Build and continuously improve cutting-edge Machine Learning models for query understanding, including autocomplete, query tagging, and intent modeling.
Develop natural-language search experiences powered by modern NLP and LLMs, working on smart compose, query expansion, and user-intent sequence modeling.
Collaborate with cross-functional teams and productionize ML models at scale, leveraging third-party and in-house tools.
Airbnb is a global online marketplace for lodging and travel experiences, founded in 2007. It has over 5 million hosts and has welcomed over 2 billion guest arrivals, fostering a culture of belonging and inclusion.
Manage the program portfolio covering ML inference, efficiency, serving, and endpoints to scale infrastructure for a growing user base.
Lead cross-functional collaboration with modeling and customer-facing teams to coordinate execution across programs.
Establish processes to improve engineering best practices, incident management, and prioritization to meet company priorities.
Cohere is a security-first enterprise AI company building cutting-edge foundation models and end-to-end products for real-world business problems. It is a global team of researchers, engineers, and designers with offices in Toronto, San Francisco, London, and more, fostering a culture of passion and continuous improvement.
Set technical direction for the personalization platform, building an autonomous, agent-assisted future.
Build the intelligence layer combining LLM and classic ML to personalize marketing at scale.
Own high-leverage problems like reliable high-volume sending, experimentation, and data quality.
Owner is an AI-native system that helps local business owners succeed, starting with restaurants. It powers everything from website, online ordering, CRM, and POS; the team is in the low hundreds with talent from top SMB software companies.
Envision and build scalable backend architecture and AI applications for guest-host communication.
Collaborate cross-functionally with design, product, and data science teams.
Mentor engineers and lead technical strategy for high-impact systems.
Airbnb connects hosts and guests globally, with over 5 million hosts and 2 billion guest arrivals. The company fosters inclusion and belonging, with a focus on diverse ideas and innovation.
Build ML infrastructure for low-latency model deployment, distributed inference pipelines, and real-time telemetry.
Scale ranking systems by moving models from experimentation to production, optimizing latency and cost trade-offs.
Implement model CI/CD for automated versioning, canary releases, hot-swappable container rollouts, and zero-downtime rollbacks.
Sequen provides an integrated platform that pairs cutting-edge frontier ranking models with infrastructure to run them in production at sub-10ms latency and enterprise scale. They are a small, highly technical, early-stage team focused on turning recent AI advances into production-grade systems.
Lead and manage a high-performing agile software team building AI-powered revenue intelligence solutions for the hospitality industry.
Actively contribute to the codebase, conduct code reviews, and mentor developers to deliver high-quality software.
Drive process optimization, automation, and best practices to enhance team productivity and scalability.
Cloudbeds builds an intelligent hospitality platform that powers properties across 150 countries, processing billions in bookings annually. With over 650 employees across 40+ countries, they foster a remote-first culture of innovation and inclusion.
Design and maintain scalable ML infrastructure including data pipelines, training workflows, and model deployment systems.
Own end-to-end ML lifecycle operations, ensuring reliable delivery of models into production at scale.
Implement monitoring, telemetry, and feedback loops for ML models running across large-scale device fleets.
Our partner company develops ML systems for connected hardware products used by customers worldwide. They operate in a fast-paced, product-driven environment with a collaborative and technically ambitious culture focused on real-world ML impact.
Lead strategic Professional Services engagements, guiding customers through AI-powered software delivery and feature management implementations.
Partner with customers to design and implement safe rollout patterns for AI, including progressive exposure and experimentation directly in their codebase.
Act as a trusted advisor, building reference implementations and integrating LaunchDarkly into AI architectures to ensure safe, observed, and optimized releases.
LaunchDarkly provides a feature management platform that enables developers to release software safely and efficiently. The company is rapidly growing, with a culture that values humility, collaboration, and respect.
Design, build, and maintain backend services, REST APIs, databases, and big data pipelines that power customer-facing insights and analytics.
Implement and maintain near-real-time stream-based data processing pipelines in collaboration with batch-oriented data refresh workflows.
Scale data processing and insights generation pipelines to handle growing volumes of activity data while managing infrastructure costs.
Backstory helps companies understand the state of their revenue business by answering questions that span customer interactions, sales activity, pipeline health, and deal execution. Headquartered in San Francisco, CA, Backstory is backed by Y Combinator and top investors, and is listed in the top 20 percent of Inc 5000 companies.
Lead architecture and delivery of distributed cloud-native applications for high concurrency and real-time data needs.
Design production-grade data pipelines and integrate ML/GenAI capabilities, including RAG and model serving.
Mentor peers, set engineering standards, and evolve legacy systems into microservices for scale.
