Design and develop production-grade AI/ML services and web applications from proof-of-concept to scalable platforms.
Implement MLOps best practices, CI/CD pipelines, and cloud deployment for AI/ML workloads.
Collaborate with cross-functional teams to integrate AI capabilities into engineering workflows.
Cayuse Civil Services, LLC provides enterprise AI and engineering solutions for government and infrastructure clients. The company values innovation, excellence, collaboration, adaptability, and integrity, fostering a culture of teamwork and quality.
Drive AI/ML strategy, including the agentic AI platform and omni-channel resolution across Chat, Voice, and Generative UI.
Lead model strategy execution and build enterprise-grade ML infrastructure for Fortune 500 scale operations.
Recruit and scale a global AI/ML engineering organization of 100+ across the US, India, and Europe.
ServiceNow is the AI control tower for business reinvention, helping 85% of the Fortune 500 work smarter, faster, and better. It fosters an AI-native culture where technology and talent are unstoppable together, with a global team and flexible work personas.
Contribute to the design and development of artificial intelligence solutions, implementing core business logic in Node.js and ensuring scalable, high-performance architectures.
Develop and maintain AI agents, applying prompt engineering techniques when needed to optimize model behavior and outputs.
Evaluate and ensure the quality, consistency, and usability of annotated datasets used in AI/ML workflows.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly. The system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Be part of the alignment research team, working on projects selected for their high upside potential and under-resourced status.
Do real alignment research with real autonomy, in directions most organizations aren’t set up to pursue.
Break complex problems into concrete experiments and execute on them, independently or with a team.
AE Studio is a 160-person, fully bootstrapped ML consultancy that has spent over a decade building and shipping AI systems for clients. Without outside investors, we put money into alignment research through the AI Alignment Foundation, a nonprofit we founded to scale this work.
Design, build, train, evaluate and improve advanced machine learning and LLM-based systems for patient and provider-facing products.
Own problems end-to-end: scope the problem with clinicians and product partners, build datasets and evaluations, iterate on modeling.
Develop robust evaluation frameworks that give us confidence our models are safe, accurate, and improving over time.
Curai aims to transform healthcare delivery using artificial intelligence and clinical expertise to make care more affordable, accessible, and effective. They focus on improving health outcomes, expanding access to care, and setting new standards for trustworthy, patient-centered healthcare.
Help design the architecture of a system with multiple AI models, a set of backend APIs, and a frontend web application.
Write code within a small team, striking a reasonable balance between velocity and writing maintainable code.
Work with users and other team members to help define and refine product requirements, and translate them into a roadmap and code.
ConductorAI values candidates who can manage complexity and work independently. They are an equal opportunity employer using state-of-the-art tech to solve novel problems with mission partners.
Work closely with customers to integrate the LIGER GenAI platform into their existing business processes.
Build new functionalities and enhancements within the LIGER platform to meet specific customer needs.
Ensure successful deployment and initial configuration of the LIGER platform.
LMI is a digital solutions provider that accelerates government impact with innovation and speed. They bring commercial-grade platforms and mission-ready AI to federal agencies. LMI is headquartered in Tysons, Virginia, and is committed to delivering impactful results.
Drive the strategy, development, and deployment of machine learning models that detect and prevent harmful content and behavior at scale.
Lead and grow a high-performing Safety ML organization, including applied research, model development, productionization, and continuous improvement.
Develop and deploy cutting-edge Safety ML systems (including fine-tuned LLMs and transformer models) that outperform state-of-the-art solutions in quality, latency, and efficiency.
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