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.
Design and implementation of reliable, maintainable, and scalable GenAI systems.
Serve as a subject matter expert for machine learning systems owned by the team.
Mentor junior and mid level engineers through code reviews and design collaboration.
Trajector specializes in medical evidence services, guiding clients through disability benefits complexities. They are a global team of over 1,800 dedicated individuals, streamlining the path to benefits and ensuring access to rightful compensation for those with disabilities.
Own the end-to-end strategy including CI/CD pipelines, infrastructure-as-code (IaC), automated testing, and release management across all environments.
Architect prompt engineering environments, model orchestration, API integrations, and validation pipelines.
Own global cloud infrastructure (primarily Microsoft Azure) to ensure high availability, security, compliance, and horizontal scalability.
Endeavour is tackling global challenges by decentralizing infrastructure and developing new technologies to guarantee clean water and renewable energy to everyone. They are a group of passionate change-makers who want to leave the world better than they found it, fostering camaraderie between people who bring their A-game to work every day to make a difference.
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.
Design and implement evaluation systems and tooling to validate Oura’s custom AI models and Advisor
Develop novel evaluation methods to measure grounding, reliability, and actionability of LLM and agentic systems
Build and optimize custom AI models through fine-tuning, knowledge distillation, and quantization
Oura's mission is to empower every person to own their inner potential. Their award-winning products help their global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. They are focused on helping people live healthier and happier lives, and ensure that their team members have what they need to do their best work — both in and out of the office.
Build a high performing team by hiring and nurturing engineering talent.
Drive technical solutioning and building roadmaps.
Work closely with engineering leaders to drive engineering excellence in our processes and systems.
Aledade empowers primary care physicians with technology to keep their patients healthy, preventing unnecessary hospitalizations. They are a technology company that helps primary care doctors deliver better care at a lower cost.
Lead the reference architecture for AI and agentic systems within key product domains.
Design and deliver production ready AI systems, ensuring reliability, scalability, observability, performance, and cost efficiency across the full lifecycle.
Establish platform level AI and data components, including Model broker and multi-model routing strategies.
PointClickCare is a leading health tech company that’s founder-led and privately held, they empower their employees to push boundaries, innovate, and shape the future of healthcare. With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, their platform serves over 30,000 provider organizations and they reinvest a significant percentage of their revenue back into research and development.
Design and build AI-powered developer tools that improve engineering efficiency across the company
Develop and deploy LLM-based applications to streamline internal workflows
Build and optimize AI-assisted CI/CD pipelines, including intelligent test selection, build failure prediction, and deployment risk assessment
Binance is focused on leveraging AI/LLM technologies to fundamentally improve how our engineers build, test, deploy, and operate software. They are looking for people to join their team to design and implement AI-powered tools and systems to accelerate development velocity across the organization.
Own technical direction for high-impact AI products and work across teams to turn big ideas into shipped systems.
Help raise the bar for how they build, evaluate, and operate AI in production.
Rula strives to create a world where mental health is no longer stigmatized and provides quality, evidence-based care. They are a remote-first company that is dedicated to treating the whole person, not just the symptoms, and making a positive impact in the field of mental healthcare.
Contribute to the development of software infrastructure to support the creation of agentic systems.
Deploy and operate cloud-hosted services for use by the research community.
Define key directions to keep UChicago at the forefront of AI/ML and national data infrastructure.
The University of Chicago delivers solutions to the research community worldwide through Globus, a sustainable, non-profit unit. They develop cloud-based software for governmental, academic, and commercial organizations, emphasizing data management challenges, and house employees in downtown Chicago and remotely.
Lead the design, development, and deployment of production, multi-turn LLM-powered features.
Own backend services in Python that integrate LLM agents with Fullscript’s platform and support reliable production use.
Partner with medical, product, and engineering teams to identify high-value opportunities for AI and turn them into practical, scalable product capabilities.
Fullscript is a health technology company committed to helping people get better by creating a platform that powers every part of care. More than 125,000 practitioners use Fullscript for clinical insights, lab interpretations, patient analytics, education, and access to high-quality supplements.
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.
Drive the architectural vision for our platform and lead AI strategy within engineering.
Own greenfield architectural decisions and provide leadership across application, network, and infrastructure security.
Drive team SDLC processes and lead the recruiting process for engineers.
Zócalo Health is a tech-enabled, community-oriented primary care organization serving people who have historically been underserved by the healthcare system. Founded in 2021, Zócalo Health is backed by leading healthcare and mission-aligned investors and is scaling rapidly across states and populations.
Design and develop AI-enabled services and applications using Python and modern cloud-native architectures.
Integrate large language models (LLMs) and AI APIs into production systems to enable intelligent automation and decision support.
Build scalable microservices and APIs that support AI-driven workflows and data processing.
Mind Computing designs, develops, and deploys AI-enabled applications that improve healthcare workflows, automate complex processes, and support data-driven decision-making. They foster a collaborative development environment to build scalable systems and integrate modern AI capabilities into cloud-based platforms.
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, build, and maintain the AI-augmented software delivery platform that enables the engineering team to build software faster and safer using AI coding agents.
Evaluate and recommend AI coding tools against developer workflows, compliance constraints, and codebase characteristics.
Build rules, instruction files, and CI pipeline checks that flag PHI exposure, tenant isolation concerns, and security issues in AI-generated code before it reaches human review.
Lirio unites behavioral science with advanced artificial intelligence (AI) to deliver Precision Nudging health interventions. We promote health and well-being across an individual’s lifespan. They are a technology/software company that helps drive consumer engagement.
Lead the design of end-to-end AI/ML solutions, ensuring scalability, reliability, and alignment with client business objectives.
Translate ambiguous business challenges into clear, actionable AI strategies and solution architectures.
Define and guide implementation of enterprise AI systems, including data pipelines, model development workflows, and production inference architectures.
Eimagine helps clients navigate technology and business change, while staying committed to delivering value & outcomes that enables their success. They are a team of humbly confident people who are proud of their craft, continuous learners, and have been known to cheer loudly for their teammates.