Lead the design and operation of production machine learning systems for batch and online use cases with a focus on reliability and scalability.
Build and improve ML lifecycle infrastructure including training pipelines, inference workflows, monitoring, and automation.
Partner with cross-functional teams to translate business problems into ML solutions and guide prototypes to robust production systems.
Included Health is a healthcare company delivering integrated virtual care and navigation, aiming to raise the standard of healthcare for everyone. They are a remote-first organization offering comprehensive benefits and fostering a culture of inclusion.
Drive end-to-end ML development for customer-facing SaaS products, from pipelines to production deployment and monitoring.
Design evaluation strategies and A/B tests to prove ML features improve customer outcomes and business impact.
Influence product roadmap by communicating ML capabilities and trade-offs to cross-functional teams.
WorkWave provides field service and logistics software solutions that help businesses manage their operations and serve their customers. They are a global company with a remote-first culture, recognized as a Best Place to Work and named among the top software companies worldwide.
Partner with Product and Engineering to identify high-impact opportunities and define success metrics.
Lead rigorous experimentation across teams with hypothesis design, A/B testing, and clear readouts.
Build and iterate on ML/AI capabilities that ship to production, optimizing for value, latency, and cost.
Traackr is a global SaaS company providing a data-driven influencer marketing platform for marketers to optimize investments and scale programs. They are a remote-first company with offices in San Francisco, New York, Boston, Paris, and London, operating on a culture of mutual respect with core values including trust, diversity, value, ownership, and mutual success.
Partner with analytics, marketing, and product teams to understand data needs and build systems for AI applications to access trusted data at scale.
Define standards, infrastructure, and governance for AI-driven experiences, ensuring data reliability, security, and usability.
Drive projects from design through production deployment, implementing data security and governance practices for sensitive data.
Rula is a mental healthcare company dedicated to treating the whole person with evidence-based, compassionate care. They are a remote-first organization with a focus on diversity, equity, and inclusion, hiring in most US states.
Develop and operate production-ready AI and machine learning systems for enterprise-scale products.
Build and optimize LLM-powered applications, RAG pipelines, and intelligent agents.
Implement software engineering best practices for AI development including CI/CD and testing.
Our partner is building enterprise-grade AI solutions that deliver measurable business impact. They offer a remote-friendly work environment with a collaborative engineering culture focused on innovation, quality, and continuous learning.
Develop machine learning and AI solutions for forecasting, anomaly detection, and operational intelligence.
Design scalable enterprise data architectures and build ETL/ELT pipelines for analytics and AI workloads.
Partner with stakeholders to define metrics, lead technical reviews, and mentor team members.
DataDirect Networks (DDN) is a global market leader in AI and high-performance data storage innovation, powering many of the world's most demanding AI data centers across industries like life sciences, healthcare, financial services, and research. With a proven track record of performance and scalability, DDN fosters a culture of innovation, customer-centricity, and passionate professionals committed to excellence.
Design and maintain scalable data pipelines for ingestion, transformation, and delivery into data warehouses, feature stores, and ML/AI systems.
Build workflows for processing unstructured data and develop semantic representations to enable advanced search, retrieval, and LLM-powered applications.
Collaborate with stakeholders to translate business requirements into scalable data and ML solutions.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They use technology to review applications and share top-fitting candidates directly with employers, ensuring a fair and efficient hiring process.
Design, build, and maintain scalable data and ML pipelines for analytics and AI systems.
Build and optimize workflows for structured and unstructured data, enabling semantic search and RAG use cases.
Manage and optimize vector databases and indexing strategies for efficient retrieval and AI-powered search.
This is a partner company seeking a Data & Machine Learning Engineer based in Brazil. They operate in a highly technical and global environment with strong emphasis on scalability, performance, and innovation.
Lead the strategic vision and execution of a unified data organization spanning Data Engineering, Data Science, AI, and Business Intelligence.
Shape scalable data platforms, drive AI innovation, and build high-performing teams that transform complex data into measurable business value.
Define technical roadmaps, establish best practices, and collaborate with senior stakeholders to support business growth.
Our partner is a company looking for a Head of Data & AI based in Germany. The size and culture are not specified, but the role is in a fast-paced, innovation-driven environment with a focus on data and AI.
Lead data initiatives using machine learning and AI to optimize ad delivery and platform performance.
Design, build, and maintain scalable AWS data pipelines for ML tooling and high-velocity ad systems.
Productionize forecasting and optimization models with robust backtesting, monitoring, and guardrail systems.
AdsByNimbus is a leader in Publisher-first mobile AdTech. The team is lean, highly capable, and deeply collaborative, offering high levels of project ownership and autonomy.
Develop tools and applications in Python for data processing, analysis, and forecasting.
