Stability AI jobs

AI Engineer 3 Locations posted: Posted 24 Days Ago

Specialist, AI Mont Royal Job Summary The AI Specialist will be responsible for maintaining, evolving, and optimizing artificial intelligence solutions deployed on Google Cloud Platform (GCP), primarily based on large language models (LLMs). The role involves ensuring the performance, stability, and reliability of existing AI solutions, while actively contributing to their continuous improvement. Key Accountabilities • Ensure the operational maintenance of AI solutions hosted on GCP. • Monitor the performance of AI pipelines, models, and services. • Manage regular updates of models, dependencies, and GCP environments. • Perform tests to validate models and pipelines after each update. • Propose and implement optimizations (e.g., fine tuning, prompt updates, pipeline adjustments). • Contribute to the evolution of the AI architecture to improve scalability, security, and robustness. • Support internal teams in the use and understanding of AI solutions. Job Requirements • Minimum of 5 years of experience as a specialist. • Strong expertise in GCP. • Experience with LLMs: fine tuning, prompt engineering, model versioning, evaluation. • Proficiency in a programming language for model manipulation (e.g., Python). • Knowledge of CI/CD tools (GitHub Actions, Cloud Build, etc.). • Understanding of best practices in MLOps. • Bachelor's or Master's degree in computer science, software engineering, artificial intelligence, or a related field. • Hands on experience with AI/LLM projects. • Ability to solve complex

AI Engineer Ramos Arizpe, MX posted: Posted 30+ Days Ago

Adv. Eng. I, Infra Run & Stability Hyderabad, Telangana posted: Posted 25 Days Ago

Sales Manager - Power Stability Southwest Remote posted: Posted 30 Days Ago

Agentic AI Architect 2 Locations posted: Posted 30+ Days Ago

Forward Deployed Engineer, GenAI San Francisco, CA; New York, NY About Scale AI At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI) and building upon our prior model evaluation work with enterprise customers and governments to deepen our capabilities and offerings for public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we produce is some of the most critical work for how humanity will interact with AI. About Our FDE Team Generating high-quality data is the core problem our business solves. We aim to make producing and delivering high-quality data seamless and efficient for operators and customers. Our Team is building customer and operator-specific infrastructure to provide high-quality data with low turnaround time. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with the leading model-building organizations in the space, including the top AI research labs and government agencies. Join us in shaping the future of Artificial General Intelligence. As a Forward Deployed Engineer, you'll be at the forefront of providing

Sr. SM I, Infra Run & Stability Hyderabad, Telangana posted: Posted 17 Days Ago

Stability Team Manager IRL - Carlow - Carlow posted: Posted 3 Days Ago

AI Engineer, Multimodal LLMs San Francisco | OnSite MEET ELOQUENT AI At Eloquent AI, we're building the next generation of AI Operators-multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes far beyond chat: it sees, reads, clicks, types, and makes decisions-transforming how work gets done in regulated, high-stakes environments. We're already powering some of the world's leading financial institutions and insurers, fundamentally changing how millions of people manage their finances every day. From automating compliance reviews to handling customer operations, our Operators are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution. Headquartered in San Francisco with a global footprint, Eloquent AI is a fast-growing company backed by top-tier investors. Join us to work alongside world-class talent in AI, engineering, and product as we redefine the future of financial services. Your Role As an AI Engineer at Eloquent AI, you will be at the forefront of building, deploying, and optimizing enterprise-grade AI agents that handle high-stakes conversations. You'll work directly with software engineers, deep learning experts and AI researchers to design intelligent agents that understand, take action, and deliver real business impact. This role requires a mix of software development, AI integration, and problem-solving skills, with the ability to customize, optimize, and scale AI models for real-world enterprise applications. If you're passionate about LLMs, conversational AI, and solving last-mile AI adoption challenges, this role is for you. You will: - Build, deploy, and optimize AI agents that engage in enterprise-grade conversations. - Design

AI Lab - Machine Learning Engineer Sant Cugat del Valles, Barcelona, Spain

Stabilitätsbeauftragte/-r (Stability Coordinator) (m/w/d)- Pharma DE - Cuxhaven posted: Posted 2 Days Ago

Director, QC Systems and Stability Research Triangle Park, NC posted: Posted 8 Days Ago

