Design, develop, and deploy ML models, including large language models, for various NLP tasks.
Collaborate with cross-functional teams to gather requirements, define architectures, and iterate on model development.
Stay up-to-date with latest research and contribute to best practices for responsible ML development.
Reddit is a community of communities built on shared interests, passion, and trust, hosting the most open and authentic conversations on the internet. With over 100,000 active communities and approximately 126 million daily active users, it is one of the internet's largest sources of information, fostering a culture of authenticity and community.
Design, build, and maintain automated AI evaluation pipelines for production LLM applications.
Develop prompt engineering strategies and evaluate model performance using quantitative methods.
Analyze production AI behavior with Python, SQL, and statistical techniques to identify improvement opportunities.
GovWorx provides an AI-powered platform, CommsCoach, that supports 9-1-1 and emergency communications centers by automating quality assurance, training, and real-time call evaluation. The company is a growing technology team focused on public safety, collaborating across AI, engineering, product, and data science.
Lead applied AI investments, owning technical direction for high-impact AI products and shipping systems across teams.
Collaborate cross-functionally to define and execute AI product innovation and engineering execution.
Help raise the bar for how we build, evaluate, and operate AI in production at scale.
Rula is a mental health company dedicated to treating the whole person with evidence-based and compassionate care. As a remote-first company, we hire in most U.S. states and focus on creating a culture of inclusion and well-being for our employees.
Lead, define, and develop full-stack software systems for large-scale safety research and evaluation platforms.
Implement service boundaries, data model evolution, and integration patterns across platforms.
Set technical direction, mentor junior engineers, and foster a collaborative work environment.
UL Research Institutes is a nonprofit safety science organization dedicated to exploring safety risks and creating a more secure and sustainable world. With a global reach and over a century of research, the organization employs a collaborative scientific approach to drive innovation and improve societal well-being.
Lead end-to-end AI solutions, integrating LLMs and building agentic systems in production.
Design and optimize RAG pipelines, enforce PII redaction, and ensure secure data handling.
Mentor engineers, evaluate AI tooling, and drive adoption of agentic SDLC practices.
3Pillar is an AI transformation partner helping enterprises build AI-native products and intelligent agents. With teams across North America, Europe, Latin America, and Asia, they foster a remote-first global culture guided by collaboration, respect, and evolution.
Design and implement security controls for AI systems, including LLMs and ML pipelines.
Develop threat models and guardrails to protect against adversarial ML risks like prompt injection and model abuse.
Collaborate with cross-functional teams to ensure secure and responsible deployment of AI capabilities at scale.
Jobgether is a platform that uses AI-powered matching to connect candidates with job opportunities. They partner with companies to manage applications and next steps, focusing on efficient and fair hiring processes.
Lead participatory research and co-design projects with partner organizations to develop AI Civics toolkits and training resources.
Steward relationships with national partners in K-12 education, labor, faith, or advocacy sectors.
Produce case studies, reports, and academic publications to advance public understanding of AI governance.
Data & Society is an independent nonprofit research organization studying the social implications of data-centric technologies and automation. It is a small to medium-sized organization that values empirical evidence and respect for human dignity, with a collaborative culture focused on inclusive engagement and anti-racist practices.
Own the design and defense of frontier model evaluations across reasoning, coding, agents, tool use, and multi-modal.
Build benchmark packages with expert-verified ground truth, multi-model headroom results, and rigorous QC.
Recruit, calibrate, and review a pool of subject-matter experts in coding, agentic/tool-use, and STEM/reasoning.
Anyone AI measures frontier model capability through expert-verified evaluation packages. The company operates as a remote team with a focus on rigorous benchmarking and lab collaboration.
Serve as primary technical advisor to customers, leading discovery sessions and translating business priorities into AI-enabled solutions.
Lead cross-functional engineering teams to design and deploy secure, scalable, and high-performing AI software systems.
Mentor engineers, establish engineering standards, and drive delivery of enterprise-scale AI solutions.
LTS delivers AI-powered software solutions for complex business and mission challenges. The company values innovation, growth, collaboration, and quality, and offers a culture that rewards ambition and performance.
Lead the design, development, and deployment of enterprise-scale AI and data solutions using AWS and Snowflake.
Architect and implement large language models and agentic AI workflows for business automation and decision support.
Collaborate with cross-functional teams to ensure solutions meet regulatory, security, and compliance requirements in financial services.
