Contribute to designing, evaluating, and shipping our mental health AI Agent and its supporting infrastructure.
Develop and maintain robust data pipelines to power model training and evaluation.
Partner with AI Research, Product, and Engineering teams to define new features.
Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform. They aim to make world-class healthcare available anytime, anywhere, while significantly reducing costs. Backed by clinical studies and patents, Sword Health has raised more than $500 million from leading investors.
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.
Build and operate production-grade model serving infrastructure using frameworks such as vLLM, TGI, Triton, or equivalent
Design and implement robust deployment pipelines with blue/green and canary rollout strategies for ML models
Develop and maintain auto-scaling systems, multi-model serving architectures, and intelligent request routing layers
Pragmatike is recruiting on behalf of a fast-scaling, well-funded distributed cloud infrastructure startup building next-generation AI-native cloud services. The company is redefining how compute is delivered by providing GPU-powered infrastructure for AI/ML workloads, secure storage, and high-speed data transfer through a decentralized architecture that significantly reduces environmental impact compared to traditional cloud providers.
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, build, and operate AI- and machine learning-powered systems.
Develop scalable pipelines, deploying models into production, and integrating AI capabilities into operational systems.
Transform large-scale sensor and orbital datasets into intelligent systems.
LeoLabs is building the living map of activity in space. Through their proprietary global radar network and AI-enabled analytics platform, they collect millions of measurements daily. They are redefining global security, safety, and transparency in space.
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.
Own all engineering deliverables - quality, scalability, and on-time execution.
Lead and manage the full engineering organization: AI Engineers, ML Engineers, MLOps, and Data Engineers.
Define and standardize best practices across the full AI/ML lifecycle — from experimentation through deployment and monitoring.
The Global Talent Co. connects global tech companies with global talent, believing in equal access to opportunities regardless of birthplace. They bridge the gap by finding amazing global talent for leading tech companies.
Drive the design and evolution of AI-ready tools and APIs for LLM platforms.
Own and evolve evaluation frameworks that measure tool-use accuracy across platforms.
Shape Canva's agent architecture, making strategic technical decisions about intelligence location.
Canva is a design platform that enables users to create various visual content. They have offices in multiple locations in Australia and New Zealand, and they offer a flexible work environment.
Build and deploy end-to-end AI/ML solutions, from data pipelines and feature engineering to model training and inference
Develop and maintain data pipelines for ingesting, transforming, and preparing data for analytics and machine learning
Write clean, modular, and maintainable code to support scalable AI applications
Eimagine fosters a remote-enabled environment where their people can thrive. They are a team of professionals who take pride in their craft, continuously learn, and support one another, helping clients navigate technology and business change while delivering meaningful outcomes.
Build and own product and platform capabilities across Spiral and AXO, from early prototypes to production systems.
Design and implement AI-powered workflows, agent capabilities, and backend services that are scalable, secure, and reliable.
Develop high-performance APIs, async workers, and application logic in Python and TypeScript.
UJET leads in AI-powered contact center innovation, offering a cloud platform that redefines customer experience. They ensure security, scalability, and prioritized data insights, partnering with businesses for smarter decision-making and accelerated growth in the AI-driven world.
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.
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, build, and deploy generative AI applications using Google Gemini, PaLM 2, and other Google-hosted foundation models via Vertex AI.
Implement Retrieval-Augmented Generation (RAG) architectures using Vertex AI Search, Vector Search, and document embedding pipelines for enterprise knowledge retrieval.
Develop end-to-end ML pipelines from data ingestion and feature engineering through model training, evaluation, and production deployment on Vertex AI Pipelines / Kubeflow.
Roboyo is a category shaper in Agentic Automation that helps leading brands embed autonomous, AI‑powered agents into their workflows, processes, products and services so they can scale faster and operate smarter. They are a global team of builders, consultants and engineers that are top practitioners of taking solutions to the next level for clients in pursuit of excellence.
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.
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.
Design, prototype and productionize scalable machine learning and optimization models.
Develop frameworks, pipelines, libraries, utilities and tools that process massive data for ML tasks.
Build end-to-end reusable pipelines from data acquisition to model output delivery.
BetterHelp's mission is to remove the traditional barriers to therapy and make mental health care more accessible. Founded in 2013, they are now the world’s largest online therapy service, with over 30,000 licensed therapists.
Extend, optimize, and maintain core data models for reports, machine learning, and generative AI.
Implement automation and operationalize ML models to streamline operational processes and improve efficiency.
Partner with engineering, product, and analytics teams to deliver seamless integrations and customer-facing data products.
Boulevard provides a client experience platform for appointment-based, self-care businesses, helping customers enhance client experiences. They value diversity and inclusivity, offering equal opportunities and aiming to create a supportive work environment.
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.
Collaborate within a multi-disciplinary team of product managers, designers, software engineers, machine learning and biomedical scientists.
Design, build, and maintain scalable, reliable AI systems.
Drive technical decisions and provide context-aware solutions for AI systems in biological research.
Owkin is an AI company with a mission to solve the complexity of biology. They are building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software.