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.
Develop cutting-edge GenAI solutions incorporating the latest Databricks AI research to solve customer problems.
Own production rollouts of consumer and internally facing GenAI applications.
Serve as a trusted technical advisor to customers across a variety of domains.
Databricks is the Data and AI company, offering a unified platform for data engineering, analytics, and AI. With more than 20,000 customers including 70% of the Fortune 500, Databricks has 30+ offices globally and fosters an inclusive, collaborative culture.
Build a pipeline for parsing clinical documents and validating executable modules.
Design and refine a target syntax for representing guideline logic.
Run experiments across open and closed models, fine-tuning approaches, and constrained decoding.
They build a compiler that turns clinical guidelines into structured, executable decision logic for healthcare. The team is research-focused with production engineering stakes, working closely with clinicians and technical leadership.
Lead exploration and application of Large Language Models and Generative AI into core product lines.
Translate the latest research into high-performing systems that enhance customer experiences.
Collaborate with cross-functional teams to set strategy and deploy ML solutions with real business impact.
Replicant is the industry leader in voice AI for customer service, providing automated phone bots for enterprises like AAA and Fanatics. Founded in 2017, the company is backed by top-tier Silicon Valley investors, has offices in the SF Bay Area, Toronto, and New York, and maintains a distributed team across the US and Canada.
Owns the architectural direction for Code Metal's AI platform and the team building it.
Builds production-grade inference serving, model gateways, agent harnesses, and context-engineering services.
Instruments the stack end to end and drives experimentation and observability for reliable AI systems.
Code Metal provides automated software engineering using AI and formal verification to produce provably correct code. Founded in 2023 and backed by Accel, Salesforce Ventures, and others, it serves defense and enterprise customers from offices in Boston and San Francisco.
Build pipelines that parse clinical standards and transform them into executable modules using document and layout models.
Evaluate open and closed models, fine-tuning approaches, and constrained decoding strategies.
Develop datasets, benchmarks, metrics, and adversarial cases to assess clinical fidelity and correctness.
They build a clinical AI compiler that turns healthcare standards into validated, executable decision logic. The team is research-focused, collaborative, and works closely with clinicians to make recommendations traceable and reliable.
Develop AI-based biomarkers using multimodal data including whole-slide images, clinical variables, and molecular data to predict patient outcomes and treatment benefit.
Contribute to self-supervised foundation models and downstream ML models such as multiple-instance learning, survival analysis, segmentation, and classification.
Improve model robustness and interpretability across scanners, institutions, and patient populations to build clinician trust.
Artera is an artificial intelligence company dedicated to transforming cancer care by developing foundation models that analyze clinical and pathology data to guide therapy selection. They value diversity and collaboration, offering a supportive remote culture with unlimited PTO and equity as core compensation.
Design, scale, and deploy production-ready computer vision and ML architectures for satellite imagery.
Lead full-lifecycle model R&D from data curation through training, validation, and error analysis.
Drive model robustness across challenging real-world conditions and optimize AWS GPU workloads.
BlackSky is a real-time intelligence company that operates a space-based intelligence platform providing satellite imagery, automated analytics, and monitoring for national security and commercial customers. Its global team is people-first, customer-focused, and works with cutting-edge technology to deliver foresight and strategic advantage.