Design, build, and maintain ML infrastructure across training, evaluation, serving, and monitoring
Own data pipelines including generation, cleaning, validation, and versioning
Build and improve experiment tracking, orchestration, and reproducibility tooling
Quilter is helping electrical engineers save time and accomplish more by automating the tedious and time-consuming task of designing printed circuit boards (PCBs). Their small team is composed of experts in electrical engineering, electromagnetic simulation, ML/AI, and high-performance computing (HPC).
Design and maintain robust ML deployment pipelines to ensure seamless model delivery.
Automate model training, deployment, and monitoring workflows to increase operational efficiency.
Collaborate closely with Data Scientists and Engineering teams to integrate models into production environments.
Truelogic is a leading provider of nearshore staff augmentation services, headquartered in New York. With over 600+ highly skilled tech professionals based in Latin America, they drive digital disruption by partnering with U.S. companies on their most impactful projects.
Build scalable Edge infrastructure, designing and maintaining delivery systems for model deployment.
Work with cross-functional teams to integrate complex features, translating research into hardware realities.
Drive automation and reliability by implementing infrastructure to test models and monitor performance.
Hudl builds great teams and hires the best to ensure employees are working with people they can constantly learn from. They provide a culture where everyone feels supported, becoming one of Newsweek's Top 100 Global Most Loved Workplaces.
Design and maintain CI/CD pipelines for ML model training, packaging, and deployment across our microservices.
Manage containerized services on AWS ECS, optimizing for cost, latency, and availability.
Automate infrastructure provisioning and service configuration with Terraform.
Newsela takes authentic, real-world content from trusted sources and makes it instruction-ready for K-12 classrooms. Each text is published at five reading levels, so content is accessible to every learner; over 3.3 million teachers and 40 million students have registered.
Build and maintain infrastructure-as-code for our AWS EKS and GCP GKE clusters, plus on-premises deployments.
Own CI/CD pipelines and drive GitOps adoption.
Deploy, scale, and optimize ML/NLP inference workloads.
Vectara is the Enterprise Agent Platform that enables businesses to build and deploy governed, grounded, auditable AI agents across SaaS, VPC, and on-prem. We’re a passionate team that’s hyper-focused on solving enterprise-level technology and business problems with AI.
Architect the ML Ecosystem: You will own the end-to-end lifecycle of our ML infrastructure, designing a scalable, modern environment that enables models to thrive in production.
Productionize Innovation: Partner closely with our Data Science team to take complex algorithms from the "lab" to the "real-world", building the high-performance pipelines required to scale them.
Engineer Feature Intelligence: Design and maintain both offline and online feature stores, ensuring our models have the high-quality data they need for instant decision-making.
True Accord, a wholly owned subsidiary of TrueML, combines machine learning with a human-based approach to transform debt resolution and to get people on the path towards financial health. We are a dynamic group of people who are subject matter experts with a passion for change.
Build and productionize reusable MLOps components supporting scalable and reliable ML workflows.
Establish strong ML lifecycle practices including experiment tracking, evaluation, and reproducibility.
Enable robust and monitored ML systems aligned with healthcare-grade reliability and compliance requirements.
Neko Health aims to shift healthcare from treating illness to preventing it, using advanced, non-invasive technology and clinical expertise. They have nearly 100 full-time engineers working across multiple European locations and prioritize work-life balance.
Design and build training pipelines, fine-tuning workflows, and RL infrastructure.
Implement data ingestion and curation systems, inference services, and scalability and backend architecture.
Own the platform that turns models into production systems.
Fastino is building the next generation of LLMs, with a team of alumni from Google Research, Apple, Stanford, and Cambridge. Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb.
Build and ship customer‑facing AI, combining Generative AI with machine‑learning techniques.
Develop new models end-to-end, from understanding product requirements to implementation and deployment.
Create an ML Ops framework to ensure models scale effectively with proper monitoring and alerts.
Qonto is creating the leading finance workspace with banking at its core for SMEs in Europe, augmented by financial tools. Founded in 2017 by Alexandre and Steve, Qonto has grown to over 1,600 employees and serves over 600,000 customers across 8 European countries, with a culture that prioritizes customer satisfaction.
Scope and lead ML initiatives end-to-end from identifying opportunities through production deployment.
Design, develop, and optimize ML models and AI systems for document processing and automation.
Build and maintain production ML pipelines that are robust, observable, and scalable.