Principal Software Engineer - Agentic AI 2 Locations posted: Posted 2 Days Ago

Lead AI Engineer, Data Solutions California - San Francisco; Washington - Seattle; Illinois - Chicago; New York - New York We are looking for a Lead AI Engineer to build next-generation AI and ML systems at Salesforce. This role focuses on developing intelligent decisioning systems and building an agent flywheel-a system of feedback loops that continuously evaluate, optimize, and improve agent performance over time. This is an applied AI role with strong data and systems ownership. You will build models and agents and the data pipelines and evaluation loops that enable continuous learning in production. What You'll Do Build the Agent Flywheel Design feedback loops that enable agents and ML systems to improve from real-world outcomes Track outcomes (engagement, conversion, quality) and evaluate agent performance Build pipelines that collect and structure agent traces into training and evaluation datasets Drive continuous improvement via prompting, policies, model selection, and fine-tuning Develop ML & Agent Systems Build and deploy ML models (classification, ranking, forecasting, recommendation) Design AI agents that combine LLM reasoning, tool usage, and ML decisioning Implement reusable patterns for multi-step reasoning, tool orchestration, and structured outputs Integrate models and agents into business-critical workflows Own Data & Model Pipelines Design and build scalable data pipelines (batch and near real-time) for training, evaluation, and inference Transform raw interaction data into features, labels, and evaluation datasets Enable continuous retraining and evaluation through tightly coupled data + model pipelines Ensure data quality, consistency, and reliability Evaluation & Experimentation Build offline and online evaluation frameworks Develop

HVDC & Power Stability – Business Developer Sao Paulo posted: Posted 30+ Days Ago

Regional Sales Manager – Power Stability West Remote posted: Posted 30 Days Ago

AI Engineer 2 Locations posted: Posted 30+ Days Ago

Project Manager (all genders) Energy Storage & Power Stability Berlin posted: Posted Today

Senior Manager, AI Inference Boston posted: Posted 24 Days Ago

Sales Manager - Power Stability Canada 2 Locations posted: Posted 28 Days Ago

AI Platform Engineer, Atlas AI USA (Phoenix) What Cognite is: Relentless to achieve Cognite operates at the forefront of industrial digitalization, building AI , and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. How you'll demonstrate Ownership We are seeking an AI Platform Engineer to join the Cognite Atlas AI Product team in Phoenix, AZ, to engineer, build, and operate the production-grade, multi-cloud platform that enables our internal and partner teams to build, deploy, and manage industrial AI agents. You will be responsible for creating the core services, frameworks, and infrastructure for our "agent builder workbench" and agent runtime, focusing on scalability, reliability, cost-efficiency, and security. Your work will directly impact industrial efficiency and sustainability, which is critical to our mission of powering a high-tech, sustainable, and profitable industrial future. The Impact you bring to Cognite - Design, build, and maintain the core Python SDKs and services for the Atlas AI

Staff AI Platform Engineer - Tangerine Toronto Requisition ID: 261943 Tangerine is Canada's leading direct bank. We offer flexible and accessible banking options, innovative products, and award-winning Client service. The reason why Tangerine employees come to work each day is to help Canadians live better lives. We focus on making a difference in our communities, and that includes our own internal community. It's important to us that our employees feel empowered and enthusiastic about belonging to our Orange culture. Do you like new challenges? Are you ready to reach new heights in your career and become part of an established disruptor? If so, come join us and help redefine the Canadian banking landscape! The Staff AI Platform Engineer is responsible for the engineering execution and delivery of technology solutions that support Tangerine's AI platform. This role ensures the timely delivery, quality, resiliency, and operational excellence of AI platform capabilities that support applications, processes and client journeys for Tangerine. The Staff AI Engineer partners closely with business and product leads to align on requirements and priorities, delivering technical solutions that support strategic business outcomes. Reporting to the Head, Data and AI Platforms, this role plays a key part in translating vision into executable plans and ensuring those plans are delivered with a high level of quality, stability, and stakeholder alignment. Is this role right for you? In this role, you will: Responsible for the successful

Machine Learning Systems Research Engineer, Agent Post-training - Enterprise GenAI San Francisco, CA; New York, NY AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research and resources that serve all of our enterprise clients. As an ML Sys Research Engineer, you'll work on building out the algorithms for our next-gen Agent RL training platform, support large scale training, and research and integrate state-of-the-art technologies to optimize our ML system. Your customer will be other MLREs and AAIs on the Enterprise AI team who are taking the training algorithms and applying them to client use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: - Build, profile and optimize our training and inference framework. - Post-train state of the art models, developed both internally and from the community, to