Outreach, founded in 2014, is a complete agentic AI platform for revenue teams, powering use cases across sales motions with AI automation. The company serves world-leading enterprises like Databricks, SAP, and Siemens, and promotes diversity through employee resource groups.
Build and maintain backend services, Python libraries, and model lifecycle tooling for internal ML teams.
Design and operate distributed systems for model serving, evaluation, and feature engineering.
Focus on developer experience and reliability to help teams train, deploy, and serve ML models safely.
Monzo is on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and more through a modern digital banking platform. With around 600 engineers out of roughly 5,000 employees, we value flexibility, collaboration, and open source contributions.
Develop and refine features for deep learning models using large-scale customer and behavioral datasets.
Implement model architecture changes informed by recent academic research from venues like NeurIPS.
Optimize model training pipelines for efficiency and scalability while collaborating with client teams.
OpenTeams builds AI that empowers, offering energy-efficient and cost-effective models with a commitment to open source. The company values freedom, teamwork, accountability, and quality, and reinvests 3% of profits into the open-source community.
Drive migration of legacy Hadoop/Spark/Impala data pipelines to a modern Databricks-centric stack.
Design and build scalable Airflow DAGs and Databricks Jobs for large-scale data pipelines.
Implement robust validation strategies to ensure data parity and quality between legacy and modern systems.
LivePerson is a leader in trusted enterprise conversational AI and digital transformation. Named the #1 Most Innovative AI Company by Fast Company, we power nearly a billion conversational interactions every month for top global brands.
Design and develop backend systems using Python or Kotlin for the ML Feature Platform.
Build and maintain a self-serve platform for feature creation, exploration, and serving for machine learning and decisioning.
Own end-to-end flows including data storage, availability, backfilling infrastructure, and platform improvements.
Affirm is reinventing credit to make it more honest and friendly, offering buy now, pay later solutions without hidden fees or compounding interest. The company is remote-first with a focus on reliability and performance, and it emphasizes a people-first culture.
Architect and build AI-native products for enterprise service operations.
Lead technical direction and design scalable distributed systems.
Mentor engineers and drive engineering excellence across teams.
ServiceNow is the AI control tower for business reinvention, helping 85% of the Fortune 500 work smarter, faster, and better. The company fosters an AI-native culture where technology and talent are unstoppable together.
Design and architect AI capabilities on a cutting-edge iPaaS platform, working with technologies like LLM, RAG, Azure AI, and AWS Bedrock.
Build robust, scalable AI systems that run 24/7/365, collaborating with engineers, product management, and operations.
Mentor team members, use data-driven decision-making, and stay current with emerging AI and cloud computing trends.
Jitterbit is a leading data, application, and process workflow automation solution, rooted in iPaaS and fueled by an ambitious vision to integrate critical business processes. The company empowers enterprises of all sizes to accelerate their digital journey and is recognized in Gartner MQ for seven straight years, with a distributed, fun, fast-paced, and performance-oriented culture.
Lead the design and delivery of SaaS products powered by data, ML, and AI.
Own architecture and technical direction for key product areas in a multi-tenant platform.
Mentor engineers and collaborate across teams to raise engineering standards.
Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving MSPs and internal IT organizations worldwide. Founded in 2000, Kaseya supports customers in more than 20 countries and manages over 15 million endpoints, with a culture centered around innovation and accountability.
Lead a high-calibre ML team to shape Borrowing's ML roadmap across UK growth, new customer segments, and EU expansion.
Improve underwriting, pricing, limits, and lifecycle decisioning through faster model iteration and new data sources.
Partner with leaders across Credit Strategy, Product, Engineering, and Data to drive commercial impact and long-term strategic advantage.
Monzo is on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and pensions. As a rapidly growing fintech with a strong UK presence, we foster an inclusive culture focused on innovation and customer delight.
Build and ship ML models to help customers search and find answers about their financial lives.
Develop user and product embeddings, contextual bandits, and personalized ranking algorithms.
Work with a modern cloud-native data platform to deploy models to millions of customers.
Monzo is on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and pensions with a focus on solving problems and changing lives. With over 15 million customers and a culture of innovation, Monzo prioritizes diversity and inclusion.
Design and deploy ML-based anomaly detection pipelines to flag data discrepancies early in the ETL process.
Build AI-assisted field mapping and classification tooling to accelerate schema mapping across data conversion cycles.
Develop automated data quality scoring pipelines and maintain lightweight AI tooling for staff to operate and extend.
Derex Technologies Inc specializes in providing IT consulting, staffing solutions and software services. Since 1996, the company has delivered customized IT talent solutions to global clients across North America, serving industries like finance, healthcare, and government.