Top AI & Machine Learning Jobs

Build and scale AI-powered GTM tools, automations, agents, and workflows for Sales, Marketing, Customer Success, and RevOps. Own automation products from discovery through adoption while measuring efficiency and pipeline impact. Develop and optimize automated outbound programs for North America, testing targeting, messaging, and GTM strategies with sales teams. Translate manual processes into scalable systems and bridge technical and non-technical stakeholders.

Develop spatial AI and perception systems for autonomous mobile robots operating in dynamic warehouses and yards. Train and evaluate models using real multimodal fleet data, improve 3D scene representations and state estimation, and develop evaluation methods. Take research concepts from literature through on-vehicle validation and productionization, collaborating with software and test engineering on data, annotation, calibration, monitoring, and simulation infrastructure.

Conduct research and algorithm development for federally funded multi-agent autonomy projects. Develop estimation, control, machine-learning, communication, and belief-management methods for agents operating under uncertainty and adversarial interference. Build reproducible POMDP and Dec-POMDP simulation environments, integrate computational components, evaluate methods through experiments, maintain research software and benchmarks, prepare publications and technical reports, and coordinate project activities with faculty and research personnel.

Provides scientific leadership across AI Studio engagements, setting quality standards, mentoring Applied Scientists, and evaluating AI solutions for scientific accuracy and reliability. The role governs external delivery partners, influences product and platform roadmaps, leads scientific feasibility assessments and strategic customer engagements, and builds external credibility through publications and thought leadership. Work focuses on applying AI to evidence-intensive research in pharmaceutical, biotech, materials science, and related environments.

Own the measurement and optimization of long-term value for discovery impressions on Faire’s marketplace. Build the LTV framework, define hypotheses and surrogate metrics, design long-horizon experiments, implement ranking experiments, and improve model accuracy for use across search, reorder, and advertising. The role requires production machine learning, causal inference, experimentation, statistical analysis, and data engineering expertise, along with strong cross-functional communication.

Supports the design, development, integration, and deployment of AI-powered applications, agents, and workflows. Builds LLM and RAG solutions, contributes to prompt libraries, evaluation tools, MCP integrations, and enterprise system integrations. Collaborates with senior engineers and business stakeholders to translate organizational needs into reliable software, while supporting monitoring, testing, issue remediation, and responsible AI adoption.

Designs, deploys, and optimizes machine learning solutions for large-scale data platforms, including identity resolution, anomaly detection, data quality, predictive modeling, and Generative AI applications. Leads data science research and platform improvements, manages ingestion and transformation into BigQuery, analyzes pipeline performance, and performs root-cause investigations. Partners with engineers, architects, privacy, product, and global stakeholders while mentoring team members and translating business needs into technical specifications.

Leads data and AI solution discovery, architecture, prototyping, and implementation for complex enterprise needs. Partners with customers and cross-functional teams to develop strategic roadmaps, agentic and generative AI solutions, and data-driven improvements. Mentors engineers, establishes best practices, reviews code, supports business development, and communicates technical value to stakeholders. The role requires hands-on AWS cloud-native delivery and expertise in large-scale data architectures, analytics, data management, and AI technologies.

Leads AI presales strategy, customer advisory, technical solution architecture, and team development. Translates business needs into AI use cases, prototypes, business cases, roadmaps, and repeatable offerings. Partners with sales, engineering, consultants, and technology vendors to support complex pursuits, executive briefings, demonstrations, proofs of concept, and AI business growth. Promotes responsible AI governance, tracks pipeline performance, develops thought leadership, and remains hands-on in high-impact customer engagements.

Leads firmwide adoption of AI tools in partnership with attorneys and paralegals. Translates legal workflows into scalable AI solutions, manages platform configuration, supports AI governance and risk practices, and develops communications and training programs. The role requires hands-on AI platform expertise, strong project management, legal workflow knowledge, stakeholder collaboration, and the ability to identify and address risks in AI-enabled legal work.