Senior Staff AI Research Engineer Job at CampusGroup (New York City)

Senior Staff Engineer, AI

We are seeking a visionary and hands-on Senior Staff AI Engineer to be the found...

Location

India

Salary:

Not provided

AlphaSense

Expiration Date

Until further notice

Requirements

10+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems
Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar
Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment
Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing)
Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority

Job Responsibility

Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges
Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput
Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently
Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Senior Staff AI Engineer

As a Senior Staff AI Engineer, you will be a senior technical leader responsible...

Location

United States , California

Salary:

199500.00 - 299300.00 USD / Year

Teradata

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
12+ years of experience building backend services, distributed systems, or data/AI platforms
Strong proficiency in Java, Go, or Python, with experience building largescale services
Deep understanding of distributed system design, scalability, fault tolerance, and cloud native architectures
Proven experience designing and operating production systems with SQL and NoSQL data stores

Job Responsibility

Lead the design and evolution of largescale, distributed AI systems that power Teradata’s AI platform and AI native products
Own end-to-end architecture for critical AI capabilities such as agentic workflows, RAG pipelines, vector search, semantic retrieval, and AI orchestration frameworks
Drive technical strategy and architectural consistency across multiple engineering teams
Design and implement production grade AI systems using LLMs, embeddings, vector databases, and agent based architectures
Build scalable, secure, and reusable platform services and APIs supporting AI workloads across the software development lifecycle
Define and implement guardrails for reliability, safety, governance, and cost control in enterprise AI systems
Partner with product management, architecture, research, and cloud platform teams to translate business requirements into scalable AI solutions
Influence roadmap decisions by providing deep technical insight, tradeoff analysis, and long-term platform thinking
Act as a technical escalation point for complex system design, performance, and reliability challenges
Drive best practices for testing, observability, evaluation, and production readiness of AI systems

What we offer

health care
life and disability insurance
retirement savings
time-off programs
401(k)-retirement savings plan

Fulltime

Senior Staff Generative AI Engineer - VP

Senior Staff Generative AI Engineer– VP. At Citi, we are pioneering the future o...

Location

United States , New York

Salary:

142320.00 - 213480.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of professional software engineering experience, demonstrating a strong track record of designing, building, and delivering scalable enterprise-grade solutions in commercial production environments, not just proofs-of-concept
Expert-level proficiency in Python is a must-have, with a deep understanding of its ecosystem for AI/ML development, data engineering, and backend services
Extensive hands-on experience with Generative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks (e.g., LangChain, LangGraph, Google ADK
Optionally AutoGen, CrewAI, LlamaIndex, Semantic Kernel)
Deep comfort and practical experience with containers and orchestration technologies, specifically OpenShift
Demonstrated ability to architect, develop, and deploy highly performant, large-scale AI/ML systems into production environments
Strong understanding of modern software development principles, clean code practices, data structures, algorithms, and distributed systems
Proficiency with Relational (preferably, PostgreSQL) and Vector (preferably, pgvector) databases

Job Responsibility

Architect & Build Production Systems: Lead the hands-on development of sophisticated Generative AI applications, LLM-powered solutions, and intricate agentic frameworks primarily using Python
Pioneer Automation with Agents: Design and implement intelligent agents capable of understanding, reasoning, and orchestrating complex workflows to automate critical enterprise business processes
Master Containerized Deployments: Demonstrate deep comfort and expertise with container technologies, particularly deploying and managing applications within OpenShift environments
Drive Technical Direction & Ownership: Contribute significantly to the technical strategy and roadmap for Generative AI adoption
Champion Engineering Excellence: Instill and uphold rigorous software engineering best practices, including robust testing, code reviews, documentation, and continuous integration/delivery
Innovate & Research: Stay at the bleeding edge of Generative AI, actively exploring new models, techniques, and frameworks
Mentor & Collaborate: Act as a technical leader and mentor to junior engineers, fostering a culture of knowledge sharing and continuous improvement
Iterate & Deliver: Thrive in an agile, fast-paced environment, prioritizing rapid delivery, iterative development, and adaptability
Ensure Responsible AI: Design and implement robust guardrails and ethical considerations into AI solutions

