Top AI & Machine Learning Jobs

Lead and grow a team of Forward Deployed Engineers (FDEs) to scope technical data programs, design pipelines and measurement, write instructions, and ensure data quality. Own hiring, onboarding, staffing, craft standards, tooling for reuse, and cross-functional alignment to keep FDEs focused on high-level technical work and career development.

Design and implement extraction, chunking, vector indexing, and semantic retrieval pipelines for LLMs. Optimize hybrid search, reranking, and RBAC-enabled metadata filtering. Ensure HIPAA/HITRUST-compliant handling of PHI, build evaluation frameworks for retrieval groundedness, and collaborate with architects and developers to deliver context services and hand off validated prototypes.

The Senior AI Engineer will implement AI solutions, consult stakeholders, lead projects, and ensure integration of cutting-edge AI technologies to meet business goals.

Responsible for developing high-throughput assays, generating biological data, and collaborating with multidisciplinary teams to enhance AI models for therapeutic molecule design.

The Machine Learning Researcher at Virtu will develop and implement innovative deep learning models to solve complex market problems, collaborating with cross-functional teams and directly impacting business outcomes.

Lead the technical direction of AI agents, managing context and workflows while partnering with teams to align AI initiatives with business goals. Oversee architectural decisions and mentor engineers in AI practices.

Lead hardware-software co-design to enable AI/HPC and agentic AI stacks on RISC-V CPUs. Integrate and optimize low-level kernel infrastructure, runtimes, distributed execution, memory systems, and developer tools, collaborating with architects, compiler engineers, and kernel developers to meet performance targets.

Serve as Monk’s first Sales Engineer, partnering with enterprise finance customers to assess technical fit, design AR workflow solutions, build tailored proofs of concept, and implement integrations. Prototype and ship agentic AI and financial products while translating customer pain points into scalable technical solutions. The role requires deep full-stack TypeScript development, modern web infrastructure expertise, strong product judgment, customer empathy, and autonomous ownership in an in-person NYC environment.

Lead presales for data and AI initiatives: design and present Microsoft Fabric-based data platforms, run discovery and AI workshops, scope proposals, translate technical designs into business value, mentor delivery, and support go-to-market and thought leadership.

As an AI Product Engineer, you'll develop AI-driven software solutions, collaborate with teams, and ensure high quality and performance of products.