Design, build, and operate LLM-powered applications and services over catalog, sales, and operational data.
Stand up and maintain MCP servers and tool integrations that connect AI models to internal systems.
Own services end-to-end, evaluate emerging AI tooling, and raise the team's AI engineering capability.
Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom and many other regions around the world. We are committed to quality, excellence, and innovation throughout the entire publishing process, with a vibrant and diverse international community of nearly 300 publishing brands and imprints.
Own data science projects from business questions through to AI products in production.
Partner with teams, advise on data science work, and research AI applications for hospitality.
Build, evaluate, and ship machine learning models and AI products for customer-facing use.
Lighthouse is a hospitality AI platform that turns the world's largest hotel data network into real-time intelligence for commercial strategy. With $370M in Series C funding, $100M in ARR, and over 850 teammates across 35 countries, we help hoteliers make faster, smarter decisions.
Develop and improve AI methods, algorithms, and systems across the lifecycle of reliable AI agents.
Create new approaches for simulating, evaluating, and optimizing agent behavior in real-world settings.
Turn research ideas into working systems, prototypes, and production-facing capabilities.
The company builds infrastructure that helps enterprises make AI agents more reliable in production. It is a technical and research-focused team working on AI methods and practical systems.
Build the component layer around our layout synthesis engine, including API contracts, services, and evaluation gates.
Turn model retraining into a one-command job with built-in benchmarks and readable results for the whole team.
Own latency and cost budgets for learned capabilities and partner with infrastructure engineers on MLOps and deployment.
Higharc is a VC-backed startup that is changing how new homes are designed and built using spatial AI and generative floor plan technology. The company is fully remote, has raised over $175M, and values flexibility, collaboration, and asynchronous deep work.
Develop deep understanding of customer problems and map them to Cohere solutions as a trusted technical advisor.
Lead design and deployment of customer pilots, owning the technical narrative from discovery to business case.
Collaborate with Product and Engineering teams and partners to scale solutions and gather customer feedback.
Cohere is a leading security-first enterprise AI company building cutting-edge foundation AI models and products for real-world business problems. It is a global team of researchers, engineers, and designers headquartered in Toronto with offices worldwide, committed to driving AI adoption.
Owns the architectural direction for Code Metal's AI platform and the team building it.
Builds production-grade inference serving, model gateways, agent harnesses, and context-engineering services.
Instruments the stack end to end and drives experimentation and observability for reliable AI systems.
Code Metal provides automated software engineering using AI and formal verification to produce provably correct code. Founded in 2023 and backed by Accel, Salesforce Ventures, and others, it serves defense and enterprise customers from offices in Boston and San Francisco.
Build and own training pipelines for ML models, including data prep, fine-tuning, and experiment tracking.
Develop inference and serving layer with model gateway, routing, caching, and cost optimization.
Own release path for model-layer artifacts with canary deployments and monitoring for regressions.
Horizon3 is a fast-growing cybersecurity company that provides autonomous pentesting through its NodeZero platform. The team is a fusion of former special operations cyber operators, startup engineers, and cybersecurity practitioners, fostering a culture of respect, collaboration, and ownership.
Lead hands-on data science to turn revenue opportunities into production ML systems.
Apply causal inference, experimentation, and advanced analytics to guide product decisions.
Mentor data scientists and set technical best practices in a collaborative, remote-first environment.
This company builds consumer technology products serving over 100 million monthly active users, focusing on revenue growth through personalization, experimentation, and subscriptions. It operates with a remote-first, AI-native culture that values direct communication, integrity, and high-impact execution.
Lead the development and optimization of machine learning models to detect and prevent AI security risks like prompt injection and jailbreaks.
Build reproducible training and evaluation pipelines on Reddit's ML platform, partnering with platform engineers to improve performance and reliability.
Set the technical vision and multi-quarter modeling roadmap, mentoring engineers and establishing best practices for responsible ML development.
Reddit is a community of communities, built on shared interests and authentic conversations, with 100,000+ active communities and 130 million daily active visitors. It is one of the internet's largest sources of information, fostering a culture of openness and trust.
Lead the engineering foundation behind reliable, measurable, and scalable AI-powered features.
Build evaluation frameworks, observability tooling, and diagnostic infrastructure for AI agents in production.
Combine hands-on software engineering with technical leadership and people management.
The company builds AI-powered products with a focus on reliability, scalability, and evaluation infrastructure. It operates as a fully remote, globally distributed team with an ownership-oriented culture.
Build and ship AI methods for federal research data with LLMs, NLP, RAG, knowledge graphs.