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
Access to AI-assisted development tools like Devin and Copilot
Learning resources including Udemy for Business and Pluralsight
Flexible Work Environment: hybrid working model (3 days in-office, 2 days home)

Fulltime

Senior Staff Research Scientist - Clinical AI Lab

At Doctolib, we're revolutionizing healthcare delivery through advanced AI syste...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

PhD or Master’s degree (plus significant experience) in Computer Science, Machine Learning, Mathematics, or a related field
Publications as first author in top-tier AI/ML conferences such as NeurIPS, ICLR, ICML, ACL, EMNLP, or relevant medical informatics venues are a plus
Deep understanding of machine learning and deep learning concepts, with hands-on experience in NLP, LLMs, or generative AI
Strong programming skills in Python (and ideally experience with ML frameworks such as PyTorch or JAX)
Familiarity with modern data tools and scalable training on large datasets
Track record of independently driving research and translating it into real-world applications
Experience designing experiments, evaluating intrinsic and extrinsic metrics, and iterating quickly
Curiosity and drive to learn, research, and apply new machine learning techniques
Comfortable working in highly cross-functional teams, with the ability to clearly communicate complex concepts to diverse audiences
Passionate about sharing knowledge and contributing to a culture of learning and innovation

Job Responsibility

Solve Real-World Healthcare Challenges: Design and build advanced machine learning models, especially in NLP and large language models, to improve healthcare workflows, enhance patient experiences, and power intelligent health solutions at scale
Innovate & Experiment: Research and prototype novel algorithms and architectures, staying at the forefront of AI/ML developments. Bring new ideas from concept to working prototypes, leveraging the latest advances in deep learning and generative AI
Collaborate Across Teams: Work closely with product, engineering, medical experts, and other stakeholders to translate business needs into impactful research projects. Communicate technical concepts and results clearly to both technical and non-technical audiences
Drive Impact: Analyze large, complex data sets to extract actionable insights, define key metrics, and rigorously evaluate model performance
Share & Learn: Advance Doctolib’s AI expertise by sharing findings within the team and with the wider ML community through publications, talks, and workshops. Mentor and support other scientists and engineers in adopting best practices

What we offer

Free comprehensive health insurance for you and your children
25 days of paid vacation per year, plus up to 14 days of RTT
Free mental health and coaching services through our partner Moka.care
Work from abroad for up to 10 days per year thanks to our flexibility days policy
Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib
A subsidy from the work council to refund part of the membership to a sport club or a creative class
50% reimbursement of your public transport subscription
Parent Care Program: receive one additional month of leave on top of the legal parental leave
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Relocation support in case of international mobility

Fulltime

Staff / Senior Backend Engineer, Agentic AI

This team designs intelligent, autonomous systems that eliminate financial opera...

Location

United States , San Francisco

Salary:

150000.00 - 299000.00 USD / Year

Airwallex

Expiration Date

Until further notice

Requirements

5+ years backend experience with Python at scale
Deep knowledge of SQL/NoSQL database design
Experience with distributed systems, event-driven architectures, or microservices
Familiarity with GCP services (Pub/Sub, Cloud Run, Cloud SQL, BigQuery, KMS, etc.)
Strong grasp of security and compliance best practices
Passion for building the backend that powers intelligent products

