Lead the design, deployment, and optimization of scalable ML infrastructure and pipelines to operationalize AI models. Ensure model reliability through continuous monitoring, drift detection, and the implementation of MLOps best practices.
Remote Machine Learning Jobs (655)
Search = machine learning
Job category = Software Development
Develop and scale machine learning systems and platforms to enhance customer experience and automate business processes. Partner with data scientists and software developers to deploy predictive models into production using robust software engineering practices.
Senior Consultant – Computational Aerothermodynamics & Machine Learning
Analytical Mechanics Associates
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Full Time
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Yesterday
Analytical Mechanics Associates
Provide strategic technical guidance and expert review on computational aerothermodynamics and the integration of machine learning into CFD workflows. Assist engineering teams with design architecture reviews, strategic roadmapping, and mentorship for complex algorithmic challenges.
Lead the development of machine learning programs to automate decision-making and identify patterns. This includes designing prototypes, conducting research, and mentoring junior engineers to implement end-to-end ML solutions.
Develop document-processing pipelines and autonomous AI agents using LLMs and agentic workflows. Build and optimize Python microservices for document ingestion, classification, and extraction while ensuring system reliability and cost-efficiency.
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Lead the development and optimization of LLMs and Mixture of Experts models to improve performance and efficiency. Collaborate cross-functionally to integrate these models into the platform and mentor junior engineers.
Senior Machine Learning Engineer - United States - Remote
AHU Technologies Inc
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Full Time
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Yesterday
AHU Technologies Inc
Own the development of recommendation, search, ranking, and retrieval systems for a consumer content ecosystem. Design and analyze experiments to improve discovery and content continuation across the platform.
Design, develop, and deploy machine learning and generative AI models to solve complex business challenges. Collaborate with MLOps and cross-functional teams to optimize and maintain scalable AI solutions in production.
Design and develop ML models for search relevance, query understanding, and ranking across global markets. Collaborate with cross-functional teams to translate research insights into production-ready features that improve customer discovery.
The primary responsibilities include designing, training, and evaluating deep learning models on diverse omic datasets and developing genomic language models to predict variant effects and gene functions. The role also involves collaborating with interdisciplinary teams to validate predictions and operationalize models within genomic selection pipelines.
Develop and deploy end-to-end agentic, full-stack AI systems for defense and intelligence customers. Build ML services using LLMs, embeddings, and RAG within production and air-gapped environments.
Lead the design, deployment, and operation of production machine learning systems for batch and online use cases. Build and optimize ML infrastructure, including training pipelines, inference workflows, and observability tools to improve healthcare outcomes.
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.
Machine Learning Research Engineer
Bright Vision Technologies
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Full Time
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2 Days Ago
Bright Vision Technologies
Design and deploy advanced machine learning systems that bridge the gap between applied research and production engineering. Responsibilities include prototyping AI solutions, optimizing models for production, and implementing rigorous experimentation workflows.
Manager, Predictive Modeling and Machine Learning
Credit Acceptance
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Full Time
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2 Days 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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2 Days 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.
Detection Engineer - Machine Learning (Remote, East/Central)
CrowdStrike
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Full Time
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2 Days Ago
CrowdStrike
Analyze malware and detection data to improve machine learning models and manage false positive detections. Collaborate with internal teams to resolve customer inquiries regarding threat detections and provide efficacy feedback to the Data Science organization.
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The professional will participate in the construction of a foundational AI platform based on agents in partnership with Google. Responsibilities include defining AI architectures, designing solutions, and collaborating with Google specialists.
Senior Machine Learning Engineer (Infra), Driver Understanding and Evaluation
Waymo
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Full Time
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2 Days 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.
Develop and deploy production-ready ML and AI solutions to enhance employer-facing agentic experiences. Focus on improving LLMOps reliability, infrastructure, and implementing robust evaluation and monitoring systems.
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.
Lead Director - Artificial Intelligence, Machine Learning and Data Engineering
CVS Health
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Full Time
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2 Days 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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2 Days 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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2 Days 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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2 Days 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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2 Days 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.
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Senior Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home
Ginas Tech Jobs
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Full Time
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2 Days 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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2 Days 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.
Design and implement end-to-end document intelligence pipelines on AWS for classification and field extraction. Build scalable systems to process multi-document PDFs and establish quality metrics for extraction accuracy.
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