Design and deliver production-ready AI solutions including machine learning, generative AI, and LLM applications.
Translate complex business needs into scalable technical architectures and implementation plans.
Guide clients and cross-functional teams through discovery, architecture, and adoption of AI systems.
This company partners with organizations to deliver AI and data transformation solutions. It fosters a collaborative, remote-first culture focused on innovation, inclusivity, and meaningful impact.
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.
Lead the development of AI and data-driven solutions to solve complex business problems.
Collaborate with cross-functional teams to integrate data science into digital experiences.
Drive innovation by applying advanced analytics and machine learning methodologies.
Valtech is an experience innovation company that partners with global brands to drive digital transformation. They foster a culture of creativity, diversity, and autonomy, with a global team committed to inclusion.
Build the data and model layer for an AI-enabled decision-support system, including ingestion, record matching, scoring, and generation.
Implement probabilistic matching, calibration, and retrieval-augmented generation in a controlled environment.
Ensure traceability, audit trails, and documentation for all data and model outputs.
DEFCON AI leverages AI, mathematical optimization, and data analytics for resilient optimization of complex systems. The team operates in a fully remote, results-based environment with a focus on innovation and collaboration.
Develop and iterate on underwriting prediction models using a mix of approaches for tabular and sequential data.
Build and scale feature pipelines and training datasets from proprietary and third-party signals.
Prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. The company is a remote-first, publicly traded organization with a strong culture focused on people come first.
Research and develop asset-backed trading strategies for battery storage systems using mathematical modeling and optimization techniques.
Optimize battery operations across multiple markets including ancillary services, wholesale, and imbalance mechanisms.
Build and maintain algorithmic trading frameworks in Python on AWS, including backtesting and parameter tuning.
YUSO is an innovative energy market participant supplying 100% green energy and battery storage solutions to boost the energy transition. The company focuses on innovation and automation, with a team of dynamic young professionals passionate about renewable energy integration.
Drive end-to-end ML systems for forecasting products, from scoping and feature engineering to deployment and monitoring.
Build AI-assisted development workflows using tools like Claude Code to automate tasks with quality gates.
Partner with cross-functional teams to translate business needs into technical roadmaps and measurable impact.
Penguin Random House is the world's leading trade publishing company, with nearly 300 imprints and brands. We are a diverse international community of nearly 300 publishing brands committed to quality and innovation.
Lead the scientific strategy for predictive toxicology and quantitative biology in drug discovery.
Develop advanced ML models using graph neural networks, transformers, and federated learning.
Collaborate with customers and partners to integrate AI solutions into real-world workflows.
The company is a partner of Jobgether, specializing in AI-powered solutions for life sciences and drug discovery. They are a remote-first organization with a highly skilled international team and a collaborative culture.
Build and optimize predictive models for nonprofit partnerships, tuning to each client's data.
Drive the data and quantitative side of a best-in-class prospect research tool using agentic AI.
Solve identity resolution, data quality, and large-scale data issues end to end.
Dataro is an ethically minded SaaS startup using machine learning to help not-for-profits raise more money. As a small, remote-first team, they value autonomy and collaboration with a focus on data-driven fundraising.
Design and implement end-to-end document intelligence pipelines on AWS, including ML model development for document classification and field extraction.
Build scalable data processing systems handling PDFs up to 2000 pages, and own features from research through production deployment and monitoring.
Collaborate with subject matter experts to refine requirements, establish evaluation frameworks, and ensure extraction accuracy.
Exadel is an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients including HBO, Microsoft, Google, and Starbucks. Our culture is defined by ambitious, collaborative, and constantly evolving people who lead with trust, respect, and purpose.