Top AI & Machine Learning Jobs

Develop and validate ML and deep learning algorithms for neural time-series and neuroimaging data. Perform signal processing, neural signal decoding, and collaborate with scientists, engineers, and physicians to deploy AI-driven neurology tools.

Own and build the policy framework and runtime for an underwriting AI agent: author configurable, testable policies, create evaluation datasets and harnesses, maintain agent orchestration and guardrails, and lead/mentor engineers to ship reliable, production agentic systems.

Build and ship AI-driven features for post-sales workflows; prototype quickly; develop platforms for prompt execution, search infrastructure, and LLM observability; create AI evals and scorers; own projects end-to-end and collaborate with PMs, designers, and engineers.

As an Applied AI Engineer, you will develop full-stack AI features, improve AI infrastructure, and work with LLM APIs in a fast-paced fintech environment.

As a Senior Software Engineer focused on AI agents, you'll develop core agent architecture, handle complex workflows, and work with large sales data to automate processes and support the sales cycle.

Lead end-to-end product areas for an AI-powered tax platform: discover, define, build (including committing code), and launch. Work directly with accounting firm users, track goal-based metrics, manage integrations and competitive analysis, and collaborate with engineering, design, and GTM to ship weekly.

The Principal Product Manager will drive AI product strategy, translating industry knowledge into structured workflows, focusing on AI agent integration and autonomy models.

Design and implement novel architectures for automated research, collaborate on advanced AI research, and publish key findings.

As a ML Engineer at Apiphany, you will develop advanced machine learning models, focusing on engineering data, AI systems, and real-world performance.

The role involves developing machine learning models for robotics in medical imaging, collaborating with engineers and clinicians to prototype and deploy systems for autonomous surgical interventions.