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

Senior Staff Machine Learning Engineer (AI Agent)

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agent...

Location

United States; Canada

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, Mathematics, or a related field
Master’s or Ph.D. preferred, or equivalent professional experience
7+ years of hands-on industry experience with AI and machine learning
3+ years of experience working with LLMs in large-scale production environments
Expert knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs
Proven leadership in designing and deploying AI solutions at scale
Extensive practical knowledge of modern machine learning frameworks and technologies (e.g., PyTorch, Tensorflow, Hugging Face, NumPy)
Experience with distributed systems and cloud-based AI infrastructure
Strong problem-solving and strategic thinking abilities
Proven ability to lead cross-functional teams and work collaboratively to deliver innovative AI solutions in production

Job Responsibility

Design, develop, and deploy Cresta’s AI Agent solutions and proprietary models
Focus on practical AI challenges such as improving reasoning, planning capabilities, and evaluation in real-world scenarios
Collaborate with cross-functional teams including front-end and back-end software engineers to integrate AI Agents into Cresta’s customer solutions
Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases
Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta’s AI Agents
Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems

What we offer

Variety of medical, dental, and vision plans
Paid parental leave
Monthly Health & Wellness allowance
Work from home office stipend
Lunch reimbursement for in-office employees
PTO: 3 weeks in Canada
Base salary, equity, and a variety of benefits

Fulltime

LLM - Senior Staff Engineer - Python + Machine Learning

AquSag is seeking a hands-on Machine Learning Senior Staff Engineer to lead cros...

Location

Salary:

40.00 - 60.00 USD / Hour

AquSag Technologies

Expiration Date

Until further notice

Requirements

9+ yrs of strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs)
Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed
Hands-on experience in Docker for Production deployment
Proven experience managing teams delivering ML/LLM models in production environments
Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure)
Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines
Excellent leadership, communication, and cross-functional collaboration skills
Bachelor’s or Master’s in Computer Science, Engineering, or related field (PhD preferred)
Overlap of 6 hours with PST time zone is mandatory
Commitments Required: 8 hours per day with overlap of 6 hours with PST

Job Responsibility

Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals
Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment
Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics
Provide technical direction on large-scale model training, fine-tuning, and distributed systems design
Implement best practices in MLOps, model governance, experiment tracking, and CI/CD for ML
Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards
Communicate progress, risks, and results to stakeholders and executives effectively

Fulltime

Member of technical staff - Research - Agent

About H: H exists to push the boundaries of superintelligence with agentic AI. B...

Location

France; United Kingdom , Paris; London

Salary:

Not provided

H Company

Expiration Date

Until further notice

Requirements

Senior Experience: Previous demonstrable role(s) as a Staff, Principal, or Senior Engineer (or equivalent Research Scientist) in a Frontier AI Lab with a proven track record of leading complex, end-to-end AI/ML projects from conception to production
Education / Publication: Preferably PhD (or equivalent research experience) in Machine Learning, Computer Science, or a related field, preferably with a strong publication record (e.g., NeurIPS, ICML, ICLR) in Computer Science
Core Expertise: Deep theoretical and practical expertise in Agentic AI and proven experience building, scaling, and shipping solutions involving foundation models (LLMs/VLMs)
Soft Skills: Collaborative: Enjoys collaboration and thrives in a teamwork-oriented, fast-paced research environment
High-Impact Communicator: Possesses impactful communication skills, with the ability to bridge the gap between research and engineering and articulate complex ideas clearly
Mission-Driven: Genuinely eager to explore and solve the new engineering and research challenges at the frontier of agentic AI

Job Responsibility

Research & Leadership: Design and develop new agents, proposing new research directions, e.g., combining state-of-the-art RL with foundation models (LLMs/VLMs)
Algorithm & Systems Design: Design, implement, and scale complex, high-performance systems for training large-scale agents. This includes both the foundational infrastructure and the novel algorithms, reward models, and sophisticated training environments
Research-to-Production: Collaborate closely with researchers and engineers to implement, test, and productionize new agent logics, learning algorithms, and system architectures
Evaluation & Reliability: Create, manage, and scale massive benchmarks and evaluation systems to rigorously track agent capabilities. You will own system reliability, scalability, and observability for our entire research infrastructure
Mentorship & Standards: Mentor and guide other engineers and researchers on the team, fostering technical excellence. You will establish and enforce engineering standards, tooling, and best practices for both code and research design
Innovation: Conduct thorough code and design reviews, champion technical innovation, and proactively address technical debt to accelerate the R&D lifecycle

What we offer

Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups
Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment
Enjoy a competitive salary
Unlock opportunities for professional growth, continuous learning, and career development

Fulltime

Staff Software Engineer – Forward Deployed

We are seeking a skilled Software Engineer who will design, build, and maintain ...

