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.
Build and deploy AI models with RAG and tool calling for various product features.
Collaborate with frontend and backend engineers to bring AI features into production.
Stay updated with the latest AI research and propose innovative applications relevant to Finom’s mission.
Finom is a European tech startup headquartered in Amsterdam, revolutionizing financial services for entrepreneurs. They offer an all-in-one B2B financial solution integrating banking, accounting, financial management, and invoicing into a seamless, mobile-first platform, actively expanding across key EU markets.
Research & Train: Design, train, and evaluate our proprietary deep learning models.
High-Performance ML Systems: Optimize our models for maximum inference speed and efficiency, ensuring they can handle massive datasets and real-time workloads at scale.
Deepslate is building Speech to Speech Voice AI models that sound and act indistinguishable from a human, believing everyone should be able to use it. Backed by top-tier investors from the Tech and AI sectors, as well as a major German VC fund, they are incredibly well-funded and moving fast.
Design, develop, and deploy intelligent AI Agents using Python-based frameworks.
Architect and implement robust Retrieval-Augmented Generation (RAG) pipelines from scratch.
Integrate LLMs into public sector and healthcare applications while ensuring high accuracy and reliability.
Deutsche Telekom IT Solutions, a subsidiary of the Deutsche Telekom Group, is Hungary’s most attractive employer in 2025. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees, serving hundreds of large customers, corporations in Germany and in other European countries.
They deliver cutting-edge ML and GenAI solutions across diverse industries and collaborate with global organizations. The company solves real-world challenges at scale with dynamic, high-impact projects.
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.
Collaborate with Cohere’s Modelling Safety team on implementing novel research ideas.
Conduct cutting-edge machine learning research, training and evaluating production large language models.
Focus on research projects aimed at making models better understood, safer, more reliable, more inclusive, and more beneficial for the world
Cohere scales intelligence to serve humanity. They train and deploy frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search and agents. They are a team of researchers, engineers, and designers.
Drive foundation models for wearable biosignals, setting standards for reusable representations.
Design, implement, and validate deep learning approaches for large‑scale physiological time‑series.
Lead scientific publications from core modeling and validation work that advance understanding of human physiology.
Oura's mission is to empower every person to own their inner potential. They provide insights and practical steps to inspire healthy lifestyles through their Oura Ring and app. Oura is a quickly growing company focused on helping people live healthier and happier lives, ensuring that their team members have what they need to do their best work both in and out of the office.
Build and ship AI-powered product and internal solutions using LLMs, RAG, tool calling, workflows, and agentic patterns
Design quality and evaluation frameworks for AI systems, including offline evals, online signals, failure analysis, and continuous improvement loops
Contribute to AI platform and tooling decisions that improve reuse, speed, and consistency across teams
Finom is a European tech startup headquartered in Amsterdam, revolutionizing financial landscape for entrepreneurs. They develop an all-in-one financial B2B solution integrating banking, accounting, financial management, and invoicing into a mobile-first platform and nurture innovation in an inspiring work environment.
Plan, design, and run experiments to evaluate and refine deep learning architectures and training methodologies.
Research, implement, and adapt new algorithms and model architectures from recent ML papers.
Collaborate closely with talented engineers to translate research insights into robust, deployable models.
Compound Eye enables machines to understand their surroundings in 3D and in real time using only passive sensors. They have customers in automotive, agriculture, healthcare, and defense and is backed by Khosla Ventures and other leading investors, with a team of sixteen in the US. Their culture is based on transparency, mutual respect and accountability.
Design and deploy state-of-the-art models to extract structured knowledge.
Fine-tune Large Language Models (LLMs) and Small Language Models (SLMs) with domain-specific context.
Collaborate with data infrastructure engineers to architect a scalable platform.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Design and implement production-scale AI agent systems and orchestration frameworks.
Deploy and optimize LLMs/SLMs in production with fine-tuning techniques.
Build data pipelines for training data curation, synthetic generation, and PII masking.
FourKites is the leader in AI-driven supply chain transformation for global enterprises and a pioneer of advanced real-time visibility. They turn supply chain data into automated action helping 1,600+ global brands prevent disruptions. They provide competitive compensation with stock options, outstanding benefits and a collaborative culture for all employees around the globe.
You’ll own the development and testing of deep learning architectures that define how Tilt understands risk.
You’ll partner with peers in Engineering and Product to ensure our models are effective and scalable in the real world.
You’ll look past the symptoms of a data problem to find the root cause and turn complex findings into clear, actionable solutions for our lending platform.
Tilt is creating a new credit system that backs the working, whatever they're working toward. They have millions of customers worldwide and they are changing how people access financial products. At Tilt, they see a side of people that traditional lenders miss.
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.
Completing AI training tasks such as analyzing, editing, and writing Python
Judging the performance of AI in performing Python-related prompts
Improving cutting-edge AI models
Prolific is building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
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.
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.
Formulate and drive original research directions in graph learning for fraud detection.
Design scalable approaches for dynamic, heterogeneous, and large-scale fraud graphs.
Investigate agentic AI and LLM-augmented systems for automated risk reasoning.
Socure is building the identity trust infrastructure for the digital economy, verifying identities in real-time and stopping fraud. They hire people who move fast, think critically, act like owners, and care deeply about solving customer problems with precision.
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.