Top Machine Learning Jobs in Providence, RI

Student internship supporting IT: troubleshoot hardware/software/network issues, configure devices, maintain documentation and asset inventories, assist with upgrades, monitor security alerts, support IT projects (migrations, cloud integrations, automation), and ensure policy compliance.

Drive GTM analytics for Marketing and Sales by building multi-touch attribution, improving funnel conversion, maintaining reliable BI dashboards, automating reporting with AI, and delivering actionable revenue insights to optimize spend and pipeline health.

Lead development and execution of data-driven audit strategies for insurance and PBM clients. Analyze large datasets, design analytics solutions, create dashboards, perform statistical profiling and sampling, ensure regulatory compliance, manage project budgets and client communications, and coach junior staff to improve examination efficiency and effectiveness.

As a Senior Data Scientist at Ensemble, you will develop advanced AI and machine learning models, focusing on generative AI and predictive analytics to improve healthcare outcomes.

The Senior Machine Learning Platform Engineer will build foundational components for ML models, mentor junior engineers, and optimize streaming pipelines. Responsibilities include enhancing ML infrastructure and ensuring data quality.

As a PhD Systems & AI/ML Research Intern, you'll work on infrastructure problems, build prototypes, run benchmarks, and document findings.

The Senior Machine Learning Engineer will design, implement, and optimize machine learning models, drive AI initiatives, and collaborate cross-functionally to enhance SailPoint's AI capabilities.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Sell Signifyd's Commerce Protection Platform into enterprise eCommerce accounts. Own full sales cycle with Sr. AE, drive pipeline, close $200K+ ACV deals, prospect outbound, engage C-level stakeholders, partner cross-functionally, travel for onsite meetings and events, and maintain SFDC.

As a Machine Learning Engineer, you'll evaluate neural network quality, coordinate with researchers, manage experiments, and report results to streamline AI software development.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

This role involves identifying partnership opportunities within the AI ecosystem, developing strategies, negotiating agreements, and measuring pilot success metrics. You will work closely with product and engineering teams to align partnerships with growth priorities.

The role involves leading a team to design, develop, and implement AI-driven applications on the ServiceNow platform while managing all aspects of application development and integration with other systems.

Join Trexquant as a Global Alpha Researcher to develop trading signals, implement research, and apply machine learning for alpha discovery.

Lead the Attack Detection team at Abnormal AI, focusing on developing high-recall machine learning detection engines and automating model retraining pipelines.

Lead the Data Science team, overseeing the development and deployment of ML solutions, managing analytics workflow, and collaborating with cross-functional teams.

The Research Scientist at Yahoo will design machine learning solutions, analyze data, and collaborate with engineering teams to implement research results.

Senior leader responsible for designing and operating Fidelity's global sanctions program, ensuring OFAC and parallel-regime compliance, driving strategy, governance, technology-enabled screening and analytics, regulatory engagement, and leading a global sanctions team to mitigate enterprise sanctions risk.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

The Director of AI will lead enterprise AI strategy, define architecture, evaluate AI platforms, ensure governance, and enhance digital workflows across various business functions to improve operational efficiency.

Lead the Revenue Optimization team for Netflix's ad business, focusing on optimization algorithms and collaboration with various stakeholders to enhance advertising systems.

As a Senior Data Scientist, you will leverage statistical modeling and machine learning to optimize ad-related projects, collaborating with various teams to drive impactful product decisions and metrics measurement.

The Associate Principal leads Data & AI business development, managing client relationships and driving market strategies to exceed client expectations.

Lead TELUS Digital's Google CES initiatives, managing team performance, delivering AI-powered customer engagement solutions, and ensuring client satisfaction while driving innovation.