Design and optimize Python/Snowflake-based data pipelines for ingesting, cleaning, and transforming data.
Collaborate with global technical and analyst teams to gather requirements and build innovative analytical solutions.
IDC provides trusted technology intelligence for business and technology leaders. With over 1,000 analysts globally, the company fosters a culture of rigor, integrity, and shared success.
Own ML models across their full lifecycle from data pipelines to deployment and monitoring, ensuring reliable performance.
Run and improve the ML platform including GitOps CI/CD, monitoring serving endpoints, and defining SLOs.
Collaborate with risk, operational, and product teams to turn ML into business value across the organization.
Alma provides installment and deferred payment solutions to help merchants boost sales and customer loyalty, without encouraging bad debt. With over 25,000 merchants, 10 million consumers, 380+ employees, and over €100M ARR, they are a Next40 member scaling rapidly across Europe.
Architect and scale data systems for analytics, ML/AI products, reporting, and APIs.
Own the full data lifecycle including ingestion, transformation, modeling, validation, and serving.
Partner with Data Science to productionize models and build reliable data foundations for AI-driven products.
Vidmob is the creative data company that provides scoring software and analytics to help marketers and agencies drive business results through improved creative effectiveness. They partner with top marketers and agencies worldwide and operate the industry's most robustly instrumented human-reinforcement learning model for creativity.
Design and build scalable data pipelines, clean room environments, and privacy-safe integrations for NBCUniversal’s data collaboration ecosystem.
Implement identity resolution logic and configure secure, role-based access controls across data platforms.
Optimize query performance and operational reliability, including monitoring, cost tracking, and incident response.
NBCUniversal is one of the world's leading media and entertainment companies, creating and distributing content across film, television, and streaming. A subsidiary of Comcast Corporation, it champions an inclusive culture and has a rich tradition of community service.
Build and operate the real-time inference service for the risk decision engine with low latency and high availability.
Own model deployment infrastructure including CI/CD, shadow mode, and staged rollouts.
Build model observability and partner with Risk Data Science for production operation.
Mercury is a fintech company that provides banking services for startups via partner banks. The company is committed to creating a safe environment and values diversity, with a growing team focused on innovation.
Own the ML serving API and deploy models to production with CI/CD and infrastructure as code.
Build monitoring, alerting, and reliability for NBA models and LLM agents.
Drive architectural decisions and mentor engineers on MLOps patterns.
Clutch is a vertical SaaS company backed by Andreessen Horowitz, revolutionizing how credit unions engage with members via fintech lending software. The company is small and ambitious, with a lean data team of five that values pragmatism and fast shipping.
Architect and optimize Snowflake architecture for enterprise scalability and future data product commercialization.
Drive agentic engineering using tools like Snowflake Cortex, Cursor, and UiPath to automate workflows and deploy AI agents.
Establish data observability frameworks and operationalize MLOps pipelines for robust ML model lifecycle management.
Versapay automates accounts receivable, removing barriers to collecting and reconciling B2B payments. With over 10,000 customers and 5M+ companies transacting on the platform, they process over 110M transactions and $257B annually.
Design, build, and maintain scalable machine learning infrastructure on AWS, including training and deployment pipelines.
Develop and deploy ML models for recommendation systems, fraud detection, credit risk, and personalization use cases.
Implement monitoring, logging, and alerting systems to ensure model performance, stability, and reliability in production.
Our partner is a fast-growing, innovation-driven company where machine learning and AI systems directly power large-scale fintech and commerce experiences. They foster a highly dynamic environment with strong emphasis on experimentation, rapid iteration, and measurable business impact.
Build, ship, and own product features end-to-end using cutting-edge AI/ML techniques.
Apply classical ML and LLM-based approaches like RAG, prompt engineering, and fine-tuning to enhance the audit and risk platform.
Collaborate with cross-functional teams in an Agile environment to deliver scalable, production-quality code.
Optro is a leading audit, risk, ESG, and InfoSec platform trusted by over 50% of the Fortune 500. The company has been named one of the 500 fastest-growing tech companies in North America for seven consecutive years, fostering a culture of innovation and collaboration.
Lead the design, development, and deployment of enterprise-scale AI and data solutions using AWS and Snowflake.
Architect and implement large language models and agentic AI workflows for business automation and decision support.
Collaborate with cross-functional teams to ensure solutions meet regulatory, security, and compliance requirements in financial services.
U.S. Financial Technology operates the largest and most advanced mortgage securitization platform globally, supporting the Uniform Mortgage-Backed Security of Fannie Mae and Freddie Mac. The company supports 70% of the mortgage-backed securities market and offers a full lifecycle of services with a focus on cloud-based technology and innovation.