Lead the end-to-end machine learning lifecycle, from data preparation and model training to evaluation, inference, and deployment.
Build and optimize scalable training, fine-tuning, and inference pipelines for large-scale models on GPU infrastructure.
Establish production best practices for model quality, reliability, safety, and measurable performance improvements.
This company builds production-grade machine learning systems and large-scale GPU-powered inference pipelines. It is a fully remote team that values technical rigor, collaboration, and hands-on engineering.
Own end-to-end ML systems from data and training to evaluation, inference, and deployment.
Build and evolve training, fine-tuning, and inference infrastructure for large models.
Partner with research and application engineering to turn model capabilities into product improvements.
Next Step Systems is an IT recruiting and staffing agency that connects companies with machine learning and technology talent. They specialize in placing candidates in remote and on-site roles across the United States and emphasize a fast-paced, results-oriented culture.
Build core machine learning systems that power a proactive, long-horizon AI product.
Own work end-to-end, from data preparation through training, evaluation, inference, and iteration.
Debug model failures using production signals and iterate quickly to ship reliable systems.
Gina's Tech Jobs is an IT recruiting and staffing agency that connects companies with technology professionals. They help organizations hire for roles such as machine learning engineers and other IT positions across the United States.
Implement new features across frontend/backend boundaries.
Troubleshoot production issues and identify/ship fixes.
Collaborate with engineers and designers to maintain a large codebase.
General Dynamics Mission Systems 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, the company values trust, honesty, alignment and transparency.
Design, develop, and maintain complex software systems with a focus on Java and modern engineering practices.
Mentor less experienced engineers and participate in design and code reviews to ensure high-quality, scalable applications.
Translate product requirements into robust designs and assist with application system support needs.
Mercury Insurance is an insurance company dedicated to helping people reduce risk and overcome unexpected events. They are a midsize employer recognized as one of America's Best Midsize Employers for 2026, with a culture that values growth, diversity, and teamwork.
Define and implement end-to-end test strategies for Databricks pipelines, dbt models, Delta tables, APIs, and downstream analytical products.
Build maintainable automation frameworks using Python, PyTest, SQL, and dbt tests to validate Bronze-to-Silver-to-Gold transformations.
Embed automated quality gates into CI/CD pipelines and promote shift-left testing and data-quality best practices.
Coforge is a global IT services company delivering digital transformation and technology solutions. With a diverse global team, they hire professionals based solely on skills and foster an inclusive, non-discriminatory culture.
Implement embeddings, vector storage, and retrieval across a large, provenance-tracked evidence base.
Integrate language models so generated text is bound to cited source records, and test for citation failures.
Own prompt and output-schema design, model packaging, versioning, serving, and rollback.
DEFCON AI is an insights company that leverages artificial intelligence, mathematical optimization, data analytics, and software engineering to build resilient optimization systems for complex operations. The company offers a fully remote, results-based environment with a focus on production systems and a strong benefits package.
Own the technical vision and architecture for cresta.com, including CMS evolution, component systems, and localization infrastructure.
Develop, configure, and deploy custom AI agents on Cresta's platform for marketing use cases, taking them from prototype to production.
Partner with brand, design, and marketing ops to instrument GTM stacks and ship SEO/AEO programs with solid engineering practices.
Cresta unlocks the potential of customer experience by using an AI platform with conversational agents, human augmentation, and conversation intelligence. Founded from Stanford AI Lab with over $270M in funding, the company works with leading enterprises and is driven by a culture of innovation and AI-native thinking.