Job Responsibility

Design and operate distributed, event-driven systems that process high-volume, high-sensitivity financial data with strict correctness and latency guarantees
Build typed, production-grade APIs and services in Python (FastAPI + Pydantic) that power agentic workflows, AI copilots, and real-time financial infrastructure
Own data architecture end-to-end schema design, event models, ledger primitives, and storage layers optimized for auditability, traceability, and scale
Develop resilient infrastructure primitives (queues, retries, idempotency, observability, backpressure handling) that let teams ship fast without sacrificing reliability
Work at the intersection of systems + AI, building feedback loops where product data continuously improves models and models autonomously improve system behavior
Ship platform foundations, not one-off features internal frameworks, SDKs, and tooling that accelerate every engineer in the org
Partner closely with ML + product teams to productionize research-grade ideas into real customer-facing systems
Help define the architecture of an AI-native financial stack not bolting AI onto software, but designing software assuming AI is a first-class runtime

What we offer

Offers Equity
Offers Bonus
medical, dental, and vision insurance
a 401(k) plan
short-term and long-term disability
basic life insurance
well-being benefits
20 paid days of vacation
12 paid days of company holidays

Fulltime

Senior Staff Machine Learning Engineer – Moonshot AI

The Moonshot AI team sits within Uber AI Solutions where we are building an ente...

Location

United States , Sunnyvale

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

10+ years of industry experience developing and shipping production machine learning models
Ph.D., MS, or Bachelor's degree in Computer Science, Machine Learning, or a closely related discipline
Proven track record of technical leadership on large-scale ML initiatives with measurable business impact
Deep expertise across multiple areas: Computer Vision, Natural Language Processing, Deep Learning, and Generative AI
Strong proficiency with modern ML frameworks (PyTorch, TensorFlow, JAX) and programming languages
Extensive experience with distributed training infrastructure, large-scale model development, and ML platform design
Demonstrated ability to collaborate with product, engineering, and data science leadership on technical roadmaps and strategic priorities
Excellent problem-solving abilities with deep ML methodology expertise

Job Responsibility

Shape the technical vision and roadmap for Moonshot AI's ML initiatives
Architect foundational ML platforms and systems for marketplace optimization and annotation automation
Drive end-to-end ML solutions from conception through production deployment
Lead GenAI innovation: design and implement cutting-edge systems using custom SLMs, computer vision, and LLMs
Advance AI research capabilities: establish research direction, design benchmarks, contribute to research and publications
Build industry-leading evaluation frameworks: architect LLM-as-Judge systems and automated quality assessment platforms
Provide technical leadership across Uber AI Solutions
Mentor and develop engineering talent
Enable cross-functional impact

What we offer

Bonus program
Equity award & other types of comp
401(k) plan
Various benefits

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

Staff AI Engineer

As a Staff AI Engineer, you will be a senior technical leader responsible for de...

Location

India , Hyderabad

Salary:

Not provided

Teradata

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
8+ years of experience building backend services, distributed systems, or data/AI platforms
Strong proficiency in Java, Go, or Python, with experience building large‑scale services
Deep understanding of distributed system design, scalability, fault tolerance, and cloud‑native architectures
Proven experience designing and operating production systems with SQL and NoSQL data stores

Job Responsibility

Lead the design and evolution of large‑scale, distributed AI systems that power Teradata’s AI platform and AI‑native products
Own end‑to‑end architecture for critical AI capabilities such as agentic workflows, RAG pipelines, vector search, semantic retrieval, and AI orchestration frameworks
Drive technical strategy and architectural consistency across multiple engineering teams
Design and implement production‑grade AI systems using LLMs, embeddings, vector databases, and agent‑based architectures
Build scalable, secure, and reusable platform services and APIs supporting AI workloads across the software development lifecycle
Define and implement guardrails for reliability, safety, governance, and cost control in enterprise AI systems
Partner with product management, architecture, research, and cloud platform teams to translate business requirements into scalable AI solutions
Influence roadmap decisions by providing deep technical insight, trade‑off analysis, and long‑term platform thinking
Act as a technical escalation point for complex system design, performance, and reliability challenges
Drive best practices for testing, observability, evaluation, and production readiness of AI systems

What we offer

People-first culture
Flexible work model
Focus on well-being
Inclusive environment

Fulltime

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Senior Staff AI Research Engineer

Job Description

Job Responsibility

Requirements

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