Own a multimodal ML work-stream from problem definition through deployment, translating clinical needs into clear ML objectives and building systems with transformers, self-supervised learning, and segmentation.
Design rigorous evaluations beyond offline metrics, partner with engineering to productionize models, and investigate failure modes like laterality errors and hallucination.
Communicate research findings clearly, mentor less experienced researchers, and contribute to the research roadmap by identifying promising approaches.
Rad AI is an AI-driven healthcare company revolutionizing radiology by saving time, reducing burnout, and improving patient care. With over $140M in funding, a valuation of $528M, and partnerships with thousands of radiologists, Rad AI is a fast-growing team of mission-driven innovators.
Design and run experiments to understand model behavior and test new ideas.
Create datasets, benchmarks, and evaluation methods for hard problems.
Work directly with AI labs to turn open-ended goals into concrete research projects.
Vetto builds the infrastructure for next-generation AI training data. They partner with the world’s top AI labs and offer a fast, flat, remote-first culture with high ownership.
Use AI/ML expertise to solve real-world problems and develop new methods for LLM training and evaluation.
Research, propose, implement, train, and evaluate models and techniques end to end.
Build and maintain training pipelines and evaluation harnesses to ensure reproducibility and measurable progress.
ServiceNow is an AI platform company that helps organizations work smarter with AI and automation. It serves over 8,100 clients, including 85% of the Fortune 500, and fosters an AI-native culture.
Design, develop, and deploy AI solutions that power business products and operations.
Collaborate with product, data science, and engineering teams to build scalable, production-ready AI systems.
Write clean, maintainable code and integrate AI/ML models into backend and frontend applications.
Zone & Co is the ERP-native AI platform for financial operations, purpose-built for organizations running on Oracle NetSuite. They serve more than 4,500 customers worldwide and operate as a high-velocity, fully remote, global team.
Own end-to-end AI solution delivery inside ORA, from design to deployment with measurable success metrics.
Design AI workflows across the call lifecycle, including pre-call briefs, in-call guidance, and post-call grading.
Partner with RevOps and QA to close the loop, raise the technical bar, and stay current with emerging AI tooling.
HighLevel is an AI-powered all-in-one white-label sales & marketing platform that empowers agencies and businesses to drive growth. With over 1,500 team members across 15+ countries, we operate a remote-first environment with a culture rooted in creativity and collaboration.
Develop and improve core AI methods and systems for reliable AI agents across the full lifecycle.
Create novel approaches for simulation, evaluation, and optimization of agent behavior in production.
Turn research ideas into working prototypes and production-facing capabilities.
This is an early-stage AI infrastructure company focused on making AI agents reliable in production. The company values innovation and practical deployment, with a small team driving frontier AI research and product development.
Design, build, deploy, and monitor LLM-powered document analysis pipelines that serve lawyers daily, meeting defined latency SLAs and accuracy benchmarks.
Architect multi-step, multi-agent systems for complex legal tasks with robust state management, tool calling, and human-in-the-loop checkpoints.
Collaborate with lawyers and product to translate ambiguous legal workflows into structured AI problems and iterate based on user feedback and eval results.
Cleary Gottlieb is a global law firm that provides legal services through 14 offices in major financial centers worldwide. The firm employs approximately 1,100 lawyers from more than 50 countries and operates as a single, integrated global partnership with a culture of intellectual agility and human touch.
Build and ship ML and GenAI systems from research to production.
Communicate technical concepts clearly to non-technical stakeholders.
Foster an atmosphere of experimentation, continuous learning, and improvement.
Expel is a cybersecurity company that uses machine learning and generative AI to detect threats in customers' environments. They offer a small, highly transparent environment where your voice matters and decisions have direct impact.
Design, develop, and deploy AI/ML models including NLP, predictive models, and intelligent automation workflows.
Integrate LLM-powered features using APIs like OpenAI and implement RAG patterns and AI agent workflows.
Collaborate with cross-functional teams to translate requirements into AI use cases and contribute to engineering best practices.
We are a confidential US-based organization dedicated to leveraging AI and technology to drive business transformation. Our team values innovation and collaboration, and we foster a culture that supports employee growth and responsible AI practices.
Design, build, and deploy generative AI systems using large language models, RAG, and agentic workflows.
