Top Machine Learning Jobs
The Staff Machine Learning Engineer will enhance batch inference services and tooling for financial crime detection, work on infrastructure for model development, and lead AI/ML initiatives within Cash App. Responsibilities include collaborating with various teams, developing prototypes, and driving strategic roadmaps.
The Senior Machine Learning Engineer will design and build services for ML modelers, integrate data streams to create efficient models, and lead MLOps initiatives. The role involves collaborating with various teams to enhance ML tools and infrastructure while maintaining production software and developing new solutions.
As a Senior Applied Scientist at Chewy, you will lead the deployment of machine learning and data science to enhance shopping experiences, develop new models, and influence product and engineering strategies. You will mentor junior scientists and present research findings to business leaders.
The Director of Machine Learning Operations will lead the ML Ops team to develop, implement, and oversee machine learning strategies. Responsibilities include managing ML infrastructure, deploying models, ensuring performance and scalability, and collaborating with cross-functional teams to integrate ML solutions into the advertising technology platform.
Lead a team of machine learning engineers in developing a personalized video recommendation engine. Responsibilities include defining system architecture, conducting A/B testing, performing design reviews, and optimizing performance metrics to improve the recommender system.
The Machine Learning Engineer will focus on enhancing search relevance and personalization on Instacart's platform by developing and optimizing machine learning models. Collaboration with cross-functional teams is vital to create scalable solutions while also contributing to research and thought leadership.
As a Sr. Machine Learning Engineer, you will leverage large-scale computation and machine learning to enhance customer products. You will oversee dataset analysis, lead model development, manage ML Ops, and communicate complex issues effectively while fostering a collaborative environment for improved user experiences.
As a Machine Learning Strategist at JPMorgan Chase's Machine Learning Center of Excellence, you will integrate business development with technical expertise in AI/ML, identifying new product opportunities while optimizing stakeholder communication and project management.
Featured Jobs
As an Applied AI ML Director, you will lead efforts in developing ML components, providing expertise in ML algorithms, optimizing workflows, and collaborating on innovative projects. Your role involves a deep understanding of ML techniques and contributions to advanced methodologies in machine learning.
The Data Scientist III (ML Engineering) will focus on building machine learning solutions to enhance Cedar’s healthcare payment platform. Responsibilities include conducting deep data analyses, developing and optimizing ML-powered features, building and optimizing data pipelines, and measuring model performance for continuous improvement.
The Staff Machine Learning Engineer will design, build and productionize machine learning models to tackle business challenges, collaborate with product managers and engineers, maintain high code quality, and research emerging technologies. They will also share knowledge through presentations and discussions.
As a Senior Machine Learning Engineer at Rokt, you will design and build machine learning models to tackle various business challenges, work on user targeting, segmentation, and dynamic ad content generation, and mentor team members while collaborating closely with cross-functional teams.
As a Machine Learning Engineer II at Remitly, you will develop models to assess risks in financial transactions, collaborating with engineers and data scientists to enhance fraud detection efforts. You'll build machine learning models and ensure they operate effectively within the company's infrastructure.
As the Head of AI, you will define and lead the long-term vision for AI at Remitly, overseeing teams that build machine learning applications. You'll partner with various leaders to scale AI opportunities and drive adoption of best practices, thereby enhancing customer experience and business profitability.
As a Machine Learning Engineer, you will build and manage model pipelines, scale ML algorithms, implement ML Ops, and ensure quality deliverables. You'll collaborate with teams to deliver projects and conduct research on new architecture patterns and technologies.
The Samsara ML Experience team is looking for an Applied Scientist to develop ML solutions that enhance the safety, efficiency, and sustainability of physical operations. Responsibilities include driving new ML initiatives, staying connected to industry and academic research, designing and optimizing services, and championing Samsara's cultural principles.
As a Machine Learning Researcher at Citadel Securities, you will apply advanced machine learning and AI techniques to analyze datasets, back-test models, and document your findings. Your work will contribute to developing innovative trading strategies in a fast-paced environment.
Design and build the next generation library for deep learning within the firm. Empower researchers to iterate faster and perform experiments that were not possible before. Work with HPC experts to optimize workflows and deliver improvements in training speed and cost savings.
As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, scale algorithms for massive data sets, and enhance ML platforms. Your responsibilities include implementing ML Ops, writing production-ready code, collaborating with teams, and researching new technologies.
As a Machine Learning Engineer at ZS, you'll develop and maintain ML models, implement MLOps, scale algorithms for large datasets, and collaborate with teams to ensure high-quality deliverables. Your responsibilities include building model pipelines, writing production-ready code, and exploring new technologies to innovate AI solutions.
The Senior Machine Learning Engineer at Samsara will be responsible for developing ML solutions to enhance the safety, efficiency, and sustainability of physical operations. This remote position requires working closely with engineering teams to deliver core infrastructure and services.
As a Principal ML Infrastructure Engineer, you will define and drive the technical vision for Thumbtack's ML infrastructure, lead cross-functional initiatives, architect scalable ML systems, establish engineering standards, mentor teams, and align infrastructure capabilities with business objectives.
As a Machine Learning Engineer, you will design, implement, and maintain large-scale AI/ML pipelines, tune and evaluate models, and develop evaluation frameworks and metrics. Your role includes building and evaluating deep learning models and transformer-based models, working collaboratively within an AI engineering team.
As a Senior AI Engineer, you will design, implement, and maintain large-scale AI/ML pipelines, focusing on training and tuning deep learning models and evaluating large language models while working on data collection and feature engineering.
.jpg)
As a Senior Machine Learning Engineer, you will design, develop, and deploy advanced computer vision models for applications like object detection and video analytics. You will optimize models for performance, mentor junior members, and collaborate with cross-functional teams to deliver scalable end-to-end solutions.
Popular Job Searches
All Data & Analytics Jobs
Analysis Reporting Jobs
Analytics Jobs
Business Intelligence Jobs
Data Engineer Jobs
Data Science Jobs
Machine Learning Jobs
Data Management Jobs
Business Analyst Jobs
Business Systems Analyst Jobs
Compliance Analyst Jobs
Data Analyst Jobs
Database Administrator Jobs
GIS Analyst Jobs
Machine Learning Engineer Jobs
Research Associate Jobs
Supply Chain Analyst Jobs
Systems Analyst Jobs
All Filters
No Results
No Results
