirements on high quality and performance
Work across teams to deliver production-impact projects

What we offer

restricted stock units
bonus

Fulltime

Sr Staff Machine Learning Engineer - Ads

Ads is a growing business at Uber. As part of this team, you will get an opportu...

Location

United States , San Francisco; Sunnyvale

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Technical leadership and drive technical direction for ads delivery area
Lead the design and implementation of advanced ML systems for all ads products at Uber
Own end-to-end ML model lifecycle from research through production deployment and continuous optimization
Build scalable ML architecture and feature management systems supporting ads marketplace
Establish ML engineering best practices, monitoring, and operational excellence across the organization
Create platform abstractions that enable other ML engineers to iterate faster on improvements
Collaborate with ads marketplace product and science teams to productionize cutting-edge ML research
Work with platform engineering teams to ensure ML systems meet reliability and performance standards
Influence technical roadmaps across multiple teams through technical leadership and strategic thinking
Mentor and grow senior ML engineers, establishing technical standards and engineering culture

Job Responsibility

Provide technical leadership, and drive technical direction for the ads delivery area
Work with cross-functional teams to find opportunities and implement enhancements to improve consumer experience and unlock value for advertisers and Uber

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Sr. Staff Engineer, Matching & Segmentation

We are seeking a Sr. Staff Engineer and Tech Lead to join Uber's Mobility Matchi...

Location

United States , San Francisco

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, or a related technical field
8-10+ years of professional software development experience, building and operating systems in production environments
Strong knowledge of backend development, distributed systems, and system design for large-scale, low-latency applications
Experience with ML systems, optimization algorithms, or real-time decision systems in production
Demonstrated ability to lead complex, multi-team technical initiatives with significant cross-org dependencies
Excellent communication skills and the ability to collaborate effectively with cross-functional teams including Product, Science, and Operations
Proven ability to mentor and elevate other engineers, including Senior and Staff-level ICs

Job Responsibility

Be the Tech Lead for a complex domain within Matching & Segmentation, setting technical direction and driving architecture decisions across matching algorithms, segmentation models, forecasting systems, and real-time marketplace infrastructure
Design, develop, and deploy ML and optimization systems that solve high-impact business problems at scale — including real-time matching, reinforcement learning-based dispatch, and experiment-driven product development
Lead projects that span across orgs (e.g., matching, driver pricing, rider pricing, surge, platform) with significant cross-org dependencies and design complexity
Collaborate closely with Scientists, Product Managers, and peer engineering teams to define technical strategy, translate business requirements into system designs, and deliver high-quality solutions
Drive ongoing improvements in system reliability, performance, scalability, and efficiency through strong engineering practices, automation, and observability
Mentor and grow engineers across the organization, including Senior and Staff engineers, raising the technical bar and fostering a culture of engineering excellence
Contribute to the design and evolution of Uber's large-scale experimentation infrastructure, including Switchback experiments that power marketplace optimization decisions
Deliver and review technical designs, code, and documentation to a high standard, and champion best practices in data management, data quality, and service deployment

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Sr. Staff Engineer (Conversational/Voice AI)

Uber’s Customer Obsession team builds the platform and AI that powers world‑clas...

Location

United States , Sunnyvale, California; San Francisco, California

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

10+ years building production ML/AI systems
4+ years leading complex ML initiatives end‑to‑end
Deep expertise in LLM‑driven systems (inference optimization, prompt/program design, fine‑tuning, distillation/LoRA, safety/guardrails, evals)
Strong software engineering in Python plus one of Go/Java/C++
hands‑on with microservices, gRPC/HTTP, cloud infra, containers, CI/CD, and real‑time telemetry/observability
Demonstrated ownership of high‑availability services (SLO/SLA design, incident response, on‑call leadership, postmortems)
Track record of shipping customer‑facing intelligent experiences with measurable impact (A/B testing, metrics literacy)

Job Responsibility

Own the end‑to‑end agent architecture: agentic planning and execution loops, long-term memory, persona/voice, knowledge routing, and policy enforcement for compliant, on‑brand conversations
Ship production systems that handle millions of conversations with rigorous SLOs, fallbacks, and canaries
design graceful degradation (e.g., human handoff) and safety guardrails (prompt‑injection, jailbreak, PII redaction)
Lead voice agent initiatives: Drive the development of Uber’s voice support agent—covering real-time speech recognition (ASR), text-to-speech, natural turn-taking (barge-in and endpointing), and reliable telephony/WebRTC integration
Advance retrieval & reasoning: Build next-generation retrieval and reasoning pipelines, where the agent can search across different knowledge sources, apply policy-driven tools, and call structured workflows and ensure that responses are consistently grounded
Establish evals that matter: offline rubrics, simulated scenarios, safety tests, cost/latency tradeoff suites, and LLM‑as‑judge (with calibrated human review) wired into CI/CD and experiment platforms
Drive automation at scale: partner with Product/Design/Operations on coverage, policy alignment, localization, and rollout strategy to better customer experience and reduce cost per contact
Mentor/principal‑lead multiple pods
set technical strategy and quality bars
coach senior engineers on agentic patterns, reliability, and experiment velocity

What we offer

Eligible to participate in Uber's bonus program
may be offered an equity award & other types of comp
eligible for various benefits (details at https://www.uber.com/careers/benefits)

Fulltime

Sr Staff ML Engineer - Applied AI

We are building AI-native discovery experiences across Mobility and Delivery. Se...

