Own reusable utility ML libraries for forecasting, disaggregation, demand response, detection, and asset health. - Own the simulation engine with Rust and Python bindings, including validation methodology. - Own the grid-data toolkits including protocol codecs and synthetic scenario generators.
AZX accelerates positive impact in critical industries through AI transformation, specializing in physics-informed ML for climate and sustainability. Founded in 2024, it is a profitable public benefit corporation that works with industry leaders in real estate, energy, logistics, and utilities.
Design, build, and operate scalable backend services, APIs, and data pipelines for ML-driven personalization.
Improve reliability, performance, and observability of production ML systems, including model versioning and safe rollout.
Collaborate with data scientists and product engineers to translate business needs into robust technical solutions.
Hungryroot uses AI to build a consumer-centric food and wellness company, acting as a personal assistant for healthy living by recommending and delivering healthy groceries, recipes, and supplements. They are a distributed team across 28+ US states with a remote-first culture emphasizing collaboration, flexibility, and an annual company retreat.
Build and ship AI-powered tools and agents across the full stack, including API integrations and backend services.
Deploy and manage solutions in Azure and AWS, handling monitoring, capacity, and incident response.
Collaborate with stakeholders to scope requirements and deliver production-ready solutions.
Revalize empowers manufacturing businesses with CPQ, PLM, and design solutions. It serves over 16,000 global customers and is a portfolio company of TA Associates and Hg.
Design, build, deploy, and maintain scalable machine learning and AI systems in GCP to solve complex business problems and create new value.
Partner across teams to understand problem definitions, data needs, and solution approaches, and support model deployment with MLOps practices.
Take ownership of production issues, perform root cause analysis, and improve documentation and quality assurance processes for ML systems.
General Mills makes food the world loves, operating across 100+ markets. As a large company, it prioritizes being a force for good and fosters a culture of bold thinking and big hearts, where employees challenge each other and grow together.
Design and optimize prompts for Vision-Language Models to support document classification and code compliance validation. - Build and maintain automated AI evaluation pipelines that measure model accuracy, latency, and cost. - Architect scalable AI platform capabilities using Azure, Python, and FastAPI, ensuring production readiness.
Accela provides cloud-based government software solutions to improve efficiency and citizen engagement, enabling thriving communities. The company has been an industry leader for nearly 20 years, serving small and medium governments with a diverse and inclusive workplace.
Design, build, and productionize ML models for ETA prediction using regression, classification, and time-series forecasting.
Develop NLP/LLM-based extraction pipelines for message-based status updates, including text extraction and entity recognition.
Own models end-to-end from data pipeline to deployment and monitoring, turning noisy logistics data into scalable solutions.
FourKites is the leader in AI-driven supply chain transformation, providing real-time visibility and an Intelligent Control Tower that breaks down enterprise silos. The company processes over 3.2 million supply chain events daily, serving 1,600-plus global brands, and fosters a collaborative culture with a focus on diversity and inclusion.
Develop tools and automate manual processes to improve operational efficiency and accelerate experimentation.
Build, integrate, and monitor end-to-end lifecycles of large-scale distributed machine learning systems.
Enhance ML pipelines for forecasting platforms with automated retraining and deployment.
Apella applies computer vision and machine learning to improve the standard of care in surgery. They are a remote-first startup focused on building reliable ML solutions for healthcare.
Embed across teams to identify where AI can remove operational friction and build internal tools end-to-end.
Drive adoption through workshops, pairing, and office hours, measuring success by active usage.
Partner with Security to establish guardrails, access scoping, and audit trails for AI solutions.
LocalStack is a local cloud development platform that provides secure local sandboxes simulating cloud environments for developers and AI agents. They are a Series A startup with $25M funding, globally distributed teams across 25 countries, and a culture focused on ownership, openness, and excellence.
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.
Build and productionize traditional ML models (classification, regression, anomaly detection) from proof of concept through deployment.
Develop agentic AI tools and data products that turn one-off analysis into durable, self-serve capabilities for stakeholders.
Partner with engineering to productionize models within Bestow's pipelines, including feature engineering, validation, and monitoring.
Bestow is a vertical technology platform that unifies the life insurance value chain, enabling carriers to launch products quickly with AI and automation. Backed by leading investors and trusted by major carriers, the company offers flexible work, meaningful benefits, and substantial growth opportunities.
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.