Top Remote Machine Learning Jobs in Little Rock, AR

Design and scale systems for personalization and ranking using ML. Mentor engineers and lead initiatives in a consumer-focused environment, leveraging AI tools.

As an AI Tutor - Python, you'll review AI-generated Python code, write solutions, and provide explanations to enhance AI model training.

The Staff Platform Manager will define product vision and strategy for post-transaction payment flows, enhancing customer experiences while managing risk and compliance.

Lead the development of AI-powered cybersecurity solutions, manage AI engineering teams, and oversee MLOps practices to enhance product security and efficiency.

The Senior Product Marketing Manager will develop strategies, create messaging frameworks, and produce marketing materials to effectively communicate Socure's value in the identity verification and fraud prevention market while collaborating with cross-functional teams.

As a Business Operations Associate, you'll aid in data-driven decision-making and collaborate with teams to enhance customer acquisitions and operational efficiency.

Research Engineer will conduct Machine Learning research to enhance localization and global entertainment, focusing on ASR, Speaker Diarization, and Audio Understanding.

Design and implement scalable machine learning pipelines, mentor junior team members, ensure deployment standards, build CI/CD pipelines, and establish best practices for ML systems.

The Business Development Senior Director will lead commercial efforts, build relationships with biopharma partners, and manage the full sales cycle for high-value deals.

The AI Executive Partner provides strategic advisory support to C-Suite members, leveraging AI to drive organizational outcomes and build relationships while managing member engagements.

As a Strategic Account Manager, you will drive growth and expand Quantiphi's footprint in the utility sector by managing client relationships and delivering AI, data, and cloud solutions.

The Product Manager will lead a pod to enhance primary care workflows using Counterpart Assistant, focusing on metrics, user experience, and product strategy to improve patient outcomes.

As a Research Scientist, work on connecting theoretical models with experiments in condensed matter theory, collaborating with scientists and engineers.

As Senior Director of Product Management, you will guide the vision and delivery of DealCloud for Legal, enhancing its applications for law firms by collaborating with stakeholders and leading a product development team.

Lead the Content Representation Models team at Netflix, advancing media and metadata representation, ensuring production excellence in embedding pipelines, and driving cross-functional adoption of ML capabilities.

The Data Scientist L6 leads the technical strategy for Netflix's Games Portfolio Team, focusing on forecasting, metrics ecosystems, audience insights, and model development while mentoring team members and ensuring production-grade data products.

Responsible for designing and scaling systems for go-to-market operations, implementing low-code workflows and AI-driven processes, and ensuring efficient cross-functional collaboration.

Lead the ML and AI engineering team, strategizing and implementing AI solutions for business growth, mentoring staff, and collaborating across departments.

The Vice President of Product Development drives technological innovation for literacy products, overseeing development, DevOps, and strategy while enhancing collaboration across teams.

The Engagement Principal is responsible for the deployment of Aera solutions, managing client relationships, project delivery, and contributing to sales cycles, ensuring successful implementation and value delivery.

Lead research on large language models to address healthcare challenges, collaborating with teams to enhance model performance and ensure real-world applicability.

The role involves building computer vision models, researching deep learning methods, handling large datasets, and implementing MLOps best practices.

Build and optimize machine learning models for 3D dental applications, research state-of-the-art methods, and implement MLOps best practices.

Dandy seeks a Machine Learning Engineer to develop 3D computer vision models using SOTA methods, collaborate with product teams, and implement MLOps pipelines.

You will lead and mentor engineers while driving the development of solutions for autonomous vehicles using Machine Learning and software engineering principles.