Location

United States , San Francisco

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Masters degree or Ph.D in Computer Science, Engineering, Mathematics
12+ years of ML experience, including significant work on large-scale deep learning systems
Demonstrated ownership of high-impact ML systems in search, recommendations, or conversational AI
Deep expertise in transformers, retrieval systems, ranking, and embedding architectures
Strong experience with PyTorch and distributed training
Proven ability to set the technical strategy for a large organization and influence product roadmaps at the executive level
Strong product intuition and ability to connect model improvements to business outcomes

Job Responsibility

Define and champion the multi-year technical vision and architecture for foundation models across Search, Recommendations, and Conversational AI
Set the architectural standard and drive system design for critical, high-leverage ML platforms across Mobility and Delivery
Lead cross-team initiatives spanning Retrieval, Ranking, Personalization, and LLM-powered assistants, resolving complex technical trade-offs across organizational boundaries
Define long-term investment areas (build vs fine-tune vs partner models) with clear business rationale and long-term viability
Provide principal-level technical leadership, mentoring Staff and Senior Staff engineers, and setting the bar for technical excellence across the entire AI organization

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Sr Staff AI Software Engineer (CORA AI)

Idira is looking for a Senior AI Software Engineer to join our Generative AI fou...

Location

Israel , Petah Tikva

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

Bachelor's degree with 15 years of experience, or Master's degree with 12 years of experience, or PhD with 8 years of experience
Extensive experience in software engineering, with a focus on building and deploying production-grade systems
Proven experience with cloud platforms, particularly AWS services
Strong programming skills in languages such as Python
Hands-on experience with machine learning, deep learning, and Large Language Models (LLMs)
Experience with the full software development lifecycle (design, development, testing, deployment, maintenance)

Job Responsibility

Design, develop, and deploy scalable AI agents and shared infrastructure for GenAI capabilities
Manage the full software development lifecycle, from prototyping to production-grade, observable systems
Collaborate with product managers, researchers, and engineers to translate ideas into robust and scalable services
Work hands-on with large language models (LLMs), agentic frameworks, and a broad range of AWS services
Implement strong telemetry, evaluation metrics, and feedback loops to continuously improve AI solutions
Champion operational excellence through pragmatic experimentation, iteration, and solid design

Sr Staff AV Behavior Safety Engineer

The Safety Assurance for Effective Autonomous Driving Software (SAFE‑ADS) depart...

Location

United States

Salary:

185100.00 - 284100.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
6+ years of experience in machine learning, engineering, data science, or a related field
6+ years in autonomous vehicle or robotics development or related field
Demonstrated experience working on production‑intent AV programs
Track record providing technical safety leadership in AV development (e.g., defining safety strategies, risk assessments, validation methodologies, safety case contributions)
Deep understanding of AV behavior development: defining ODDs, behaviors, and evaluation criteria
analyzing simulation, closed‑course, and public‑road test data
and generating prioritized, actionable recommendations for developers
Experience applying AV safety standards and best practices, such as ISO 5083, ISO 21448 (SOTIF), and AVSC practices
Excellent communication and storytelling skills, including the ability to explain complex technical tradeoffs to executives and non‑technical stakeholders

Job Responsibility

Lead the strategy and support execution for how GM defines, measures, and validates the safety of SAE Level 3 – 4 Automated Driving Systems powered by machine‑learned models
Reference and interpret standards such as ISO 21448 (SOTIF), ISO 5083, and AVSC best practices to define GM’s strategy for safe autonomous system development, validation and deployment
Own the behavior‑focused portion of the ADS Safety Case, including key claims, sufficiency criteria, and recommended evidence for AV behavior safety performance
Collaborate with Software Validation, Embodied AI, Simulation, and Safety Metrics teams to define the end‑to‑end AV behavior validation methodology for AI‑driven systems
Set the strategy for how we systematically break down ODDs and how performance is validated per behavior and in aggregate
Collaborate on evaluation metrics, human benchmarks, and safety launch targets for AV behaviors and overall system performance
This includes supporting development of safety performance indicators (SPIs) for AV behaviors
Assess AV performance across safety and reliability dimensions using simulation, closed‑course, and public‑road data and provide clear, prioritized feedback to engineering teams
Define and run an assurance process to verify the sufficiency criteria and safety targets to support launch readiness

What we offer

Medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts
Company vehicle evaluation program
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance

Fulltime

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Sr. Staff Machine Learning Engineer

Job Description

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