Partner with product, data science, and engineering teams to design, develop, and deploy machine learning and optimization solutions for ads delivery.
Train, deploy, and scale ML models as microservices, working with infrastructure engineers to integrate model outputs into ads systems.
Establish unified logging, alerting, and monitoring for model inference, system latency, data drift, and concept drift.
Life360's mission is to keep people close to the ones they love through a mobile app, Tile tracking devices, and Pet GPS tracker. The company serves approximately 97.8 million monthly active users across 180+ countries and has a remote-first culture with over 500 employees.
Design, build, and deploy production-grade machine learning and AI systems for customer-facing analytics and automation.
Develop and operationalize end-to-end ML workflows from data preparation to model monitoring.
Collaborate with Product and Engineering teams to identify high-impact use cases and deliver AI-powered data products.
Boulevard provides a client experience platform for appointment-based self-care businesses, empowering customers to give clients magical moments. The company values diversity, experimentation, and simplicity, and celebrates diverse backgrounds.
Develop AI-powered applications and workflows from idea to production, balancing quality, latency, reliability, and cost.
Integrate Large Language Models, APIs, RAG approaches, and automation into existing products and processes, learning from real user signals.
Build robust ML pipelines, collaborate with data scientists and engineers, and shape the technical direction for AI solutions.
Breuninger is a fashion and lifestyle company operating 13 department stores and online shops across multiple European countries. With 6,500 employees, the company fosters a friendly, open culture and values innovation in AI and data.
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.
Develop highly scalable and reliable data systems on AWS cloud platform for data-centric products.
Collaborate with Data Science teams to incorporate Machine Learning algorithms using Python and data engineering tools.
Lead and mentor team members, contribute to Agile cycles, and ensure timely delivery of documented software.
Experian is a global data and technology company that powers opportunities for people and businesses worldwide. With 22,500 employees across 32 countries, they foster a culture of innovation and data-driven solutions.
Design, build, deploy, and optimize machine learning models that process large volumes of complex, unstructured data.
Develop and maintain scalable ML pipelines capable of supporting millions of documents and diverse customer requirements.
Lead technical initiatives from early experimentation through production implementation and ongoing improvement.
The company develops intelligent automation solutions using AI and machine learning for large-scale document processing. It offers a highly autonomous engineering environment with a focus on continuous improvement and innovation.
Build end-to-end Machine Learning pipelines, including data preparation, code optimization, automated model training, and prediction workflows.
Provide technical leadership in MLOps processes, establishing best practices for development, deployment, and maintenance.
Design and implement cloud-based architectures for AI and data solutions using platforms such as GCP, AWS, or Azure.
A technology company specializing in data-driven solutions for consumers, leveraging AI and cloud technologies to transform data into insights. The company fosters a dynamic, innovation-driven culture with a remote-first approach, collaborating across multidisciplinary teams.
Design, build, and operate scalable Data & AI platform capabilities for analytics, data science, and Generative AI use cases.
Develop reusable frameworks, services, and workflows to standardize how teams build and manage data pipelines and data products.
Partner with Analytics, Applied-AI, and Engineering teams to deliver platform capabilities that support business and clinical decision-making.
Omada Health is on a mission to bend the curve of chronic disease by providing a virtual-first care model that combines human-led care teams, connected devices, and AI-enabled technology. They have served over two million members and are a publicly traded company with a culture of trust, context, boldness, results, and teamwork.
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.
Define the long-term data science strategy for ads measurement, signal quality, identity, and privacy, establishing how Reddit evaluates advertiser value.
Build trusted measurement and evaluation frameworks for lift, attribution, and privacy-aware measurement, guiding product and engineering investments.
Advance experimentation and causal inference at scale, mentor senior data scientists, and influence cross-functional strategy.
Reddit is a community of communities built on shared interests, passion, and trust. With 100,000+ active communities and approximately 126 million daily active unique visitors, it is one of the internet's largest sources of information.
Collaborate with data scientists and engineers to build scalable ML pipelines, troubleshoot infrastructure issues from Linux to Kubernetes, and optimize model performance.
Drive high engineering standards, design on-premises MLOps solutions, and maintain tools for deployment and monitoring.
Refine CI/CD workflows, incorporate ML model training and evaluation into testing, and ensure seamless handover between research and production.
Learneo is a platform of builder-driven businesses, including Course Hero, CliffsNotes, LitCharts, Quillbot, Symbolab, and Scribbr, focused on supercharging productivity and learning. The company supports high-growth businesses with centralized corporate operations and has a virtual-first culture with employees across multiple countries.
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.
Build and productionize ML-driven systems for personalization, search, and recommendation to drive business impact.
Utilize advanced algorithms and data mining to optimize product recommendations and improve conversion rates.
Develop AI/ML systems across search ranking, recommendation, and content intelligence to enhance user growth and outcomes.
Sporty is a remote-first company focused on delivering personalized and data-driven experiences in the gaming industry. They are a global team pursuing sustainability with a competitive salary and quarterly performance bonuses.
Lead product strategy for AI, ML, and data science platforms powering programmatic advertising solutions.
Oversee optimization, audience targeting, identity infrastructure, and data partnerships.
Drive innovation from research to scalable commercial products and mentor a high-performing PM team.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies through objective skills assessment. The company operates remotely with a small team, emphasizing efficiency and data-driven recruitment.
Develop scalable ML pipelines across the full lifecycle and champion responsible AI for content understanding models and signals in production.
Provide technical leadership and mentorship to ML engineers and software engineers, setting technical standards and conducting design reviews.
Build evaluation and quality monitoring systems for content understanding signals using state-of-the-art LLM-as-judge practices.
Reddit is a community of communities built on shared interests, passion, and trust, home to the most open and authentic conversations on the internet. With 100,000+ active communities and approximately 126 million daily active unique visitors, it is one of the internet's largest sources of information.
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.
Lead complex data science projects to measure impact and improve government services.
Apply AI/ML techniques and generative AI to enhance product delivery.
Collaborate cross-functionally to translate data insights into actionable improvements.
Code for America uses technology to improve government services for all people. They are a nonprofit with a collaborative, cross-functional team dedicated to transparency and fairness.
Define and drive the technical roadmap for personalization and recommender systems, prioritizing items to meet business goals.
Design and lead development of software used by multiple teams, ensuring maintainability, scalability, and adaptability.
Mentor senior and mid-level scientists, setting high code quality standards and best practices for the team.
Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom, and many other regions around the world. Our vibrant and diverse international community of nearly 300 publishing brands and imprints includes Ballantine Bantam Dell, Berkley, Clarkson Potter, Crown, DK, Doubleday, and many others.
Leverage data to design, develop, deploy and maintain scalable AI/ML systems and pipelines using Python, MLflow, Azure stack, and Databricks.
Partner with scientists and engineers to make AI/ML models accessible to end-users and downstream processes.
Run large-scale experiments and tests to ensure quality and efficiency of ML and data pipelines.
EcoVadis is the leading provider of business sustainability ratings, analyzing data to build scorecards for environmental, social and ethical risks. The company is backed by an international team of experts and powerful technology, with a culture focused on smart work, fun, and making an impact.
Build AI platform and production systems supporting computer vision, perception, simulation, and mapping products.
Own critical parts of the AI platform, including orchestration, APIs, and deployment patterns.
Partner with data scientists and simulation engineers to reduce iteration friction and design production architecture.
HERE Technologies is a location data and technology platform company that empowers customers to achieve better outcomes. The company is an equal opportunity employer with a focus on innovation and inclusion.