Top Remote Machine Learning Jobs in Providence, RI

The Global Process Owner for S&OP leads the design and continuous improvement of the S&OP process, ensures collaboration across functions, and drives digital transformation and automation within the organization.

The Senior Applied AI/ML Scientist will lead the design and deployment of AI solutions, collaborate on impactful features, and enhance product capabilities by leveraging advanced AI and ML techniques.

The Machine Learning Engineer develops production ML algorithms and recommendation systems, collaborates with teams, and optimizes user experiences.

The Technical Program Manager will lead initiatives in Netflix's Cloud Infrastructure and AI Platform, focusing on scalability, reliability, and collaboration with engineering teams to execute impactful technical programs.

The Sr. Director of Revenue Enablement drives strategic sales transformation, develops enablement programs, integrates AI tools, and leads a team to improve sales outcomes.

Develop core AI features for an AI-native product, including building LLM features, developing benchmarks, and overseeing the full lifecycle of development.

The Director of Sales will lead enterprise infrastructure sales in healthcare, nurturing high-value prospects, and achieving revenue targets through strategic partnerships.

The Senior Product Marketing Manager will develop positioning and messaging for Cresta's Travel & Hospitality sector, leadership in market conversation, and go-to-market strategies to drive revenue growth.

Manage product strategies and development for AI/ML SaaS products, oversee full product lifecycle, collaborate with engineering, and implement complex pricing strategies.

Lead and manage a team developing ML models for self-driving vehicles, define motion planning projects, and collaborate with cross-functional teams to enhance performance.

Lead the development of advanced perception algorithms for self-driving vehicles. Collaborate and mentor engineers, optimize algorithms, and implement sensor fusion for robust perception systems.

The Technology Director leads technology strategy and delivery across client engagements, directly contributing to technical solutions, architecture, and hands-on production work while mentoring teams and representing technology in client partnerships.

Join a technology company to solve complex challenges in digital advertising measurement using data analysis, causal inference, and machine learning. Collaborate with clients and create insights from retail transaction data.

Lead the development and execution of ML-driven User Acquisition products, improving advertiser experience and managing product roadmaps in a fast-paced environment.

Lead the development of generative AI tools for fashion, guiding ML engineers, and implementing innovative AI systems and workflows.

As a Senior Machine Learning Engineer, you will enhance diffusion models, conduct research, collaborate on system implementations, and communicate findings effectively.

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

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

As a Senior Staff Machine Learning Engineer at Affirm, you will lead complex ML system design and implementation, mentor engineers, and drive innovative ML strategies for financial services.

Lead the ML Data Enablement team to define strategy and execution for accelerating third-party and internal data onboarding, enforce data quality and SLAs, build metadata and lineage standards, and deliver scalable data infrastructure and workflows to reduce time-to-production for ML models.

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.

Lead marketing data science efforts, overseeing analytics and machine learning strategies to enhance user acquisition, engagement, and retention. Mentor a team and communicate data insights to executives to influence marketing and budget decisions.

Manage technical programs for generative AI video models, translating research into milestones, coordinating teams, and ensuring successful execution across all phases.

The DS&ML Group Product Manager oversees Data Science and Machine Learning capabilities, defining strategic vision, managing product portfolios, and ensuring delivery aligned with business needs. Responsibilities include developing roadmaps, executing models, scaling functionalities, and mentoring a team.