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.
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.
Understand customer's AI strategy and business critical challenges, finding the best problem-solution fit.
Support customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations.
Execute business-critical Proof-of-Value projects, including architecture and deliver secure, scalable systems.
Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, they are changemakers pushing the boundaries of what’s possible and invest heavily in advanced AI capabilities.
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.
Develop AI systems that automate dispute and chargeback handling using structured evidence and business logic, creating a better experience for our customers.
Build models that automate refunds, getting money back to our customers faster.
Build and maintain evidence extraction pipelines that process unstructured data using LLM-powered workflows to produce structured, actionable outputs.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. They are a remote-first company with competitive benefits and focus on an inclusive interview experience.
Design, develop, test, and deploy AI/ML models and applications including NLP pipelines, predictive models, recommendation engines, and intelligent automation workflows.
Build and integrate large language model (LLM) powered features using APIs such as OpenAI, Azure OpenAI, or Anthropic; implement retrieval-augmented generation (RAG) patterns and AI agent workflows.
Develop and maintain data pipelines that support model training, fine-tuning, evaluation, and real-time or batch inference.
ExtensisHR is a Professional Employer Organization (PEO) in the U.S. with client employees in all fifty states. They deliver personalized HR services for HR, employee benefits, payroll and taxes, employer risk, compliance, and employee management.
Set the technical strategy for your team, and help your engineers tie it together with critical, business-impacting projects.
Act as a force-multiplier through your definition and advocacy of technical solutions and operational processes.
Collaborate across teams in the product development lifecycle by partnering with product management, design & analytics to manage technical sustainability and risks.
Affirm is a financial technology company that reinvents credit to offer consumers honest and flexible buy-now-pay-later options without hidden fees. As a remote-first company, Affirm fosters a collaborative culture where people come first, offering competitive benefits and anchoring its operations in the United States.
Diagnose business problems before building solutions, mapping workflows and confirming AI is the right intervention.
Own AI initiatives end-to-end, from stakeholder discovery and technical design through implementation and iteration.
Improve organizational flow by building solutions that reduce bottlenecks and increase throughput, measuring success using flow metrics.
GitLab is the intelligent orchestration platform for DevSecOps, enabling organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. GitLab has more than 50 million registered users and a high-performance culture driven by its values and continuous knowledge exchange.
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.
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.
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.
Design, implement, and deploy ML/AI models end-to-end, from concept through production, including data pipelines, training workflows, and optimization.
Maintain and evolve AI systems in production, monitoring for drift, debugging issues, and driving ongoing improvements to reliability and scalability.
Partner closely with product, engineering, and data teams to align AI work with broader product and business goals.
Robots & Pencils is an applied AI engineering firm that designs and ships AI co-workers integrating into operations and delivering results for clients. Founded in 2009, they have delivery centers in Canada, the United States, Eastern Europe, and Latin America, with teams averaging 15+ years of experience.
Design, build, and ship agentic systems that ground personalized listening experiences in cultural context and world knowledge.
Develop and maintain pipelines for extracting, structuring, and serving cultural signals at scale, leveraging LLMs and agentic workflows.
Partner closely with teams across Personalization to integrate foundational cultural data and tech into new agentic listening experiences.
Spotify's Personalization team enhances the listening experience by creating features like Blend and Discover Weekly, using Generative AI to personalize music and podcast recommendations. The AI Foundation team, with around 100 AI/ML Engineers, Applied Research Scientists, Product Managers, and domain experts, builds the foundational data and tech for these personalized experiences.
Operate at the frontier of applied AI as a hands-on practitioner.
Design, implement, and deploy advanced predictive models that drive core business outcomes.
Analyze large-scale datasets to identify patterns, trends, and optimization opportunities.
Sovrn is a software and data business that helps open web businesses be and remain independent. Through software products and data solutions they help their customers understand their business better, operate more efficiently, and make & keep more money.
Act as a trusted advisor to customers, building relationships with technical and business stakeholders.
Advise on GenAI and ML best practices, giving product demos to technical and business stakeholders.
Partner with product and engineering teams to drive the product roadmap and spearhead new opportunities within existing accounts.
Arize AI is transforming the world by helping teams monitor, troubleshoot, and optimize their AI systems with its AI & Agent Engineering observability and evaluation platform. They are a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base.
Prototype and productionize LLM-enabled applications
Develop scalable analytics and decision-support systems
HealthCare.com is one of America's fastest-growing insurtechs. They've combined advanced technology and data science to build smarter, more personalized health insurance products. They've helped millions of Americans find the right plan, raised over $200M, and built proprietary technology.
Own the model lifecycle: requirements, experimentation, model development, evaluation.
Translate complex fraud patterns into well-framed ML solutions: defining what to model, what success looks like.
Monitor model quality in production, tracking performance over time, detecting data drift, and determining when to retrain.
Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions. They work with more than 1,000 leading merchant partners across industries and are backed by some of the most prominent technology investors in the industry.
Build 0-1 AI systems transforming core brokering workflows, from processing complex commercial policies to enabling brokers to manage renewals simultaneously.
Embed directly with brokering teams, underwriters, and operations to identify automation opportunities, building solutions side-by-side with users.
Ship production-ready AI features delivering measurable impact, reducing quote turnaround time and increasing broker capacity through intelligent market matching.
Newfront, a WTW company, creates agentic services that handle routine insurance work, freeing brokers for high-stakes strategy. They deploy autonomous systems for placement, AI analysis, and workflow orchestration in small, specialized teams embedded with the business.
Define, drive, design, and build/ship end-to-end solutions that solve real customer problems.
Contribute to the end-to-end AI/ML software development lifecycle, ensuring reproducible research.
Drive architecture, design, and delivery of advanced ML systems in the Product R&D team.
Kinaxis is a global leader in modern supply chain orchestration. Known for its AI-infused platform and transparency across end-to-end supply chains, Kinaxis helps customers make faster, better decisions. The company has over 2000 employees worldwide and is recognized with Top Employer awards.
Design, implement, and maintain reliable, scalable, and secure infrastructure, applications, and tooling, with a focus on our ML/AI pipelines and workloads
Write clean, maintainable code, and perform peer code-reviews
Write clear and concise documentation and engage in cross-team communication and knowledge sharing
Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. The company utilizes AI-based robotics and software to assemble AI infrastructure hardware products for hyperscalers and leading OEMs, employing under 500 employees, with a culture rooted in innovation and expertise.
Embed in each function and learn how work moves to automate helpful workflows for each department.
Configure and deploy the End User Workbench for each function supported to the team's specific processes.
Evaluate AI-native vendor solutions and make honest build-versus-buy recommendations.
Life360's mission is to keep people close to the ones they love by offering a range of services, including location sharing and safe driver reports. They are a remote-first company with more than 500 employees and continue to innovate and deliver for their customers and have become a household name.