Lead the ML strategy and architecture for Shopping Ads delivery across targeting, retrieval, ranking, conversion, and value optimization.
Own end-to-end model development from opportunity sizing to monitoring and iteration.
Drive complex initiatives requiring coordinated changes across multiple teams.
Reddit is a community of communities built on shared interests, passion, and trust, hosting open and authentic conversations. With 100,000+ active communities and 130 million daily active users, it is one of the internet's largest information sources.
Lead the evolution of personalized recommendation systems using machine learning.
Build, deploy, and optimize machine learning models in production.
Collaborate with cross-functional teams to deliver AI-driven experiences.
The company builds advanced machine learning solutions to improve user discovery and engagement. It operates as a fully remote global team with a focus on collaboration and innovation.
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.
Design, build, and operate large-scale ML solutions for ad delivery performance.
Collaborate with cross-functional teams to deploy models into production.
Mentor peers and contribute to ML best practices and AI-native development.
The company is a technology firm focused on AI-driven advertising solutions. It operates in a remote-first environment with a collaborative and inclusive culture.
Design, implement, and refine machine learning models to deliver personalized recommendations.
Lead the design of online and offline experiments to validate model performance and make data-driven decisions.
Work closely with product and engineering teams to deploy new recommendation features and drive alignment across teams.
Canva is redefining how the world experiences design by providing a platform for creating stunning visual content. With over 200 million monthly users and a culture of flexibility and innovation, the team is committed to empowering creativity and collaboration.
Own and improve the machine learning models and systems powering the Home feed and Shortcuts experience.
Design and build personalized recommendations serving millions of Spotify listeners globally.
Train, fine-tune, and optimize large language models using techniques like SFT and distillation.
Spotify is a leading audio streaming platform that delivers personalized music and podcast experiences to millions of listeners globally. The Personalization team is a large, collaborative group behind iconic features like Discover Weekly, with a culture of innovation and user-centricity.
Define the multi-quarter vision and strategy across Machine Learning & Recall and Query teams.
Drive query intelligence and advance recall systems to improve search-attributed conversion and revenue.
Build evaluation frameworks and optimize ML performance trade-offs for low-latency production.
Constructor provides product search and discovery solutions for large retailers, serving billions of requests weekly. The company is a remote-first, growing team of technologists that values empathy, openness, and continuous improvement.
Partner with product managers and engineers to measure results and deliver insights across the product lifecycle.
Identify key metrics and track progress on high-priority initiatives including new AI product launches.
Develop analytics frameworks for A/B tests and present findings to stakeholders.
We build innovative Data Products and Machine Learning solutions to help companies solve complex business challenges. We are a fast-growing, remote-first startup passionate about technology, collaboration, and continuous learning.
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.
Build the data and model layer for an AI-enabled decision-support system, including ingestion, record matching, scoring, and generation.
Implement probabilistic matching, calibration, and retrieval-augmented generation in a controlled environment.
Ensure traceability, audit trails, and documentation for all data and model outputs.
DEFCON AI leverages AI, mathematical optimization, and data analytics for resilient optimization of complex systems. The team operates in a fully remote, results-based environment with a focus on innovation and collaboration.
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.
Independently own high-value optimization initiatives across training, inference, or launch-readiness for important Ads ML workloads.
Diagnose bottlenecks in real production systems using profiling, benchmarking, and observability.
Build performance tooling, optimization playbooks, and efficiency primitives that benefit multiple teams.
Reddit is a community of communities built on shared interests and authentic conversations. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit has a flexible workforce and values collaboration.
Own the first recommendation features, surfacing relevant connections and opportunities via collaborative filtering and ML.
Handle sparse data and cold-start, keeping recommendations subtle and trustworthy for finance users.
Own evaluation with offline metrics and online experiments, partnering with backend engineering on serving.
Termgrid builds the operating system for private capital markets, helping deal professionals manage financing workflows. Founded in 2019, the company is trusted by 4 of the top 5 global private equity firms, with 1,600+ institutions and 30,000+ professionals using the platform.
Design and maintain ML model productionization infrastructure for high-visibility product features.
Collaborate with data science to streamline model training, validation, and deployment.
Implement robust monitoring and alerting for model performance, drift, and data quality.
The Athletic is a sports media company powered by one of the largest global newsrooms in sports, delivering in-depth coverage of professional and college teams across North America and Europe. With over 500 full-time staff, they foster a collaborative culture focused on high-quality journalism and data-driven innovation.
Own end-to-end delivery quality for major engagements, translating ambiguous client needs into practical execution plans.
Lead solution architecture and technical decision-making, making pragmatic tradeoffs between speed, quality, and client value.
Build and ship production AI/ML systems using Python, ML frameworks, and cloud-native infrastructure while mentoring other engineers.
Eliza is a technology services company and Advanced-tier OpenAI partner that helps organizations build and deploy AI solutions, from generative AI to predictive analytics. They are a collaborative, mission-driven team focused on real-world AI impact.
Develop, maintain, and optimize weekly and monthly marketing performance reports to support decision-making.
Monitor KPIs for products and campaigns, identifying deviations and investigating root causes.
Collect, integrate, and analyze data from multiple sources to create clear visualizations and actionable recommendations.
The company is a partner organization seeking a Marketing Analyst. It offers a remote-first, collaborative environment with opportunities for professional growth and continuous learning.
Developing, filling out and optimizing weekly and monthly marketing reports.
Daily monitoring of key business performance indicators of products and advertising campaigns, and searching for and explaining reasons for deviations.
Integrating data from different sources and visualizing them for analysis.
Social Discovery Group is a group of social discovery companies that solves loneliness, isolation, and disconnection by transforming virtual intimacy into the new normal. They have an international team of digital nomads and are a two-time 'Great Place to Work' winner (USA & Japan, 2024–2025).
Develop, train, and evaluate machine learning models to support product objectives.
Prepare, clean, and analyze datasets for model training and validation.
Deploy, monitor, and improve machine learning models in production environments.
The partner company develops AI-powered products to solve real-world challenges. They offer a fully remote, flexible work environment with a focus on innovation and collaboration.
Transform complex product and user data into actionable insights to drive business growth and enhance customer experiences.
Work at the intersection of analytics, product management, and business strategy to optimize product performance across digital platforms.
Collaborate with cross-functional teams to evaluate new features, improve user journeys, and identify opportunities for increased engagement and revenue.
Our partner is a digital product company that leverages data to drive growth. They offer a fully remote, fast-paced environment with a collaborative international team and a strong focus on innovation and continuous learning.
Build and evolve a personalized recommendation system for Grafana's Interactive Learning tool.
Develop, validate, and operate applied models, owning model training, serving, and monitoring.
Partner with software engineers and data analysts to productionize models and ship incremental improvements.
Grafana Labs is the company behind the open observability cloud, providing a flexible and scalable managed platform for monitoring and analytics. With over 1,600 team members across 40+ countries, the company fosters a global, collaborative, and innovation-driven culture.