Top AI & Machine Learning Jobs

Build, configure, test, refine, and deploy customer-facing AI workflows in the BlueFlame platform. Discover and scope customer use cases, translate business processes into repeatable AI solutions, troubleshoot workflow issues, validate outputs, document results, and enable customer users. Partner with Customer Success, Implementation, Sales Engineering, Product, and Engineering to deliver solutions, provide technical guidance, identify reusable patterns, and support effective handoffs.

Architect and ship production AI agent systems and modeling infrastructure for regulated finance. Build Python/FastAPI tooling, distributed event-driven backends, validation/evaluation pipelines, and compliance/auditability features. Influence system architecture, mentor engineers, and ensure reliable, explainable AI outputs in production.

Supports the Data Science and Machine Learning team by analyzing large-scale datasets, identifying anomalies and root causes, developing data validation and normalization methods, and improving the accuracy of derived data products. The intern will evaluate models, translate ambiguous problems into statistical formulations, debug messy data, test hypotheses, and implement maintainable analytical solutions using Python, SQL, and distributed data platforms.

Build and deploy Palantir Foundry workflows, data pipelines, ontology models, AI/ML and LLM applications, RAG systems, and agentic workflows. Integrate enterprise systems, establish security and governance, identify automation opportunities, and partner directly with business teams to move prototypes into production. The role also measures adoption and ROI, develops reusable engineering patterns, trains stakeholders, and evaluates emerging AI tools.

Lead the development and production deployment of applied machine learning and LLM solutions across product, marketing, and operations. Own ranking, recommendation, filtering, personalization, experimentation, and model evaluation systems. Partner with business and technical teams to identify valuable use cases, establish modeling best practices, and ensure reliable production deployment. Manage and mentor applied ML practitioners while maintaining technical rigor, business alignment, and measurable customer and revenue impact.

Corti is seeking passionate individuals to join their talent community, shaping the future of healthcare through AI technologies. Opportunities include roles in AI technology, machine learning, and software development, focusing on reducing errors and improving patient outcomes.

Develop and integrate deep-learning computer vision and perception algorithms for autonomous vehicles. Responsibilities include managing data pipelines, designing and optimizing neural networks, defining performance metrics, leading long-term projects, communicating results, and aligning algorithms with product needs. The role requires strong computer vision, deep learning, mathematics, Python, and PyTorch expertise, with C++, Linux, Git, and research publications advantageous.

Develop and productionize AI/ML solutions for healthcare, focusing on multimodal LLMs, conversational AI, document understanding, search, and Q&A. Responsibilities include evaluating and fine-tuning models, building training data pipelines, managing the full ML lifecycle, deploying scalable solutions, troubleshooting integrations, documenting architecture, and ensuring HIPAA compliance. The role requires strong Python and PyTorch skills, experience with LLM training platforms and cloud ML services, and close collaboration in a fast-paced startup environment.

Build and deploy AI agents, analytical tools, and automated workflows for strategy, deal sourcing, market intelligence, CRM operations, due diligence, and executive decision-making. Collaborate with the CSO and cross-functional teams while contributing to Walden’s shared agent platform. Own agent feedback loops, evaluations, observability, optimization, and reusable infrastructure using modern LLM tools, Python, data engineering, APIs, and workflow automation.

Build AI agents that autonomously design, simulate, evaluate, and improve electrical and mechanical hardware from requirements through manufacturable outputs. Integrate CAD, EDA, and simulation tools; develop engineering representations, evaluations, datasets, feedback systems, and reproducible experiment infrastructure. Collaborate with electrical, mechanical, and manufacturing teams to ship agent-generated designs and measure improvements in design cycle time, hardware performance, and engineering effort.