Senior Staff Engineer, Applied AI Job at Geico (Chevy Chase, MD)

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

Staff Engineer-Applied AI

At Barclays, we don’t just adapt to the future, we create it. As a Staff Enginee...

Location

India , Bengaluru

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

A Bachelor’s degree (or above) in computer science, engineering, mathematics, or a related discipline
Experience in developing software applications for scale on cloud(AWS or Azure or GCP)
Fluent in Python or Java or GoLang programming language and frameworks
Hands-on experience in GenAI and Agentic AI frameworks such as LangGraph/LangChain, CrewAI, Strands SDK, Google ADK etc.
Familiarity on working with MCP and A2A protocols
Solid understanding of working with LLM Models, writing prompts efficiently that provides accurate context for LLM Agents
Hands-on experience in developing and deploying Agentic AI solutions using cloud native services like AWS Bedrock or Azure AI Foundry or GCP Vertex AI
Strong understanding of AI implementation in software development and legacy code transformation
Experience in developing APIs and integrating LLM models into software applications
Ability to work on system design from ideation through completion with limited supervision

Job Responsibility

Lead the development of GenAI & Agentic AI systems & solutions to build intelligent conversational AI and workflow automation for specific business domains
Design and develop Full-Stack Multi Agentic AI systems using Agentic AI frameworks, LLMs and technologies, build function tools and integrate them with Back-End systems using REST-API, MCP or A2A protocols
Design, develop and Expose Agentic AI back-end, wrap existing back-end systems with MCP Servers to other agentic front-end and agentic back-end systems
Apply context engineering techniques such as context caching, context compression etc... to improve model’s (LLM) performance and response times
Implement guardrails & policy enforcement for safety and security risks that are required to duly comply with the organization’s data privacy and security standards
Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization
Communicate effectively with both technical and non-technical stakeholders, including senior leadership
Develop and maintain tools and frameworks for prompt-based model training, evaluation, and optimization
Analyze and interpret data to evaluate model performance and identify areas of improvement
Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution
Health and wellness access to wellness rooms, gyms and mental health support
Modern workspaces, collaborative areas, and state-of-the-art meeting rooms
Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations

Fulltime

Staff Software Engineer – Applied AI

Lead the design and delivery of end-to-end AI applications, from discovery and p...

Location

United Arab Emirates , Dubai

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

7+ years’ experience building production-grade software
Strong backend capability (Python preferred, but stack-agnostic mindset)
Hands-on experience or strong interest in LLMs / GenAI (LangChain, vector DBs, model tooling, eval frameworks etc.)
Comfortable owning projects end-to-end and interacting directly with technical stakeholders
Startup mentality – high ownership, adaptable, and excited by ambiguity

Job Responsibility

Architecting and deploying custom AI solutions (automation, agents, evaluation frameworks, internal AI tooling)
Working directly with senior stakeholders (including CTO-level) on requirements and trade-offs
Leading technical direction across projects
Shaping engineering standards and culture as the team scales

What we offer

Front-row seat to real-world enterprise AI deployment
Exposure to a wide range of industries and use cases
Senior, high-calibre engineering environment
Opportunity to shape a new regional presence in Dubai

Fulltime

Staff Machine Learning Engineer - Applied AI

The Applied AI team collaborates with product teams across Uber to deliver innov...

Location

United States , Sunnyvale, California; San Francisco, California; Seattle, Washington

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Masters degree or Ph.D in Computer Science, Engineering, Mathematics
8+ 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
Track record of influencing technical direction across teams
Strong product intuition and ability to connect model improvements to business outcomes

Job Responsibility

Own the end-to-end technical strategy for foundation models across Search, Recommendations, and Conversational AI
Drive architecture decisions that influence multiple product surfaces (Eats, Grocery, Retail, Mobility)
Lead cross-team initiatives spanning Retrieval, Ranking, Personalization, and LLM-powered assistants
Define long-term investment areas (build vs fine-tune vs partner models)
Mentor senior engineers and act as a technical multiplier across the org

What we offer

Bonus program
Equity award
401(k) plan
Various benefits

Fulltime

Senior Staff Engineering Manager - Applied AI

GEICO is in the midst of an exciting transformation as a product and tech powere...

