Build, train, and improve production-ready machine learning models while developing evaluation and feedback loops. Collaborate cross-functionally to implement ML-powered capabilities and establish tooling for monitoring model quality.
Remote Machine Learning Jobs (672)
Search = machine learning
Job category = Software Development
Manager, Predictive Modeling and Machine Learning
Credit Acceptance
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Full Time
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4 Weeks Ago
Credit Acceptance
Lead the design and deployment of predictive models for credit risk, collections, and business operations. Mentor junior data scientists and present strategic insights to senior cross-functional stakeholders.
Mid-Level/Senior Analyst, Predictive Modeling and Machine Learning
Credit Acceptance
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Full Time
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4 Weeks Ago
Credit Acceptance
Design, develop, and monitor statistical and machine learning models to support strategic business decisions across credit risk, collections, and marketing. Translate complex business challenges into analytical solutions and communicate findings to stakeholders to deliver measurable value.
Senior Machine Learning Engineer (Infra), Driver Understanding and Evaluation
Waymo
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Full Time
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4 Weeks Ago
Waymo
Build and operate scalable machine learning systems and simulation workflows to evaluate autonomous driving behaviors. Design large distributed systems covering the ML lifecycle, from planet-scale dataset generation to model training and evaluation.
Oversee data scientists and ML engineers to ensure the development of safe, compliant, and fair AI products. Lead the technical direction of the Responsible AI team and collaborate with cross-functional partners to move projects from proof-of-concept to production.
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Lead Director - Artificial Intelligence, Machine Learning and Data Engineering
CVS Health
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Full Time
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4 Weeks Ago
CVS Health
Lead the strategy and delivery of enterprise AI platform capabilities and reusable data products to enable scalable AI/ML adoption. Oversee high-performing engineering teams to establish operational standards for agentic systems and data modernization.
VP of Research, Machine Learning (ML), Artificial Intelligence (AI) Required, Work From Home
Next Step Systems
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Full Time
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4 Weeks Ago
Next Step Systems
The VP of Research will lead the intelligence direction of the system, defining how AI reasons, evaluates, and improves. They will oversee model architecture decisions, evaluation frameworks, and the overall alignment and safety strategy.
Member of Technical Staff, Machine Learning, Artificial Intelligence (AI) Required, Work From Home
Ginas Tech Jobs
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Full Time
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4 Weeks Ago
Ginas Tech Jobs
Build and improve core ML components across data, training, evaluation, and inference for real production systems. Debug model issues and iterate on features based on real-world user feedback and production constraints.
Principal Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home
Ginas Tech Jobs
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Full Time
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4 Weeks Ago
Ginas Tech Jobs
Architect and build large-scale ML systems covering training, inference, and deployment. Set technical standards for ML infrastructure and optimize GPU performance for production-grade systems.
Machine Learning Technical Lead, Artificial Intelligence (AI) Required, Work From Home
Ginas Tech Jobs
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Full Time
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4 Weeks Ago
Ginas Tech Jobs
The role involves translating research into scalable, production-grade ML systems and owning the end-to-end execution of data pipelines and inference architecture. You will be responsible for fine-tuning models and optimizing GPU performance to ensure reliability and low latency in real-world products.
Senior Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home
Ginas Tech Jobs
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Full Time
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4 Weeks Ago
Ginas Tech Jobs
The role involves building and owning critical machine learning subsystems from data preparation to production deployment. You will collaborate cross-functionally to turn research ideas into scalable, reliable AI products while mentoring other engineers.
Staff Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home
Ginas Tech Jobs
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Full Time
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4 Weeks Ago
Ginas Tech Jobs
Own the end-to-end execution of ML systems, translating research into scalable production-grade solutions. Responsible for data pipelines, model fine-tuning, and optimizing inference systems for latency and cost.
Own the strategy, roadmap, and delivery of predictive and prescriptive machine learning products to optimize global supply chain operations. Establish AI governance, build the internal ML practice, and ensure data readiness for scaled production solutions.
Develop and integrate ML, NLP, and Generative AI models to build AI-powered workplace assistants. Create agentic workflows and LLM-powered solutions while collaborating with engineering and product teams.
Lead and grow a small team of AI software engineers while remaining hands-on in coding and system design. Develop GenAI-powered solutions and agentic LLM patterns to automate complex tasks and improve business efficiency.
Senior Machine Learning Systems Engineering Manager - AI & ML Platform
Atlassian
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Full Time
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4 Weeks Ago
Atlassian
Lead the AI & ML Platform team to build and run infrastructure that supports generative LLMs, model serving, and data training. Focus on coaching engineers, driving technical standards, and collaborating with stakeholders to influence the platform's strategic direction.
Design and develop innovative ML solutions to enhance promotional writing and content discovery for Netflix members. Lead end-to-end development from research and model training to integration into business platforms.
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Lead the Employer Agents Team to develop AI-driven agentic solutions and LLM-based evaluation capabilities to redefine the hiring journey. Drive technical direction, manage major workstreams, and mentor other engineers while improving LLMOps reliability.
Set the technical strategy for the ML roadmap and lead the development of production systems for the Piai claims-intelligence platform. Provide technical leadership and mentorship to the ML team while bridging the gap between research and shippable products.
Design, deploy, and maintain production-grade machine learning models and pipelines using healthcare and pharmacy data. Implement MLOps best practices and ensure all systems comply with HIPAA and internal data governance regulations.
Lead the design and deployment of advanced real-time ML models to detect financial crime and suspicious user behavior. Provide technical leadership and mentorship within the ML discipline while collaborating with cross-functional product squads.
Lead the development and deployment of advanced ML models to enhance search and discovery for the Monzo Co-pilot. Act as both a technical leader and individual contributor to build scalable, responsible AI solutions for over 15 million customers.
Optimize and deploy multi-modal AI models for on-device execution within a browser-native runtime. This includes managing the full inference stack from quantization and kernel tuning to integration with the game engine.
The role involves preparing datasets, training and optimizing ML models, and maintaining inference services to improve search and retrieval quality. You will collaborate with cross-functional teams to build AI systems for ranking and recommendations, including LLM workflows.
Lead a team in developing and deploying predictive models and optimizing search algorithms to improve user experience. Drive technical direction, mentor other engineers, and collaborate with cross-functional teams to deliver incremental business value.
Develop and deploy production-ready ML and AI solutions to improve automated outreach and agentic experiences for the Sourcing product. Collaborate with cross-functional teams to implement LLM-as-a-Judge capabilities and maintain LLMOps infrastructure.
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Lead the architecture and implementation of next-generation AI-first matching systems for search and recommendations. Collaborate with cross-functional teams and senior leadership to drive long-term technical strategy and mentor emerging engineering leaders.
Senior Machine Learning Engineer, Computer Vision
Overwatch Imaging
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Full Time
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4 Weeks Ago
Overwatch Imaging
Design and optimize end-to-end data and model pipelines for computer vision systems, focusing on detection, segmentation, and tracking. Optimize models for real-time deployment on embedded GPU platforms like Nvidia Jetson.
Design, build, and operate scalable machine learning and AI systems to power business-critical decision making and clinical operations. Own the end-to-end ML lifecycle from data engineering and model training to deployment and production monitoring.
![Oracle is hiring for remote [Remote] Machine Learning Engineer](/assets/2bad4d16-915e-4e7d-9619-9b19dfa88485.jpg){kind=small}
Build scalable, reliable, and production-ready ML systems focusing on Generative AI and Conversational AI solutions. Collaborate with cross-functional teams to translate business requirements into technical engineering innovations.
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