Benchmark AI against baselines and human reviewers to prove gains in accuracy, reliability, efficiency, cost.
Set standards for trustworthy AI and mentor data scientists through code review and guidance.
ARI builds AI methods for federal research-funding and administrative data, with clients including the NIH. It is a small multidisciplinary team of scientists, analysts, economists, and data scientists experienced with NIH data.
Build the foundations of the EdgeRunner Research organization, including data pipelines, model evaluation, and efficient parallelization.
Own codebases in areas like distributed training, quantization, compression, or compute cluster management.
Collaborate with a team of self-starters who operate independently and translate business objectives into technical solutions.
EdgeRunner AI builds state-of-the-art AI models for the tactical edge, enabling warfighters to make faster decisions and interact with robotic platforms. As a Series-A startup, we move quickly, fostering a culture of initiative, ownership, and comfort with ambiguity.
Lead design and deployment of enterprise-scale AI and data solutions.
Architect LLM and agentic AI workflows using frameworks like LangChain and n8n.
Partner with teams to deliver secure, compliant, and innovative solutions.
U.S. Financial Technology operates the largest mortgage securitization platform in the world, supporting Fannie Mae and Freddie Mac's Uniform Mortgage-Backed Security. The company supports 70% of mortgage-backed securities and combines financial services expertise with leading technologists.
Design and implement cutting-edge machine learning algorithms and model architectures.
Collaborate with product, engineering, and analytics teams to integrate AI features across Atlassian products.
Conduct rigorous experimentation, model evaluation, and mentor emerging ML engineers.
Atlassian creates team collaboration software like Jira, Confluence, and Trello, aimed at unleashing the potential of every team. They are a distributed-first company with thousands of employees, emphasizing diversity, inclusion, and flexible work arrangements.
Generate and implement machine learning models to solve complex communications challenges.
Identify opportunities to improve model performance and scalability.
Perform data analysis and feature engineering to enhance model accuracy.
Cultivate a collaborative environment by sharing insights and best practices with the team.
Contribute to the development of Twilio's AI-driven hiring and communications platforms.
Twilio is shaping the future of communications by delivering innovative solutions to hundreds of thousands of businesses and empowering millions of developers worldwide to craft personalized customer experiences. With a remote-first culture and strong emphasis on connection and global inclusion, Twilio values diverse experiences and encourages employees to bring something new to the table.
Lead and mentor a team of software engineers building scalable machine learning infrastructure.
Define and own the multi-quarter technical strategy for data generation, orchestration, and distributed training.
Represent the Scalable ML team in org-level planning and architecture decisions, resolving cross-team tradeoffs on shared infrastructure.
Latitude AI is building the future of Ford's autonomy roadmap, developing a fully in-house hands-free ADAS platform. As a Ford Motor Company subsidiary, it operates independently like a technology startup with engineering centers in Pittsburgh, Dearborn, and Palo Alto.
Partner with Account Executives to drive the technical side of enterprise sales.
Design and deliver technical demonstrations of AI solutions and architect integrations.
Build enablement materials and self-service resources to scale adoption.
They are an AI-first company focused on helping enterprise customers implement cutting-edge AI solutions. They maintain a remote-first, location-flexible culture with a strong emphasis on talent and continuous learning.
Drive end-to-end program management for complex, cross-functional AI and autonomy initiatives with engineering teams and external partners.
Act as a technical thought partner, translating between business stakeholders, R&D engineers, and partner teams on AI systems, LLMs, and agentic frameworks.
Establish success criteria, manage risks, and optimize processes to deliver measurable program value across the AI & Autonomy function.
Rockwell Automation is a global technology leader in industrial automation and digital transformation, helping manufacturers be more productive and sustainable. With approximately 28,000 employees across more than 100 countries, they foster a culture of problem solvers and forward thinkers.
Support the responsible integration of AI into educational and operational business processes.
Design, develop, test, and deploy AI-driven solutions and process automations.
Conduct AI readiness assessments and evaluate emerging AI platforms for organizational applicability.
Rackner is a software consultancy focused on building mission-critical systems for the U.S. government, working across cloud platforms, DevSecOps, AI/ML, and modern software engineering. We are a collaborative team that supports growth and development, offering clear advancement tracks and a creative, forward-thinking environment.
Design and train advanced ML models (e.g., DNNs, transformers) to power Reddit Ads Ranking.
Develop and optimize features including embeddings, contextual signals, and cross-session behavior.
Mentor other MLEs and contribute to modeling best practices across the organization.
Reddit is a community of communities built on shared interests, passion, and trust. With over 100,000 active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information and employs a flexible first workforce.