U.S. Financial Technology operates the largest and most advanced mortgage securitization platform globally, supporting the Uniform Mortgage-Backed Security of Fannie Mae and Freddie Mac. The company supports 70% of the mortgage-backed securities market and offers a full lifecycle of services with a focus on cloud-based technology and innovation.
Define and execute AI strategy, partnering with executive leadership to build AssetWatch's AI-native vision and roadmap.
Lead the AI and Data Science organization, building, mentoring, and developing high-performing teams across Machine Learning Engineering and AI Engineering.
Partner across the business to identify AI opportunities, implement governance, and measure impact on customer outcomes and revenue.
AssetWatch powers manufacturing uptime by delivering condition monitoring solutions for global manufacturers. They are a devoted team of world-renowned engineers and distinguished business leaders united by a common goal to build the future of predictive maintenance.
Shape and scale enterprise-wide AI capabilities as a strategic leader, bridging business teams, technology platforms, and AI initiatives.
Design scalable AI architectures and workflows across departments like Engineering, Sales, Marketing, Finance, Legal, HR, and Operations.
Create AI enablement programs including workshops, playbooks, and training materials to increase organizational AI maturity.
This role is listed on behalf of a partner company that manages applications and next steps. They are a global organization focused on enterprise-wide artificial intelligence capabilities, with a collaborative culture that values innovation and learning.
Build the AI Platform Foundation by leading design and ownership of core infrastructure.
Standardize the AI Developer Path by architecting high-level abstractions and APIs.
Engineer AI Trust & Safety Systems through monitoring and quality assurance layers.
Smartsheet provides a collaborative work management platform. As a publicly traded company with thousands of employees, it fosters a culture of innovation and inclusion.
Research data collection strategies and design high-impact data slices that uncover model failure modes.
Model annotator behavior and design experiments to optimize instruction clarity and reward signal reliability.
Develop metrics and frameworks for evaluating dataset quality, diversity, and impact on downstream model alignment.
Surge AI builds a platform that powers the most powerful AI models in partnership with companies like Anthropic, Google, Microsoft, and Meta. They are a profitable, bootstrapped company focused on human intelligence and data quality.
Lead the AI Platform team building the core AI Gateway for high-throughput LLM traffic.
Own strategy and architecture for processing up to 1 trillion LLM tokens per week with scalability.
Partner with product, research, and executive teams to align roadmap and technical governance.
AlphaSense provides AI-driven market intelligence to help companies make decisions. They have over 2,000 employees globally and are headquartered in New York City.
Lead and scale a team building next-generation AI evaluation infrastructure.
Define strategy and roadmap for evaluation platform including benchmark design and quality monitoring.
Drive innovation in evaluation methodologies like agentic and multi-turn assessment.
ServiceNow is the AI control tower for business reinvention, helping 85% of the Fortune 500 work smarter. The company fosters an AI-native culture where technology and talent are unstoppable together.
Lead AI strategy, standards, and governance for responsible enterprise adoption.
Partner with business leaders to identify and deliver high-value AI automation solutions.
Establish reusable patterns and best practices for scalable AI deployment.
FormFactor provides essential test and measurement technologies for the semiconductor product life cycle. The company serves customers globally and fosters an environment where diverse perspectives are celebrated and contributions matter.
Design and deploy agentic AI systems and LLM-based applications with a focus on scalability and reliability.
Build and optimize AI/ML models using Python, including prompt engineering and integration with modern LLM frameworks.
Work with large-scale enterprise data systems and databases such as SAP HANA, DB2, and SQL Server.
The company specializes in developing advanced AI systems and LLM-powered applications for enterprise data transformation. The team is collaborative and innovation-driven, focusing on cutting-edge AI research and engineering.
Own AI evaluation methods and operations for Figma's AI-powered experiences, defining quality dimensions and designing measurement frameworks.
Build and maintain evaluation frameworks, rubrics, golden datasets, and quality bars using human and automated approaches.
Produce clear readouts and dashboards to enable stakeholders to make confident shipping decisions.
Figma is on a mission to make design accessible to all, empowering teams to bring ideas to life through collaborative design and prototyping tools. With a growing team of passionate creatives and builders, Figma fosters a culture of growth and inclusivity.
Lead end-to-end development for the AI platform and customer experiences, from initial roadmap to rollout.
Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails balancing latency, cost, and accuracy.
Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards.
Jerry.ai is building the first AI agent to manage all your physical assets, starting with car insurance and expanding into home, motorcycle, and more. The company has 5M+ customers, raised $240M+, and has been profitable since 2024 with a fully remote team and offices in Palo Alto, New York, Chicago, and Toronto.