Own the full lifecycle from experimentation to production, including evaluation, infrastructure, and monitoring.
Collaborate with Product, Engineering, and Data teams to turn AI ideas into scalable, secure customer experiences.
Typeform is a form builder that helps over 150,000 businesses collect data with forms, surveys, and quizzes that people enjoy. With 500 million responses annually, we are a diverse team of 500+ employees committed to excellence, respect, and transparency.
Design and execute technical training programs for AI data and annotation teams, including curricula and certifications.
Own quality frameworks, monitor KPIs like accuracy and defect rates, and drive continuous improvement.
Provide technical guidance for AI data projects such as LLM evaluation, RLHF, and model benchmarking.
Innodata is a global data engineering company that provides data, evaluation frameworks, and human expertise for AI systems. With over 36 years of experience, they are committed to delivering the highest quality data and outstanding outcomes for clients.
Evaluate sophisticated machine learning models, traditional quantitative models, and emerging Generative AI applications.
Partner with cross-functional teams to maintain model inventories, risk assessments, and governance materials.
Translate complex technical concepts into clear insights for stakeholders and support regulatory readiness.
A growing technology-driven banking environment focused on consumer lending and financial services. The company emphasizes a remote-first culture, cross-functional collaboration, and inclusive workplace practices.
Architect and own the technical roadmap for a secure local LLM platform deployed in company-controlled infrastructure.
Build modular inference layers with stable APIs, model routing, and production-grade serving optimizations.
Design and operate retrieval-augmented generation pipelines with permission-aware access and systematic evaluation.
Parallel Wireless is a U.S.-based pioneer in Open RAN innovation, transforming how mobile networks are built and powered. The company is a leader in software-centric, hardware-agnostic network solutions with a focus on reducing complexity and total cost of ownership.
Develop and deploy machine learning and AI systems.
Work with LLMs, generative AI, and modern ML frameworks.
Optimize model performance, latency, and cost.
A fast-growing technology company building critical infrastructure that powers high-volume, real-time business operations across multiple systems and platforms. It is a collaborative, fast-moving environment where engineers have meaningful influence on architecture and product direction.
Own and extend the offline evaluation suite for AI products, building datasets and metrics.
Build online quality dashboards and close the production feedback loop by mining failure patterns.
Translate numbers into clear decisions for Product and domain experts.
Finom is a European tech startup developing an all-in-one financial B2B platform integrating banking, accounting, and invoicing for entrepreneurs. With over €115 million in Series C funding and a team dedicated to innovation, they foster a start-up culture that values bold ideas and swift implementation.
Build agentic AI systems for rare disease research, including conversation logic and validation steps.
Model outputs in Pydantic with structured output and tool calling to ensure typed and traceable fields.
Write and test prompts for clinical and scientific reasoning tasks, treating prompts as code.
Axle is a bioscience and IT company advancing translational research and data science for healthcare organizations. They collaborate with top research facilities including NIH and emphasize diversity and innovation.
Architect and deploy autonomous AI agents and multi-agent workflows for privacy-first systems.
Build scalable backend services using FastAPI and orchestrate agentic workflows with LangGraph in AWS or Azure.
Develop rigorous evaluation pipelines for accuracy, citation adherence, latency, and reliability.
Osano is a leading data privacy platform that helps organizations comply with global privacy regulations like GDPR and CCPA. Backed by top-tier investors and recognized as a Great Place to Work for four years running, the company has a 97% employee satisfaction rate and a mission-driven, fast-growing culture.
Apply deep learning and foundation models to solve fraud detection and financial risk problems using large-scale behavioral and sequential datasets.
Take models through the complete ML lifecycle including data preparation, pretraining, deployment, and production optimization.
Collaborate with cross-functional teams and clients to translate model capabilities into actionable risk decisions.
The company is a fintech organization focused on fraud detection and financial risk using AI and deep learning. It operates with a remote-first culture and a collaborative, autonomous team.
Design, develop, and implement scalable AI and Generative AI solutions aligned with business and product requirements.
Build and productionize LLM-powered applications, intelligent automation systems, and AI-driven workflows.
Work as a Forward Deployment Engineer with customers, users, product teams, and internal stakeholders to understand real-world challenges and deliver tailored AI solutions.
The company is a partner organization focused on AI and Generative AI solutions. Employee count and culture are not specified.