Support training, fine-tuning, and evaluation of neural foundation models.
Build and maintain data pipelines for petascale neurobehavioural datasets.
Prototype tools and demos to apply trained models to robotics and embodied AI tasks.
Netholabs builds AI grounded in biological intelligence by recording petascale neurobehavioural data to train neural foundation models. They are a small, fast-moving research team focused on AI, robotics, and personalized intelligence.
Build tools, automations, and applications to support internal business needs across marketing, research, and workflow optimization.
Design, test, and improve language model based workflows for tasks such as classification, summarization, extraction, generation, and search.
Partner with teams across Marketing, Product, Data Science, and the broader business to translate needs into scalable solutions.
Penguin Random House is the leading adult and children's publishing house in North America, the UK and many other regions, publishing the best books across all genres. With nearly 300 publishing brands and imprints, our diverse international community is committed to quality, excellence, and innovation throughout the publishing process.
Design, implement, and maintain ML-driven services and data workflows in Python.
Apply software engineering best practices, including clean code, testing, CI/CD, and documentation.
Deploy and operate ML services on GCP, using tools like Cloud Run, GKE, and BigQuery.
CertifyOS builds the data infrastructure that powers modern healthcare, automating provider licensing, enrollment, and credentialing via an API-first platform. They are backed by leading investors and built by a team with deep experience in provider data systems, emphasizing authenticity, accountability, and collaboration.
Develop, train, and evaluate machine learning models to support product objectives.
Prepare, clean, and analyze datasets for model training and validation.
Deploy, monitor, and improve machine learning models in production environments.
The partner company develops AI-powered products to solve real-world challenges. They offer a fully remote, flexible work environment with a focus on innovation and collaboration.
Conduct in-depth research into Machine Learning, Deep Learning, and Generative AI.
Identify gaps, limitations, and opportunities in existing research and technologies.
Stay up to date with the latest research papers, models, architectures, and techniques.
ImagineArt is a fast-growing generative AI company building next-generation AI-powered creative tools. We are a small, ambitious team with a research-driven culture exploring cutting-edge AI technologies.
Lead applied AI projects from concept to impact, building and deploying ML/GenAI solutions across product, engineering, and security teams.
Act as an internal AI consultant, scoping problems, evaluating approaches, and advising on best practices for generative technologies.
Design experiments, build models for anomaly detection and fraud analysis, and bridge research to production via scalable APIs and tools.
Sonatype is a software supply chain management company that invented componentized software development and pioneered the category. Trusted by over 2,000 organizations, including 70% of the Fortune 100, and 15 million developers, the company fosters innovation, AI/ML adoption, and an inclusive culture.
Build custom AI agents and automated workflows to help marketing teams work faster.
Integrate AI tools with existing martech stack using platforms like Zapier and MCP connectors.
Document learnings, run office hours, and evaluate new AI tools for adoption.
Azul builds core Java platform technology. They have a culture focused on innovation, customer focus, and integrity, with a team of top experts worldwide.
Contribute to the entire development cycle of cutting-edge large deep learning models, from dataset preparation to deployment.
Collaborate with engineers and researchers to translate research into practical applications, wearing many hats.
Work at an exciting moment to build something from the ground up with a kind and collaborative team.
Reka builds useful multimodal AI to empower organizations, as a globally distributed foundation model startup headquartered in San Francisco Bay Area. The team, including contributors from Google DeepMind and FAIR, embraces a remote-first culture and collaborates globally.
Develop scripts and tools to improve processes like onboarding, transactions, and reporting.
Integrate AI and LLMs using generative AI for tasks like document handling and decision support.
Design agent-based automations using frameworks like LangChain or CrewAI to perform multi-step tasks independently.
Experian is a global data and technology company powering opportunities for people and businesses worldwide. We have an amazing team of 25,200 people across 32 countries, with a people-first and inclusive culture.
Design and develop machine learning infrastructure, tooling, and models to deliver world-class experiences.
