Top Remote Machine Learning Jobs

Lead a multidisciplinary team to design, deploy, and optimize ML-driven bidding systems and measurement for a nine-figure marketing budget. Drive experimentation, partner strategy, media-mix optimization, and end-to-end measurement while aligning Marketing, Analytics, Engineering, and Product to improve marketing ROI and scale performance.

The role involves designing and implementing large-scale ML solutions for personalized music experiences, collaborating with cross-functional teams to enhance user interactions and fulfill music recommendations.

Oversee AI/ML project development, mentor teams, develop machine learning models, and promote AI solutions for healthcare optimization.

Lead design, development, and deployment of large-scale production ML systems and platform strategy. Research and prototype ML and big-data technologies, integrate ML services across the org, mentor engineers and data scientists, and communicate complex ML solutions to technical and non-technical stakeholders.

Design, develop, and deploy machine learning models and pipelines to optimize operations. Lead full ML project lifecycle, ensure model evaluation/monitoring, collaborate cross-functionally, mentor junior engineers, and drive continuous improvement in ML applications and processes.

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

As a Forward Deployed Machine Learning Engineer, you'll build and deploy machine learning models, enhance system performance, and collaborate with Data Science and Engineering teams for effective solutions.

Lead cross-functional data science projects for manufacturing, integrating equipment/process knowledge with analytics. Develop, deploy, and document ML and computer vision solutions within MES and IT/OT ecosystems, qualify automation systems, drive continuous improvement, mentor junior engineers, and present technical findings.

Lead end-to-end deployments of AI for hotel revenue teams: integrate PMS/CRS/RMS, ship ML/optimization models and agentic workflows, validate recommendations with revenue managers, define metrics, drive adoption, and hire/mentor the forward deployed engineering team.

Design, develop, train, evaluate, deploy, and monitor scalable AI/ML models to predict member outcomes. Perform EDA, feature engineering, data extraction with SQL/Python/R, ensure data quality and fairness, build CI/CD pipelines, containerize models (Docker/Kubernetes), and communicate results to non-technical stakeholders. Support model maintenance, logging/alerting, unit testing, and team best-practice initiatives.

Design, build, and ship production-grade AI and data solutions including LLM-powered applications, ML models, and APIs. Consult on architecture, own features end-to-end, support production, run design-thinking workshops, and collaborate across teams to deliver cloud-based, scalable data and AI capabilities.

Design, build, and ship production-grade AI and data solutions (LLM apps, ML models, APIs). Consult on architecture, own end-to-end features, support deployments, run design workshops, and collaborate cross-functionally to deliver cloud-based data and AI systems.

Design, build, and ship production-grade AI and data solutions (LLM apps, ML models, APIs). Consult on architecture, own features end-to-end, apply cloud and data engineering, lead design thinking workshops, and collaborate across teams to deliver measurable business impact.

Design, build, and deploy LLM-based ML solutions using LangChain, fine-tuning, and RAG. Write production-quality Python code (PEP8), containerize with Docker, use Git, test and document work, and apply traditional ML methods like XGBoost and K-means.

Design, train, and productionize underwriting ML models for real-time transaction decisions. Build feature pipelines and training datasets, run experiments, integrate models into batch/real-time systems, and monitor data and model health while collaborating with cross-functional teams.

As a Software Engineering Intern, you will contribute to building features for user-facing products, APIs, and scalable services for machine learning. Responsibilities include crafting code, designing data pipelines, implementing tools, and enhancing technical documentation.

The role involves building predictive models for blockchain performance and user behavior, implementing solutions, and owning production prediction pipelines.

Lead design and delivery of end-to-end revenue optimization products using forecasting, ML/reinforcement learning, and optimization. Partner with cross-functional teams to identify opportunities, prototype solutions, implement analytics, and support deployment while developing the analytics team and driving commercial impact.

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.

Develop novel AI approaches for healthcare using structured and unstructured data, build ML models, conduct experiments, and collaborate with stakeholders.

Develop AI approaches using structured and unstructured data, build ML models, perform statistical analysis, and collaborate with stakeholders and experts.

Senior individual contributor building and maintaining underwriting and credit decisioning ML systems for Cash App Borrow and Afterpay. Responsibilities include feature engineering, model training, calibration, experimentation, deployment, monitoring, and portfolio-level analysis. Collaborate with cross-functional teams to align models with business and regulatory goals and develop AI-native engineering workflows and governance for reliable, auditable model development.

Lead research on machine learning validation for robotics and autonomy systems, focusing on simulation, uncertainty modeling, and creating functional prototypes for testing.

Lead the machine learning strategy, design scalable ML systems, drive MLOps, mentor engineers, and comply with AI governance.

As a Senior Machine Learning Engineer, you'll design scalable AI/ML infrastructure, optimize model training performance, and collaborate with teams to implement advanced AI solutions.