Design and build systems that improve the efficiency of ML training and inference workloads.
Develop tooling that helps ML engineers debug, profile, optimize, and monitor model performance.
Partner with ML researchers and product teams to identify bottlenecks and drive performance improvements.
Reddit is a community of communities built on shared interests, passion, and trust, hosting the most open and authentic conversations on the internet. With over 100,000 active communities and approximately 126 million daily active users, Reddit is one of the internet's largest sources of information.
Configure and implement Kinaxis Maestro product based on customer business requirements, ensuring high-quality solutions aligned with project timelines.
Translate complex supply chain problems into analytical/mathematical models and embed them into Maestro solutions.
Collaborate with domain experts in small POD teams to rapidly understand problems and deliver usable solutions.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains with an AI-infused platform. With over 2,000 employees worldwide and multiple Top Employer awards, the company fosters an innovative, customer-focused culture that emphasizes teamwork and growth.
Design and operate core AI platform components for training, deploying, and serving ML models at scale.
Own model serving and inference workflows end-to-end, optimizing for reliability, latency, throughput, and cost.
Collaborate with product, infrastructure, and security teams to build scalable platform capabilities for AI-powered features.
Mozilla Corporation is the non-profit-backed technology company behind Firefox and Pocket, with over 225 million monthly users. A wholly-owned subsidiary of the Mozilla Foundation, the company is mission-driven, employee-owned, and focused on privacy and open standards.
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.
Design, implement, and test production scheduling models, constraints, heuristics, and meta heuristics for enterprise-grade SaaS platforms.
Translate real-world manufacturing and scheduling constraints into robust computational models using Java, C++, or C#.
Collaborate across agile teams to deliver scalable, correct, and explainable scheduling solutions that impact global supply chains.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains with an AI-infused platform. With over 2000 employees worldwide and multiple top employer awards, the company fosters an inclusive culture focused on innovation and customer success.
Lead the development and enhancement of algorithms for LP, QP, MIP, and other mathematical programming problems.
Collaborate closely with a small team of highly skilled software developers on both independent and collaborative work.
Present new product features and capabilities at technical conferences and actively engage with product users.
Gurobi Optimization develops mathematical optimization software to help customers make smarter decisions. They are a dedicated, innovative team focused on solving complex business problems.
Develop and improve accurate and robust energy forecasting models and control algorithms.
Design, write, test, and deploy production-grade code for mission-critical forecasting products.
Translate large distributed energy datasets into actionable insights for utilities and stakeholders.
EnergyHub empowers utilities and their customers to create a clean, distributed energy future by turning smart devices into virtual power plants. The company offers a collaborative culture with a generous benefits package and is an Equal Opportunity Employer.
Own the technical design and delivery of subsystems in a high-throughput, low-latency inference platform.
Develop robust API layers and SDKs that abstract complex distributed inference orchestration.
Build and harden a multi-tenant control plane for metering, rate limiting, and tenant isolation.
Stack develops revolutionary AI and autonomous systems to enhance safety and efficiency in trucking. The team has decades of experience deploying real-world systems and is committed to inclusion, entrepreneurship, and innovation.
Lead the ML strategy for Workforce Management, delivering production systems for forecasting, routing, and optimisation.
Coach and develop a growing team of Machine Learning Scientists embedded in product squads.
Work cross-functionally with Product, Engineering, Data, and Operations leaders to solve ambiguous operational problems.
Monzo is a digital bank on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and pension consolidation. With over 10 years of growth in the UK and a focus on financial education and award-winning customer service, Monzo has a vibrant culture and a strong commitment to diversity and inclusion.
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.
Implement core machine-learning, computer vision, and procedural modeling algorithms in C++.
Apply cutting-edge research in AI, computer vision, and computer graphics.
Deploy and test code on large-scale geospatial datasets using Git and cloud platforms.
NBCUniversal is one of the world's leading media and entertainment companies, creating and distributing content across film, television, and streaming. They are a subsidiary of Comcast Corporation with a rich tradition of community giving and an inclusive culture.
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.
Design and build scalable ML training, deployment, and inference pipelines using CI/CD and cloud infrastructure.
Implement MLOps for model versioning, monitoring, and automated retraining to detect drift and performance degradation.
Partner with Data Scientists and Product teams to productionise models and integrate ML into customer-facing products.
We develop solutions that make an impact for companies around the globe. Our culture embraces openness, acts with respect, shows grit & guts, and combines employment with enjoyment.
Design, build, and ship ML models that power content generation and quality eval scoring for Canva's generated element and template library.
Own the full ML lifecycle — from data pipelines and training through to deployment, monitoring, and iteration.
Partner with Content Engine, CORE AI Research, AI Media, and Discovery teams to align ML work with the broader content strategy.
Canva is redefining how the world experiences design with its intuitive design platform. We serve hundreds of millions of users globally and foster a culture of flexibility, inclusion, and innovation.
Drive end-to-end ML development for customer-facing SaaS products, from pipelines to production deployment and monitoring.
Design evaluation strategies and A/B tests to prove ML features improve customer outcomes and business impact.
Influence product roadmap by communicating ML capabilities and trade-offs to cross-functional teams.
WorkWave provides field service and logistics software solutions that help businesses manage their operations and serve their customers. They are a global company with a remote-first culture, recognized as a Best Place to Work and named among the top software companies worldwide.
Set technical direction for core replenishment R&D and align it with product and business strategy.
Model complex problems such as inventory decay and demand forecasting, driving changes from research through production.
Lead research and development for new challenges and mentor scientists and engineers.
Afresh is an AI platform for grocery, empowering partners like Albertsons, Meijer, and Wakefern to drive smarter decisions across their enterprise. With over 200 million pounds of food waste prevented last year and a 70% revenue growth in 2025, it has scaled to 6 enterprise-grade solutions covering over 10% of the U.S. grocery market.
Build and operate production-grade model serving infrastructure using vLLM, TGI, or Triton frameworks.
Design and implement auto-scaling, multi-model architectures, and intelligent request routing for ML inference.
Optimize GPU utilization, memory efficiency, and observability to ensure low-latency, cost-effective systems.
They are a distributed cloud infrastructure startup building AI-native cloud services with GPU-powered compute. The company is well-funded, fast-scaling, and operates in a remote-first environment with a focus on sustainability and decentralization.
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.
Develop data-driven solutions that power delivery planning, operational efficiency, and customer promise accuracy across multiple markets.
Design, develop, and deploy machine learning models and optimization solutions across the full lifecycle from research to production.
Apply advanced techniques such as statistical modeling, optimization, geospatial analytics, and forecasting to improve delivery operations.
AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies, with over 500 beer brands. The BEES AI organization drives data science and machine learning strategy across logistics, operations, and customer-facing products, building end-to-end intelligent systems that optimize how goods move through our network at global scale.
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.