Help product teams understand the data lifecycle and experimental nature of machine learning.
Build internal platforms to enable teams to incorporate AI into customer-facing products.
Weave provides AI-powered features and data services, handling data for hundreds of millions of people daily. The company fosters a culture of autonomy, collaboration, and innovation with cross-functional agile teams.
Build the software backbone for autonomous foundation models, including multimodal data pipelines and training workflows.
Implement and iterate on LLM, VLM, and VLA architectures, owning model code paths and inference runners.
Deliver production-grade serving tooling for low-latency operation and own systems from architecture to iteration.
We're building the next generation of ground transportation with advanced physical AI to simplify freight challenges. Our stealth team, founded by engineers who scaled autonomous driving, is developing a new vehicle platform and focuses on creating reliable real-time autonomous systems.
Design, build, and optimize data workflows for Machine Learning and GenAI solutions in cloud environments.
Develop and deploy Machine Learning and Generative AI models using AWS SageMaker.
Create and manage data and model pipelines to improve the efficiency of AI and machine learning systems.
Netrix Global provides the people, processes, and technology to run and scale modern data-driven businesses. It is a top system integrator with a culture focused on ownership, teamwork, and respect.
Design and deploy state-of-the-art GenAI solutions including RAG pipelines, LLM orchestration, and AI agents.
Lead high-impact, client-facing engagements and oversee junior consultants.
Work hands-on with Databricks, LangChain, and models like GPT, LLaMA, and Claude.
Lovelytics helps some of the most complex enterprises modernize their data and put AI to work. The company has grown from 85 to 500+ people across the Americas, maintaining a technically excellent, low-ego culture.
Build models and data products that go from prototype to production, including generative models and subscriber-behavior predictions.
Dig into large, messy datasets to uncover trends and patterns, and contribute to the core Python data science library.
Build LLM-powered pipelines and agents, with comprehensive evals to validate model responses.
DevSavant is an operating partner for startups and growth-stage companies, helping them turn ambition into execution. With over 8 years in venture-backed ecosystems, they are trusted to accelerate delivery and scale teams efficiently.
Passionate about building AI models from the ground up and deploying them in production
Excited about joining early-stage startups and working directly with founders
Interested in shaping AI strategy and leading the development of AI-powered products
SignalFire partners with top early-stage startups shaping the future of technology. They have a portfolio of over 200 innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS.
Design and maintain LLM-powered backend services using Python and FastAPI.
Implement retrieval-augmented generation (RAG) for structured and unstructured fleet data.
Optimize retrieval accuracy, latency, and hallucination rates through automated evaluation pipelines.
Datakrew revolutionizes EV fleet intelligence with IoT and AI solutions. They aim to serve one million EVs within 5 years and cultivate a mission-driven culture.
Design, build, deploy, and optimize machine learning models that process large volumes of complex, unstructured data.
Develop and maintain scalable ML pipelines capable of supporting millions of documents and diverse customer requirements.
Lead technical initiatives from early experimentation through production implementation and ongoing improvement.
The company develops intelligent automation solutions using AI and machine learning for large-scale document processing. It offers a highly autonomous engineering environment with a focus on continuous improvement and innovation.
Operate as a self-sufficient, T-shaped, full-stack AI/ML engineer
Recommend AI/ML-driven solutions and implement them
Review technical architecture documentation for the project and ensure that the engineering team’s deliverables are implemented accordingly
Serious Development is a boutique healthcare strategy, product, and software engineering firm. We partner with healthcare organizations to solve complex operational challenges through thoughtfully designed custom software.
Conduct cutting-edge machine learning research, building and training large language models.
Focus on research projects aimed at expanding the frontier of knowledge in language modelling and associated areas.
Disseminate your research results through publications, datasets, and code.
Cohere is a security-first enterprise AI company that builds cutting-edge foundation AI models and end-to-end products for enterprise AI systems. We are a global team of researchers, engineers, and designers passionate about our craft, with offices in Toronto, San Francisco, London, and more.