Design, build, and maintain distributed data pipelines that power Spotify Wrapped data stories and personalized experiences for more than 300M users globally.
Partner with Data Scientists to evaluate and operationalize new Wrapped story concepts, balancing personalization, scalability, and eligibility requirements.
Build scalable systems that process large-scale listening data and generate insights that celebrate users’ unique listening journeys.
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. They are behind some of Spotify’s most-loved features. Join them and you’ll keep millions of users listening by making great recommendations to each and every one of them.
Design and ship agentic systems and multi-step LLM workflows using Claude, OpenAI, or equivalent - including tool use, memory, structured output extraction, and failure handling.
Build and maintain MCP integrations connecting internal tools, portco systems, and external data sources into reliable, observable pipelines.
Write production-grade Python for data pipelines, integration scripts, and scheduled jobs running via BullMQ-backed queues on the Node/TypeScript stack.
Emergence is a PE holdco backed by the Pritzker Organization focused on acquiring and scaling B2B SaaS businesses. It combines operational rigor with a growth equity mindset to drive ARR growth and profitability across its portfolio.
Design, build, and own core components of the agent platform, from the orchestration layer to the tool integrations connecting it to internal systems.
Build and evolve the capabilities layer: APIs, data access patterns, and service integrations for agents to execute operational workflows.
Architect the knowledge and memory infrastructure, allowing agents to retrieve the data and act across our systems.
Justworks helps businesses get off the ground by enabling them to focus on running their business and solves HR issues. The company embraces a supportive, entrepreneurial environment where employees are encouraged to build something meaningful and have fun.
Design and build systems, manage scalable ML pipelines using Vertex AI Pipelines for training, evaluation and deployment to support ranking, retrieval, and recommendation personalization use cases
Develop and maintain data pipelines that support feature generation, model training, and analytics workflows. Own vector generation via Milvus, storage, and retrieval workflows
Implement model serving solutions using KServe and build APIs using FastAPI for low latency inference Build observability and monitoring for models and pipelines.
People Inc. is America’s largest digital and print publisher. Our 40+ iconic and fast-growing brands harness the best intent-driven content, the fastest sites, and the fewest ads to help nearly 200 million people every month.
Design, build, and ship LLM-powered features and agentic workflows for Gametime users.
Build and maintain evaluation frameworks and prompt testing pipelines for AI-powered experiences.
Contribute to orchestration layer, including agent routing, tool use, and multi-step workflow coordination.
Gametime helps people connect through shared live experiences. They operate platforms on iOS, Android, mobile web, and desktop, supporting over 60,000 events across the US and Canada, fostering a collaborative and inclusive environment where diverse perspectives are valued.
Owns the technical direction for large-scale machine learning models, guiding the development of advanced deep learning architectures and high-impact ML systems.
Partners with leadership to define ML roadmaps, drive innovation in scalable model design and training approaches.
Ensures efficient, reliable deployment of ML models in production and mentors the team’s technical capabilities.
Reddit is a community-driven platform where users submit, vote, and comment on topics of interest. With over 100,000 active communities and approximately 126 million daily active unique visitors, it is one of the internet’s largest sources of information.
Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
Speechify's mission is to make sure that reading is never a barrier to learning by offering text-to-speech products. They are a fully distributed company with nearly 200 employees around the globe, including engineers and scientists from top companies and programs.
Design, build, and ship agentic workflows across multiple domains.
Build multi-step agents capable of autonomous planning, context tracking, memory, tool use, and API orchestration.
Drive technical and architectural decisions to meet product requirements while also anticipating and designing for future needs
Cority helps customers see and prevent risks across their operations in real time. Our EHS+ platform converges people, data, and AI agents to provide a clear view of information people can trust. For 40 years, Cority has been the market leader in EHS+, recognized by top analysts and trusted by more than 1,500 of the most complex organizations worldwide.
Design pragmatic solutions for real problems, assessing each use case and selecting the right approach.
Rapid prototyping and iterative delivery, shipping functional prototypes within days and validating value with real users.
Build agentic AI systems where justified, designing and implementing multi-agent architectures and LLM-based tooling.
Zinier empowers frontline workers to achieve greater things. They are a remote-first, global team headquartered in Silicon Valley with a hybrid workforce across the United States, Canada, Europe, Latin America, Singapore, and Bangalore, India.
Collaborate with engineering and cross-functional teams to translate business problems into an ML product roadmap.
Contribute hands-on technical expertise as a player-coach, providing strategic direction and mentorship to the team.
Establish an engineering setup enabling rapid iteration, experimentation, and deployment of models, fostering operational excellence.
Twilio is shaping the future of communications by delivering innovative solutions to hundreds of thousands of businesses. They empower millions of developers worldwide to craft personalized customer experiences, emphasizing a remote-first culture with a vibrant and globally inclusive team.
