Design, develop, and deploy foundational AI and ML models, building robust, scalable pipelines for advanced analytics.
Champion top-tier coding, testing, and MLOps practices, navigating ambiguity to refine pipelines and elevate workflows.
Partner with cross-functional stakeholders to convert strategic needs into technical specs and embed ML features into live applications.
Wave helps small businesses thrive so the heart of our communities beats stronger. They create an environment buzzing with creative energy and inspiration, valuing boldness, quick learning, and generous knowledge sharing.
Design, develop, and maintain MLOps pipelines on AWS to automate and operationalize machine learning models.
Collaborate with Data Scientists to deploy, monitor, and scale ML solutions in production environments.
Architect cloud-based systems, integrate APIs, and build web applications and LLM-powered agents.
The company is a partner of Jobgether, specializing in cloud and AI solutions. It fosters a collaborative, innovation-driven environment with a focus on professional development and employee well-being.
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.
Architect and develop robust, end-to-end machine learning solutions, managing the complete ML lifecycle from development to production.
Collaborate closely with data engineers and data scientists to create highly scalable solutions and integrate them across the software development life cycle.
Evaluate cloud solutions for performance and cost-efficiency, and communicate technical concepts clearly to stakeholders and teams.
Coderio designs and delivers scalable digital solutions for global companies, combining strong technical expertise with a product mindset to lead complex software initiatives end-to-end. They work with international clients, value autonomy and clear communication, and build long-term partnerships through technical 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.
Own the full lifecycle of production machine learning models from handoff to deployment and monitoring.
Ensure model reliability through drift detection, performance monitoring, and incident response.
Extend the shared ML platform to make it stronger and cheaper for future models.
CarOnSale is the AI-powered platform for B2B used car trading in Europe, connecting over 40,000 buyers from 20+ countries. We are a team of engineers and data scientists building the operating system for the industry, with a culture of direct ownership and short decision paths.
Integrate and deploy automated event-tagger into production pipelines, running and monitoring tagging tasks at scale across petabytes of vehicle log data.
Build and maintain data engineering pipelines that organize, structure, and catalog tagged scenario data into the observations database.
Own CI/CD using GitHub Actions, write production code in Python, and operate on Databricks and AWS infrastructure.
Torc is an autonomous driving technology company that develops software for automated trucks. Founded in 2007 and now part of Daimler, the company has a collaborative culture and offers competitive benefits.
Lead AI/ML strategy, architecture, and technical implementation across complex programs.
Design, develop, and deploy scalable AI/ML models and intelligent systems for decision support and automation.
Integrate cybersecurity, data governance, and compliance into AI/ML development workflows.
This company specializes in AI and machine learning solutions, focusing on secure, scalable production deployments. It fosters a collaborative culture with opportunities to work on advanced technologies and mentor others.
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.
Drive the technical and product roadmap by contributing innovative ideas and estimating effort for high-velocity execution.
Collaborate with product managers and engineers to translate abstract business needs into scalable technical implementations.
Own end-to-end responsibility for complex initiatives, from scoping with stakeholders to production deployment and maintenance.
TrueML is a mission-driven financial software company that uses machine learning to create better digital experiences for distressed borrowers. The team includes inspired data scientists, financial services experts, and customer experience fanatics building technology to ensure nobody gets locked out of the financial system.
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.
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.
Lead the architectural design and development of scalable AI/ML pipelines for enterprise initiatives.
Provide technical leadership and mentorship to AI/ML engineers and data scientists.
Deploy and manage advanced models including LLMs and Generative AI in production environments.
They are an organization focused on delivering enterprise AI and Machine Learning solutions. They offer a fully remote, flexible work environment with a strong emphasis on professional growth and collaboration.
Directly manage a team of applied ML scientists, coaching them through model development and technical decision making.
Own execution for your area, including priorities, delivery, and results, while remaining hands-on with code review and production systems.
Partner with senior leadership, Product, Engineering, and Risk to prioritize work and deliver impactful ML solutions.
SentiLink provides innovative identity and risk solutions, building the future of identity verification in the United States. They are a fast-growing company backed by top investors, with offices across the US and India, and have earned recognition from major media outlets.
Lead a team building data platforms and ML operations infrastructure.
Own reliability, scalability, and continuous improvement of analytics systems.
Collaborate with data scientists and leaders to deliver impactful ML solutions.
The company builds advanced data and machine learning platforms that power analytics and intelligent products. Its culture emphasizes innovation, reliability, and inclusivity, supporting professional growth and technical excellence.
Build and maintain reliable, scalable, and secure infrastructure solutions for large-scale SaaS applications.
Automate infrastructure provisioning, configuration, deployment, and optimization processes.
Collaborate with R&D teams to improve production stability, reliability, and developer experience.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They use technology to ensure fair and efficient recruitment.
Provide on-call MLOps support for model development teams, triaging and resolving pipeline issues.
Assist in debugging model workflows and identifying root causes across the ML stack.
Collaborate with senior engineers to improve tooling, documentation, and operational processes.
Torc is an autonomous driving leader since 2007 and now part of Daimler, building software for automated trucks. The culture is collaborative, energetic, and team-focused.
Design and maintain CI/CD and MLOps pipelines for AI and software applications, ensuring seamless deployment and automation.
Build and scale cloud-native infrastructure using Kubernetes, Docker, and GPU clusters to support high-performance AI workloads.
Champion Infrastructure as Code and observability practices to ensure high availability, security, and compliance across multi-cloud environments.
Bitdeer is a world-leading technology company providing AI and Bitcoin mining infrastructure. Headquartered in Singapore, the company has a global presence with data centers in multiple countries and a culture focused on innovation and reliability.
Design, build, and operate end-to-end ML systems across batch and real-time workloads.
Develop production capabilities for personalization, recommendations, optimization, and experimentation.
Provide technical leadership for ML architecture and distributed systems.
Kard is building commerce media infrastructure that connects financial institutions, financial-services platforms, and merchants through data and merchant-funded rewards. It is a remote-first company that values initiative, openness, and humility.
Design, provision, and maintain secure and scalable cloud infrastructure on AWS using EKS and ECS.
Build and optimize CI/CD pipelines using GitLab CI and Azure DevOps.
Utilize Terraform and Ansible for infrastructure as code and configuration management.
Miratech is a global IT services and consulting company that brings together enterprise and start-up innovation. The company retains nearly 1000 full-time professionals with a culture of Relentless Performance.