Medallion is a healthcare technology company building a provider operations platform to eliminate administrative bottlenecks. They are one of the fastest-growing healthcare technology companies, with a mission to transform healthcare at scale and are backed by $130M in funding.
Design, build, and maintain scalable MLOps pipelines for model training, validation, deployment, and monitoring using AWS services.
Implement infrastructure as code and CI/CD workflows to support rapid experimentation and reliable production releases.
Collaborate with data scientists to productionize ML models and ensure reproducibility, versioning, and traceability.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. They are a FTSE 100 Index company with a team of 23,300 people across 32 countries, investing in people and new advanced technologies to unlock the power of data and to innovate.
Design the BYOC deployment model for Archie across customer environments.
Build and own Kubernetes-based infrastructure that runs reliably across multiple clouds and customer setups.
Create deployment tooling using Helm, GitOps, or similar approaches to make installation and operations repeatable.
P-1 AI is building an engineering AGI with their first product, Archie, an AI engineer. They closed a $23 million seed round and aim to put an Archie on every engineering team at every industrial company on earth.
Develop and enhance backend features, ensuring system reliability and scalability.
Collaborate with stakeholders to define requirements and improve system performance.
Manage infrastructure using Terraform and other infrastructure-as-code tools.
Aura is on a mission to create a safer internet, offering a suite of intelligent digital safety products that help millions of customers protect themselves against digital threats. With over 400 employees worldwide, Aura is guided by experienced leadership and fostering an inclusive community.
Own the full ML lifecycle, including data ingestion, training, validation, deployment, monitoring, retraining, and retirement.
Transition AI/ML prototypes into scalable, production-ready systems with CI/CD pipelines, automation, and observability.
Develop and maintain AI-driven applications and inference services, optimizing for performance, scalability, reliability, and cost.
IMO Health combines software development, artificial intelligence, and clinical expertise to create AI-driven solutions. They enhance access to reliable health information, support clinical decision-making, and improve patient outcomes.
Define team vision and strategic direction for conversion modeling.
Oversee model development from ideation to deployment.
Recruit, mentor, and retain top ML talent.
Reddit is a platform built on shared interests, passion, and trust, and is home to open and authentic conversations. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Serve as the senior-most technical expert on applying advanced AI and ML practically.
Lead in designing secure and scalable AI solutions, going beyond API integrations for competitive advantages.
Guide customers and engineering teams on best practices for high-performance training, model serving, and complex agentic systems.
Zencore is a fast-growing company established by former Google Cloud leaders, architects, and engineers. They focus on eliminating obstacles, reducing risk, and accelerating timelines for customers transitioning to Google and modernizing data and applications. They are committed to a diverse and inclusive workplace.
You'll own client launches end-to-end: validating data, selecting models, running UAT, going live, and monitoring performance afterwards.
You'll join client calls, build relationships, and understand what actually matters on the ground.
You're experienced in and excited by taking a machine learning project from business idea to deployed production system.
Sona is the next generation of AI-native, frontline workforce management. They've built an end-to-end platform covering Scheduling, HR, Payroll, and Communications that gives the largest frontline organizations everything they need to staff more intelligently and empower their teams. The team has grown to 140+ and secured over $100M in funding, creating a significant impact on the company's growth trajectory and culture.
You’ll design, build, and maintain scalable systems for serving machine learning models in production.
You’ll optimise inference performance, including latency, throughput, and cost efficiency.
You’ll collaborate with ML researchers and engineers to productionise models
Canva is a design platform that enables users to create a variety of visual content. They have campuses in Sydney and Melbourne, with co-working spaces in other Australian cities, and promote a flexible work environment.
Build scalable, production-grade LLM services and agentic workflows, alongside traditional ML systems where appropriate.
Hiflylabs is a team of 250+ data and tech enthusiasts based in Budapest. They focus on data engineering, data science, artificial intelligence and application development, working on a wide range of projects around the world. Hiflylabs values its people and is committed to nurturing their personal and professional development through a mentoring system.
Develops software using the KnowBe4 Software Development Lifecycle and Agile Methodologies.
Designs, develops, and researches Machine Learning systems.
Transforms data science prototypes by applying appropriate Machine Learning algorithms and tools.
KnowBe4 is a global leader in Human Risk Management, trusted by over 70,000 organizations worldwide. They secure employees and AI agents and pioneer a new era of security with AI-powered and market-leading solutions, combining risk intelligence, technical defenses, and personalized training.