Develop tools and automate manual processes to improve operational efficiency and accelerate experimentation.
Build, integrate, and monitor end-to-end lifecycles of large-scale distributed machine learning systems.
Enhance ML pipelines for forecasting platforms with automated retraining and deployment.
Apella applies computer vision and machine learning to improve the standard of care in surgery. They are a remote-first startup focused on building reliable ML solutions for healthcare.
Design and write high-performing scalable software for training models.
Develop new tools to support and accelerate research and LLM training.
Collaborate with engineering teams and scientific teams to implement experiments on cluster and data infrastructure.
Cohere is a security-first enterprise AI company building cutting-edge foundation AI models and end-to-end products for real-world business problems. The company is a global team of researchers, engineers, and designers passionate about AI, headquartered in Toronto with offices worldwide.
Build and scale ML infrastructure and tools to support AI-driven genetic medicine research.
Partner with scientists and engineers to translate research prototypes into robust systems.
Optimize model training and inference performance using advanced computing frameworks.
Dyno Therapeutics is building high-performance genetic technologies to transform patient lives. Their team unites world-class experts at the intersection of AI and genetic medicine.
Provide technical ownership for applied AI and data science initiatives across Sonatype, helping define approaches, architecture, priorities, and standards.
Lead complex AI projects from concept to production—translating ambiguous business and technical problems into measurable experiments and scalable solutions.
Act as a senior internal AI consultant to product, engineering, security, and research teams, helping identify high-value opportunities and advising teams on ML and GenAI approaches.
Sonatype is the software supply chain management company that invented componentized software development and pioneered the software supply chain category. Trusted by more than 2,000 organizations and over 15 million developers, we are committed to constant innovation using AI/ML.
Design, develop, and refine ML models using Python and frameworks like TensorFlow or PyTorch.
Analyze large datasets and manage data with MongoDB for model training and validation.
Collaborate with cross-functional teams to improve model performance and document workflows.
The client is a venture-backed AI company that combines human expertise with machine learning to help build and evaluate cutting-edge AI models. They have raised over $40 million and are building a global network of experts with a focus on innovation and impact.
Embedded with client teams to solve real business problems and ship working software.
Scope and design technical solutions, building production tools end to end.
Work directly with client stakeholders, translating ambiguous asks into shipped features.
AiStudio is an AI consultancy that embeds engineers directly inside portfolio companies of leading private equity firms to build production AI solutions that move real metrics. The company has a bias toward outcomes and ships code that drives cost savings, automation, and revenue.
Develop and evolve the internal developer platforms that support development across Abnormal.
Own high-leverage projects across CLI tooling, CI/CD, shared libraries, and test infrastructure.
Shape abstractions and workflows that are AI-native, consumable by both humans and AI agents.
Abnormal protects the humans behind the world's most critical organizations from AI-powered cybercrime. The company serves over 4,500 enterprises and fosters an inclusive culture as an equal opportunity employer.
Architect and build Quince's proprietary supply chain planning platform from the ground up, including AI-native features and operator tooling.
Partner with data science and business stakeholders to translate forecasting models into production systems.
Set technical direction and lead a small team to deliver scalable, AI-augmented infrastructure.
Quince is a direct-to-consumer company that offers high-quality essentials at low prices through just-in-time manufacturing and AI-driven retail. The company serves millions of customers and is rapidly scaling with a focus on quality, simplicity, and transparency.
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 and own the model serving infrastructure, real-time inference, feature retrieval, and the latency budget that governs both.
Build the deployment path for data scientists to ship models, including bring-your-own-model support.
Own models in production: monitoring, drift detection, retraining, incident response, and the on-call rotation.
Sardine is the leading agentic risk platform for fighting financial crime. We are a remote-first company with hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo, hiring talented individuals with extreme ownership and high growth orientation.
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, build, deploy, and maintain scalable machine learning and AI systems in GCP to solve complex business problems and create new value.
Partner across teams to understand problem definitions, data needs, and solution approaches, and support model deployment with MLOps practices.
Take ownership of production issues, perform root cause analysis, and improve documentation and quality assurance processes for ML systems.
General Mills makes food the world loves, operating across 100+ markets. As a large company, it prioritizes being a force for good and fosters a culture of bold thinking and big hearts, where employees challenge each other and grow together.
Build the environments and verifiers our models train against
Own the synthetic data pipeline, from generation through quality gates
Ship models into production and keep improving them on real usage
LiveKit builds the infrastructure layer for the voice-driven era of computing, enabling developers to build, deploy, and scale voice AI applications. Founded in 2021, they power voice AI for major companies and have a small, senior team that values craft and creativity.
Taking ML or LLM proof-of-concept to production for large enterprises.
Designing and hardening data and training pipelines for enterprise ML systems.
Building LLM and RAG systems with retrieval quality, evaluation and cost control.
Janea Systems (USA) is a dynamic team of the best & brightest software engineering specialists and solutions innovators from around the world. From kernel to cloud, we provide high-impact software development services to Fortune 500 companies.
Own the full ML delivery lifecycle from data discovery to deployment, monitoring, and retraining.
Build forecasting and detection models robust to real-world data quality issues and defend tradeoffs.
Maintain client-facing presence and feedback loop, shipping usable capability like FastAPI, React, or scheduled jobs.
We accelerate positive impact in critical industries through AI transformation, specializing in physics-informed ML and enterprise AI solutions for climate and sustainability. We're a fast-growing, profitable public benefit corporation founded in 2024, working with category leaders in real estate, energy, logistics, and utilities.
Architect and develop robust, end-to-end machine learning solutions, managing the complete ML lifecycle from development to production.
Collaborate closely with data engineers and data scientists to create highly scalable solutions and integrate them across the software development life cycle.
Evaluate cloud solutions for performance and cost-efficiency, and communicate technical concepts clearly to stakeholders and teams.
Coderio designs and delivers scalable digital solutions for global companies, combining strong technical expertise with a product mindset to lead complex software initiatives end-to-end. They work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence.
Integrate and deploy automated event-tagger into production pipelines, running and monitoring tagging tasks at scale across petabytes of vehicle log data.
Build and maintain data engineering pipelines that organize, structure, and catalog tagged scenario data into the observations database.
Own CI/CD using GitHub Actions, write production code in Python, and operate on Databricks and AWS infrastructure.
Torc is an autonomous driving technology company that develops software for automated trucks. Founded in 2007 and now part of Daimler, the company has a collaborative culture and offers competitive benefits.
Build and deploy AI-enabled applications and enterprise solutions using Python, Azure, and LLM APIs.
Integrate AI workflows with Microsoft 365, SharePoint, and enterprise data systems.
Implement security controls, testing, and CI/CD processes for production-ready AI solutions.
Atlas Technica provides IT management, user support, and cybersecurity for hedge funds and investment firms. Founded in 2016, the company has grown through a focus on service and values ownership, execution, growth, intelligence, and camaraderie.
Contributes to existing code repositories following Git best practices and communicating clearly with the team.
Builds data pipelines and develops ETL processes feeding AI agents and downstream applications.
Develops front-end interfaces for internal applications and supports machine learning models for computer vision and forecasting.
We help large enterprises transform the potential of AI into real business impact. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact.
Build and maintain evaluation pipelines and environments for AI model benchmarks.
Prepare and maintain benchmark datasets, ensuring reproducibility and consistency.
Develop analysis tools and leaderboards to track model performance over time.
Office Hours is an on-demand expert network that connects leading organizations with trusted experts across various knowledge domains. We're a hyper-growth and profitable company, quickly expanding our expert network, launching new offices, and new products.