Location

United States , Chevy Chase; Palo Alto; Dallas

Salary:

140000.00 - 300000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

10+ years hands-on software or solutions engineering
recent experience architecting/building production systems
5+ years leading Agile teams delivering customer-impacting products
proven track record shipping AI/ML-enabled features to production with measurable impact
strong cloud experience (AWS or Azure)
CI/CD, SDLC, and modern engineering practices
practical MLOps/LLMOps experience (model lifecycle, telemetry, A/B testing, online and batch inference)
excellent stakeholder management and communication
Bachelor’s in CS/IS or related field (or equivalent experience)

Job Responsibility

Partner with product, data science, and AI Platform teams to define and deliver an Applied AI roadmap for claims tied to measurable business outcomes
Lead end-to-end delivery of AI features in the claims domain (e.g., claims triage/routing, adjuster assistance, subrogation/recovery opportunities, workload optimization)
Establish robust MLOps/LLMOps (model/prompt/version management, evaluation, feature/vector stores, CI/CD for ML, online/batch inference, cost/performance tuning)
Rapidly prototype using AI-assisted development tools (e.g., Cursor, Claude Code) to validate concepts and accelerate delivery
Ensure reliability, security, and Responsible AI (privacy-by-design, guardrails, human-in-the-loop, auditability)
Drive engineering excellence (clean architecture, scalable APIs, event-driven integration, observability, automated testing, SLOs/runbooks/on-call)
Recruit, coach, and grow a high-performing team
champion Agile practices and operational excellence

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Senior Staff AI Software System Design Engineer

As an AICE Software System Design Engineer, you will be responsible for the cust...

Location

China , Shanghai

Salary:

Not provided

AMD

Expiration Date

Until further notice

Requirements

Expert knowledge in machine learning areas such as frameworks (e.g. vLLM, Sglang, Megatron-LM, Deepspeed, TensorRT etc.)
distribution
kernel operator
compiler
runtime
driver
performance optimization for inference or training
strong programming skills in C++ and Python
hands-on experience with industry AI use scenarios, solutions, end-to-end pipelines, frameworks or SDKs
strong debugging and development skillsets

Job Responsibility

Position technical proposals and support to top customers
provide significant contribution to customer PoC success
drive custom requirements for AI SW
collaborate and interact with different teams to analyze and optimize training and inference workloads and solutions
analyze competitive solutions to identify strength and weakness for articulate value propositions
apply your knowledge of software engineering best practices

Fulltime

Senior Staff Engineer (Device Security)

At Palo Alto Networks® everything starts and ends with our mission: Being the cy...

Location

United States , Santa Clara

Salary:

126000.00 - 204500.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

Degree in Computer Science or similar fields
Ph.D. degree is a big plus
Strong background in security research combined with hands-on software development experience, particularly in system software development
Preference for candidates who understand Windows operating system security and programming
Demonstrated understanding and experience with using the latest AI/LLM technology
Good knowledge of computer networking in general, and Ethernet and TCP/IP in particular
Strong programming skills in languages such as C/C++, Python, Go, or Java
Experience in one or more of: Security vulnerability detection and monitoring
Malware attack analysis
IDS/IPS and application-based firewalls

Job Responsibility

Research and identify security vulnerabilities and threats across a wide range of devices, Operating Systems and software components
Drive innovation by applying the latest AI and LLM technologies to automated threat detection and device discovery
Conduct deep analysis of network traffic and device behaviors
Design and prototype security research tools and engine components for our cloud-based platforms
Collaborate on cross-functional projects to lead and coordinate research efforts
Support customer trials and handle complex security-related issues

What we offer

Restricted stock units
Bonus

Fulltime