Own the full ML lifecycle, taking projects from ideation to production, including feature engineering, model selection, deployment, and model observability and evaluation.
Translate business needs into ML solutions, gathering product requirements and translating them into robust ML system design requirements.
Build recommendation and ranking systems, architecting and launching ranking and recommendation infrastructure from scratch, initially via integrated off-the-shelf models, and evolving to targeted and customized solutions in the long term.
Affinity's Relationship Intelligence platform empowers dealmakers to find, manage, and close more deals. It has more than 3,000 customers worldwide and is backed by Silicon Valley firms, with $120M raised, also receiving Inc. and Fortune Best Workplaces awards.
Design and ship production AI features end-to-end across LangGraph / LiteLLM / pgvector / Langfuse.
Drive technical architecture for the AI product line: LLM orchestration, evals, observability, latency / cost / reliability tradeoffs.
Own AI initiatives technically — from spec through production, including rollout and post-launch eval improvements.
airSlate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions. They have over hundreds of millions of users and more than one million customers worldwide, helping organizations of every size digitize processes, improve efficiency, and transform how they work.
Design and build AI systems in production that solve real business problems, end-to-end: from discovery to operation.
Work with product and operations to translate ambiguous problems into measurable and maintainable solutions.
Build data pipelines that feed models and product surfaces.
Skydropx is innovating logistics with a team of visionary people who want to grow and change the world. They are integrating AI into their logistics platform for LATAM, working at a multi-tenant scale with hundreds of thousands of shipments per month.
Translate product vision into production-ready code, working closely with Product Managers to turn business goals into actionable plans.
Help drive the transition to a self-service model, ensuring infrastructure remains performant across new global regions as the team and technology scales.
Take end-to-end ownership of service health, including participating in design docs and implementing robust monitoring/alerting.
Addepar is a global data and AI platform that empowers investment professionals to turn complex financial information into actionable intelligence. More than 1,400 firms manage and advise on nearly $9 trillion in assets, and we strive to promote a welcoming environment, and inclusion and belonging are held as a shared responsibility.
Design and develop data pipelines, scoring algorithms, and API infrastructure to power AI-driven matching and recommendation capabilities.
Build and maintain integrations between the matching engine and an existing program management platform.
Collaborate with SMEs to build, test, and refine user-configurable matching logic.
LMI is dedicated to accelerating government impact with innovation and speed, bringing commercial-grade platforms and mission-ready AI to federal agencies. Headquartered in Tysons, Virginia, they are committed to delivering impactful results that strengthen missions and drive lasting value.
Contribute to the design, development and implementation of VoIP infrastructure, telephony platforms, and observability features that power AI-driven voice workloads
Collaborate with engineering, Product, and infrastructure teams to ensure our voice and AI platforms perform efficiently, scale reliably, and integrate seamlessly across SIP/RTP, Kamailio, RTPEngine, and related telecom systems.
Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.).
ServiceNow is the AI control tower for business reinvention. Their AI platform brings together any AI, any data, and any workflow helping 85% of the Fortune 500 work smarter, faster, and better. They're building an AI-native culture where technology and talent are unstoppable together.
Design and deliver production AI and agentic systems across document intelligence, workflow automation, and copilots.
Define architecture decisions for LLM-based systems, including retrieval, tool use, orchestration, memory, and evaluation.
Own evals and observability for production AI and manage cost and latency at production volume.
Maxwell is a mortgage technology and fulfillment company with a mission to make lending simpler, faster, and more accessible. They power hundreds of lending institutions with their mortgage Point of Sale and related capabilities and are a remote-first team that takes craft seriously.
Empower ML Engineers with the tools, infrastructure, and frameworks they need to iterate fast autonomously.
Accelerate time-to-market for production-ready ML products with seamless integration and access to data and resources.
Own ML CI/CD in close collaboration with the DevExp team, adapting existing frameworks to ML-specific needs.
Dailymotion is a video platform designed to broaden users' horizons with a unique algorithm. They foster inclusivity and aim to build a better and safer Internet with cutting-edge solutions for video hosting and advertising. With 400 employees in France, New York, and Singapore, Dailymotion is shaking up the global video platform ecosystem.
Lead AI strategy and execution, integrating AI into core products and accelerating development workflows.
Architect and build complex, scalable systems and AI-driven features using technologies like Python, Java, AWS, and GCP.
Provide technical leadership, mentorship, and cross-functional collaboration to solve complex problems and drive successful outcomes.
Tebra provides an all-in-one EHR+ platform designed exclusively for independent healthcare practices to connect EHR software, billing, automation, telehealth, and marketing. The company serves over 42,000 private practices and fosters a culture of entrepreneurship, customer focus, simplicity, teamwork, and celebration.