Location

China , Shanghai; Dalian; Wuhan

Salary:

Not provided

Pfizer

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or related field with 8-12 years of relevant experience
AI-Augmented Development: optimize AI tool usage, train engineers on AI-augmented workflows, evaluate new AI development tools, establish practices that balance AI speed with verification rigor
Business Immersion: rapidly acquire domain expertise, translate between business and engineering, mentor engineers on immersion
Data Integration: navigate complex enterprise data landscapes, build relationships to gain data access, handle undocumented schemas, build robust integration solutions, mentor engineers on data integration
Full-Stack Development: build complete applications rapidly across any technology stack, select the right tools, balance technical debt with delivery speed, mentor engineers on full-stack development
Multi-Audience Communication: influence through communication at all levels, handle difficult conversations skillfully, train engineers on effective communication, represent teams across the function
Problem Discovery: seek out undefined problems, embed with users to discover latent needs, coach engineers on problem discovery techniques, turn ambiguity into clear problem statements
Rapid Prototyping & Validation: lead rapid delivery initiatives, coach on prototype-first approaches, establish trust through consistent fast delivery, define clear criteria for prototype-to-production transitions
Site Reliability Engineering: define reliability standards, drive post-incident improvements systematically, design capacity planning processes, mentor engineers on SRE practices
Stakeholder Management: influence senior stakeholders, manage complex stakeholder landscapes with competing agendas, build trust rapidly with new stakeholders, shield teams from organizational friction

Job Responsibility

Delivery: Lead technical delivery of complex projects across multiple teams, unblock others through hands-on contributions, ensure engineering quality
AI: Design AI-augmented engineering workflows for your area, evaluate new AI tools, train engineers on effective AI usage, balance speed with verification
People: Coach multiple engineers on career growth, lead hiring for technical roles across your area, shape team technical culture
Business: Drive business outcomes through technical solutions across your area, influence product roadmaps, partner effectively with business stakeholders
Process: Drive process efficiency within your team, coordinate cross-functional technical work, lead retrospectives
Documentation: Design documentation strategies for your projects, ensure knowledge persists beyond individuals, write specifications that enable effective collaboration

Fulltime

Senior Staff Generative AI Engineer

At Citi, we are pioneering the future of enterprise operations through innovativ...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Proven professional software engineering experience, designing, building, and delivering scalable enterprise-grade solutions in commercial production environments
Expert-level proficiency in Python
Extensive hands-on experience with Generative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks
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
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
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

Unprecedented Impact & Visibility: Contribute to critical, high-visibility projects that are transforming a global enterprise
Cutting-Edge Technology: Work with the latest Generative AI models, agentic frameworks, and cloud-native technologies, enhanced by access to AI-assisted development tools like Devin and Copilot
Growth & Development: A culture of continuous learning, mentorship, and opportunities to lead and innovate
Benefit from extensive learning resources including Udemy for Business and Pluralsight
Collaborative Environment: Join a highly skilled, passionate team that values collaboration, intellectual curiosity, and shared success
Flexible Work Environment: Embrace a hybrid working model, balancing productive in-office collaboration (3 days) with the flexibility of working from home (up to 2 days)
Global Scale: Build solutions that operate at a massive scale, impacting users and operations worldwide

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

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 Machine Learning Engineer - Clinical - AI Teams

We are looking for a Senior Staff Machine Learning Engineer to join the Clinical...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

10+ years in ML/AI with 3+ years at Staff+ or Principal level leading complex, multi-team technical initiatives
PhD in Computer Science, AI, Statistics, or related field (or equivalent research experience)
Deep expertise in at least two of: clinical NLP, LLM fine-tuning and evaluation, automatic speech recognition, RAG systems, or reinforcement learning
Expert in Python, PyTorch/Transformers for training, vLLM/similar for inference with a track record deploying ML systems in production (AWS/GCP)
Exceptional communication skills and are able to align diverse stakeholders and explain complex technical decisions

Job Responsibility

Own the long-term technical roadmap for clinical ML systems, from model architecture selection to production deployment patterns
Drive strategic build vs. buy decisions, balancing custom development with foundation model APIs
Define standards for safe rollout in healthcare contexts: shadow testing, staged deployment, and human-in-the-loop workflows
Lead design and implementation of LLM-powered clinical agents (consultation summarization, clinical coding, evidence-grounded recommendations)
Establish rigorous evaluation frameworks using real-world clinical datasets, ensuring outputs meet clinical accuracy and safety standards
Build production infrastructure: model and prompt versioning, guardrails, uncertainty quantification, cost optimization, and observability
Define a bold strategy for online and offline performance objectives to reach new levels of healthcare professionals satisfaction
Mentor Staff or Senior ML Engineers and Applied Scientists, elevating technical standards across the organization
Lead cross-functional initiatives spanning Product, Medical Affairs, Legal, and Compliance teams
Translate clinical needs into research questions and production systems that measurably improve patient outcomes

What we offer

Free comprehensive health insurance for you and your children
Parent Care Program: receive one additional month of leave on top of the legal parental leave
Free mental health and coaching services through our partner Moka.care
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Work from abroad for up to 10 days per year thanks to our flexibility days policy
Work Council subsidy to refund part of sport club membership or creative class
Up to 14 days of RTT
A subsidy from the work council to refund part of the membership to a sport club or a creative class
Lunch voucher with Swile card

Fulltime

Senior Staff AI Research Engineer

CampusGroup

Location:
United States , New York City

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 18, 2026

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