Top AI & Machine Learning Jobs

Lead client discovery and product strategy for AI-enabled products, align stakeholders, define value-driven roadmaps, and maintain product ownership through delivery. Coach and build the product/design practice, support presales and account growth, and embed AI-enabled workflows, governance, evaluation, and change management into client engagements and internal practices.

Open call for candidates to submit speculative applications to join LlamaIndex and help shape AI and document-understanding narratives. Company will keep applicants in mind for future roles and considers applicants with arrest and conviction records per San Francisco ordinance.

Own clinician-facing products that surface AI-gathered patient context, support decision-making, and reduce documentation burden. Partner with engineering, ML, clinical, and design teams to build explainability, review/override workflows, and measurable workload reductions. Validate workflows with practicing physicians and lead safety and escalation protocols with partners.

Build agentic, reasoning-driven systems on top of LLMs; own full-stack AI product features from prompt design to orchestration, tooling, monitoring, and UX. Prototype with design, run LLM evaluation and A/B tests, integrate emerging methods, and collaborate directly with founders and customers to deliver product-facing AI features.

The Machine Learning Engineer will propose technical initiatives, lead design discussions, translate challenges into plans, and uphold engineering standards.

The Senior AI/ML Engineer will build scalable AI systems, work with LLMs, optimize models, and deploy solutions using AWS while ensuring ethical standards.

The Applied Scientist will transform raw data into actionable insights by developing machine learning models for personalization, ranking, and optimization to enhance conversion and revenue. This role emphasizes building production systems, frameworks for experimentation, and communication with team members regarding technical challenges.

Design, prototype, and integrate generative AI solutions and agents across products. Collaborate with cross-functional teams to deploy, test, and optimize AI workflows, educate developers, and engage with the enterprise systems management community through webinars and content.

Leads design and development of AI/ML models for clinical data understanding. Responsible for entire model lifecycle and technical mentorship.

Serve as pre-sales technical lead for federal customers, architecting and deploying AI security platform in SaaS and airgapped environments. Lead discovery workshops, scope proofs-of-value, build demos and POC AI apps, integrate SDKs/APIs, advise on AI/ML security and MLOps, deliver demos and written deliverables, and support onboarding and troubleshooting with Customer Success.