Design and ship ML systems for document understanding, extraction, classification, and scoring to power Copilot and Autopilot features.
Own the full lifecycle of ML solutions from problem framing to production monitoring, using user feedback and error analysis to drive continuous improvement.
Partner with product, engineering, and accounting experts to integrate ML naturally into user workflows and define quality metrics that reflect real value.
Own the ML/AI platform, including training infrastructure, model serving, inference pipelines, and production integrations.
Set technical direction for ML/AI architecture, tooling, standards, and strategy in partnership with data science and engineering.
Drive GenAI and LLM engineering, including RAG, prompt engineering, fine-tuning, and agentic workflows.
This company builds AI/ML infrastructure for financial technology products used by over 1,600 financial institutions. It operates as a globally distributed team with a focus on innovation and collaboration.
Design and maintain reliable, low-latency ML APIs to integrate Safety AI model outputs into cloud applications.
Build scalable data pipelines for continuous model iteration, backtesting, and online evaluation.
Optimize model artifacts for production and monitor rollout health, ensuring predictable failure modes.
Samsara builds a Connected Operations Cloud that helps physical operations use IoT data to improve safety, efficiency, and sustainability. Samsara is a recently public company with an employee-led remote culture and a long-term focus.
Own the ML/AI platform including training infrastructure, model serving, inference pipelines, and production integration.
Drive the GenAI/LLM strategy including retrieval architectures, evaluation harnesses, and agentic workflows.
Partner with data scientists, DevOps, and backend engineers to productionize models and define API contracts.
SavvyMoney is a US-based financial technology company providing integrated credit score and personal finance solutions to over 1,600 banks and credit unions throughout the United States. The company was recognized as a 'Top 25 Places to Work' in the San Francisco Bay Area and is an Inc. 5000 Fastest Growing Company.
Own the development, fine-tuning, and evaluation of in-house AI models from dataset design through to production deployment.
Run supervised fine-tuning and post-training experiments, establishing benchmarks and evaluation harnesses.
Take models to production on Stream's serving stack, tuning for latency, cost, and reliability at high volume.
Stream provides APIs and SDKs for building activity feeds, chat, and voice/video, powering over a billion end users worldwide. We are a team of over 120 peers from over 35 countries, with a casual social culture that values transparency and excellence.
Build and contribute to RAG system components under senior guidance, with growing autonomy.
Write production code across the stack and integrate AI components into backend services and RESTful APIs.
Support deployment to AWS with CI/CD, and contribute to evaluation, documentation, and architectural decisions.
Provectus is an AWS Premier Partner and Anthropic Strategic Partner that helps enterprises implement AI solutions using Claude and agentic systems. They have a global presence with offices in North America, LATAM, and EMEA, and maintain a remote-friendly culture with a growing team of AI engineers.
Provide technical leadership and mentorship to MLEs, driving strategy, designs, and best practices in analysis, modeling, and engineering.
Develop new or iterate on existing embedding models for advertising use cases, including aggregation pipelines, two-tower architectures, and sequence models.
Ensure reliability, scalability, and performance of ML systems through automated tests, monitoring, and best practices for model management.
Reddit is a community of communities built on shared interests, passion, and trust. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet's largest sources of information, operating with a flexible first workforce.
Design, develop, and deploy AI/ML and GenAI solutions from concept through production.
Build and optimize models for NLP, forecasting, classification, and anomaly detection.
Collaborate with stakeholders to translate business needs into scalable AI systems.
Our partner company builds and deploys high-impact AI and machine learning solutions across various industries. They offer a remote-first culture and emphasize collaboration and technical excellence.
Own ML projects end-to-end from exploration to production deployment.
Build agentic LLM systems with multi-step workflows and tool use.
Treat evaluation as core engineering work with robust testing pipelines.
We are building AI to heal billions and unlock humanity's full potential, pioneering a new approach to healthcare. With over 1 million members, 15 million AI sessions, and $500 million raised, we are defining a new standard for healthcare.
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.
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, implement, and operate benchmark execution and evaluation harnesses for AI models and agentic workflows.
Develop evaluation methodologies that combine automated metrics with structured human subject matter expert judgment.
Produce defensible evaluation reports comparing candidate capabilities with current mission workflows, including documented limitations and failure modes.
OpenTeams helps enterprises and governments build AI they control, govern, and evolve themselves. Founded by NumPy and SciPy creator Travis Oliphant, the company is built by people with deep roots in the open-source ecosystem.
Design and build the AI component of a hybrid rule-based and ML system for SAP catalog mapping.
Author the AI/ML Architecture Design Document and recommend accuracy thresholds.
Implement the 4-tier catalog code mapping engine, anomaly detection, and a feedback loop for operator corrections.
South Geeks engages top-performing Software Engineers, Security Experts, and Data Analysts from Latin America to join clients' teams worldwide. We pride ourselves on a people-centered culture that powers innovation, collaboration, and excellence.
Architect and implement a next-generation LLM enrichment pipeline for enterprise knowledge graphs.
Design taxonomies, iterate prompts, and build evaluation harnesses for entity classification and metadata generation.
Own end-to-end pipeline from Azure OpenAI integration to human-in-the-loop review and documentation.
ArcTouch creates lovable apps, websites, and connected experiences for world-class companies and innovative startups. It is a specialty studio within the award-winning AKQA Group, with a culture that values collaboration, diversity, and building products people love.
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.
Develop and improve ads ranking models, including prediction objectives, feature interactions, user-history modeling, and calibration.
Take end-to-end ownership of machine learning systems from data pipelines to production integration.
Evaluate and apply advances in deep learning and recommendation modeling to improve ads ranking within production constraints.
Quora operates two knowledge-sharing platforms: Quora, a global Q&A platform, and Poe, a platform for interacting with AI language models. They have a remote-first culture with passionate, collaborative, and high-performing global teams focused on transparency and experimentation.
Design, develop, and optimize NLP models for text processing and information extraction.
Build robust data pipelines with DBT, Snowflake, and Airflow to support ML workflows.
Deploy and monitor scalable AI solutions that enhance decision-making and user experience.
Miratech is a global IT services and consulting company that partners with enterprises and startups to drive digital transformation. With nearly 1,000 full-time professionals and a 99% project success rate, the company maintains a values-driven culture of relentless performance and over 25% annual growth.
Build, evaluate, and improve ML ranking models for private, team, and brand content search.
Drive relevance and recall improvements, focusing on enterprise user outcomes and emerging surfaces like agent search.
Investigate and resolve quality or relevance regressions in production search while communicating trade-offs clearly.
Canva is redefining how the world experiences design. With headquarters in Sydney and a second campus in Melbourne, the company fosters a flexible, inclusive culture and empowers teams to do their best work.
Develop and own the full lifecycle of extraction models, from framing and data annotation to deployment and monitoring.
Partner with clinical stakeholders to define accuracy standards and build evaluation harnesses for defensible quality.
Build clinical NLP pipelines and productionize ML systems, using both traditional ML and LLMs with rigorous evaluation and observability.
Novellia is the first company that lets anyone in the U.S. access nearly a decade of their health data in under 30 seconds, 100% free, delivering comprehensive health insights to accelerate biopharma innovation. They are growing 5x year over year, have raised close to $30M in funding, and are backed by top investors, fostering a passionate, patient-centric culture.
Write and ship production AI code daily as an active contributor.
Build the retrieval, graph, and inference layers on top of our data platform.
Set patterns other teams build against and turn company goals into shipped systems.
Acquia empowers brands to create digital customer experiences using its Drupal-based Digital Experience Platform. It is a Great Place to Work-Certified company with thousands of global organizations as clients.
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.