Contribute to the development of the Everywhere Inference platform, a Kubernetes-based solution.
Design and implement APIs and developer tools to simplify deployment, management, and monitoring of AI applications.
Focus on packaging and integrating new ML models into the platform, using Python and common ML frameworks.
Gcore provides infrastructure and software solutions for AI, cloud, network, and security. They power everything from real-time communication and streaming to enterprise AI and secure web applications, with over 550 professionals globally and partnerships with technology leaders.
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.
Design, implement and validate high-reliability, distributed platforms for machine learning, natural language processing, and LLMs.
Create, debug, interpret and improve production machine learning and natural language processing models.
Build the tools and validation processes that help Counterpart translate insights into action at scale.
Counterpart Health transforms healthcare and improves patient care with its innovative primary care tool, Counterpart Assistant. They are a subsidiary of Clover Health, with an exceptional team of value-based care and technology experts, driving value-based care at the speed of software.
Work with designers and product managers to create high-performing product features.
Apply ML techniques to LLM-based approaches with a strong focus on reliability, performance, and maintainability.
Optro is the leading audit, risk, ESG, and InfoSec platform on the market and has surpassed $300M ARR. They inspire each other to innovate and assist each other to create the most loved platform, which has allowed them to become one of the 500 fastest-growing tech companies in North America.
Design and own CI/CD pipelines for ML/AI workflows.
Build and maintain scalable ML/AI infrastructure on cloud platforms.
Equip is a virtual, evidence-based eating disorder treatment program. They aim to ensure everyone can access effective treatment, operating in all 50 states and partnering with major health insurance plans, recognized for its engaged culture and sustainable treatment.
Serve as the primary AI engineering partner to the CEO and executive leadership team, translating ideas into production-ready AI agents.
Independently take ideas from concept to production, shaping problem statements and operationalizing solutions.
Develop production-grade AI systems using modern LLMs, with strong attention to scalability and clean engineering practices.
Webflow is building the world’s leading AI-native Digital Experience Platform as a remote-first company. Their mission is to bring development superpowers to everyone and empower teams to design, launch, and optimize for the web without barriers.
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.
Build and ship AI-powered product features using LLMs and generative models
Develop and maintain services and APIs around ML models
Integrate AI models into production systems and user-facing applications
Social Discovery Group (SDG) is the 3rd largest social discovery company in the world, uniting 60+ brands with 500 million users. They transform virtual intimacy into the new normal by solving the problems of loneliness, isolation, and disconnection. Their international team of 1200 professionals and digital nomads works all over the world.
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, develop, and maintain high-performance, scalable, and secure backend services, primarily using Python and frameworks like FastAPI
Translate ambiguous business and technical requirements into concrete software designs and actionable tasks for cross-functional teams
Operate and maintain production applications at scale, ensuring high availability, performance, and reliability
SmartAsset is an online destination for consumer-focused financial information and advice, whose mission is helping people make smart financial decisions, reaching over an estimated 59 million people each month. Valued at over $1 billion, SmartAsset has earned recognition on the Inc. 5000 and Deloitte Technology Fast 500 lists.
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.
Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
Develop and maintain backend services using Python, focusing on AI-driven applications.
Design and implement APIs for seamless integration with AI models and services.
Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans. They are rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve.
Build AI-Powered Features: Design, develop, and deploy production-grade AI applications from concept to deployment.
Architect Scalable Systems: Create robust backend architectures that support AI workloads, ensuring low latency and high reliability.
Drive AI Innovation: Implement and optimize agentic AI systems, RAG pipelines, and multi-agent workflows using modern LLM frameworks.
Procurify is the AI-enhanced procurement and AP automation platform for mid-market organizations, making it easy for organizations to take control of spending and save money. It is a remote-first company with a big heart and a strong ambition to modernize how organizations manage business spend.
Work with customers to develop requirements and scope for new AI/ML projects.
Develop computer vision and machine learning based solutions for inspection platforms.
Analyze large datasets to extract meaningful insights and drive business decisions.
Loram provides advanced insights into inspection data collected for customers worldwide. The company has a small, collaborative team managing the entire project lifecycle, offering employees an outsized impact on inspections and maintenance recommendations.
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.
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.
Conduct code reviews across the platform codebase.
Build and maintain integrations with enterprise systems including SharePoint (via Microsoft Graph API), GitLab, EPDM, and internal Hub services.
Develop and maintain LLM API integrations across multiple providers.
General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, they partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas.
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.
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.