You will build and improve core machine learning components across data, training, evaluation, and inference pipelines. The role involves debugging model performance issues and shipping iterative improvements within a production environment.
Remote Machine Learning Jobs (669)
Search = machine learning
Job category = Software Development
You will own the end-to-end execution of ML systems, including data pipelines, training workflows, and inference architecture. You will also collaborate with application engineering to integrate these models into production products while ensuring reliability and performance.
You will define the research direction for core intelligence, including context representation, memory, reasoning, and orchestration. You will also establish evaluation frameworks to measure real-world usefulness, robustness, and safety of the AI system.
Define and drive the machine learning strategy while designing and scaling production ML systems and pipelines. Lead cross-functional initiatives and mentor senior engineers to solve complex technical problems.
You will own the end-to-end machine learning lifecycle, including model development, experimentation, and production deployment to detect fraud. You will also collaborate with cross-functional teams to translate complex fraud patterns into scalable, production-grade ML solutions.
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The ML Ops Engineer will design and maintain scalable infrastructure for ML models, including automated pipelines, model serving, and monitoring. They will collaborate with data scientists to ensure models are deployable, HIPAA-compliant, and continuously improved.
Design, build, and deploy agentic solutions using large language models to detect and prevent fraud, abuse, and security threats at scale. Collaborate with cross-functional teams to integrate these AI-driven systems into production while identifying product vulnerabilities.
The Senior Principal Software Engineer will lead the technical direction of the ML Platform, overseeing architecture for feature stores, model serving, and training infrastructure. They will drive large-scale platform initiatives while mentoring engineers and partnering with cross-functional teams to deliver robust AI capabilities.
The Principal Machine Learning Engineer will spearhead innovative projects focused on developing and implementing advanced AI-driven solutions. They will also serve as a technical leader, collaborating with cross-functional teams to align AI capabilities with strategic business goals.
Lead the technical strategy and architecture for machine learning models powering Shopping Ads delivery across targeting, retrieval, and ranking. Own the end-to-end model development lifecycle, from feature engineering and offline evaluation to online experimentation and production deployment.
You will implement new machine learning model types and expand the in-database model catalog to support advanced analytical capabilities. Additionally, you will optimize performance at scale and ensure behavioral consistency across the system's native query execution engine.
The professional will participate in the construction of an agent-based foundational AI platform in partnership with Google. Responsibilities include defining AI architectures, implementing generative AI solutions, and providing technical leadership for platform development.
Lead the development and application of machine learning and LLM-powered models to drive business impact across product, marketing, and operations. Collaborate with cross-functional teams to design and deploy ranking, curation, and personalization systems.
Front-End Design Engineer, Data Science & Applied Machine Learning (DSAML)
Biogen
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Full Time
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2 Days Ago
Biogen
Design and build intuitive front-end experiences for complex data-driven internal applications. Collaborate with data scientists and engineers to integrate solutions while maintaining rigorous software engineering and documentation standards.
You will develop and optimize machine learning and deep learning models while creating modern analytics architectures for clients. You will also manage the entire development cycle, from conceptualization and data analysis to implementation and maintenance of AI solutions.
Design and implement components for the Agora decentralized training system while working with large-scale training infrastructure. You will contribute to the production codebase daily through code reviews, standups, and collaborative pairing.
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The engineer will bridge legacy insurance platforms with modern AI technologies by transforming COBOL systems into scalable AI-enabled solutions. They will also serve as a technical lead and mentor for AI strategy within the Life Underwriting department.
Develop and improve vegetation intelligence products using machine learning and geospatial tools to assess wildfire risks and infrastructure health. Lead end-to-end projects while collaborating with cross-functional teams to deliver data-driven solutions.
Senior Machine Learning Engineer Remote
AHU Technologies Inc
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Full Time
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3 Days Ago
AHU Technologies Inc
You will own the development of recommendation and search systems across feed, discovery, and content continuation platforms. This includes designing, launching, and analyzing experiments while managing retrieval, ranking, and model serving quality.
Staff Machine Learning Scientist – Personalization (Open to Remote)
Bertelsmann-Jobs
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Full Time
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3 Days Ago
Bertelsmann-Jobs
The Staff Machine Learning Scientist will lead the development and technical roadmap for personalization and recommender systems across digital touchpoints. This role involves managing end-to-end model development, mentoring team members, and collaborating with stakeholders to drive business outcomes.
You will design, train, and deploy AI agents while managing the full ML lifecycle from research to production scaling. You will also build agentic workflows in Python and implement observability metrics to ensure system reliability.
Machine Learning Engineer, Expert
Keysight Technologies, Inc.
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Full Time
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3 Days Ago
Keysight Technologies, Inc.
The role involves designing, developing, and deploying scalable machine learning models to drive business decisions across various enterprise domains. You will collaborate with cross-functional teams to build production-ready solutions while ensuring robust model governance and MLOps practices.
Staff/Senior Machine Learning Scientist - Forecasting (Open to Remote)
Apply now!
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Full Time
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3 Days Ago
Apply now!
The role involves owning end-to-end machine learning systems for forecasting, including development, deployment, and monitoring. You will also build AI-assisted development workflows and partner with cross-functional teams to translate business needs into technical roadmaps.
Machine Learning Research Engineer
Bright Vision Technologies
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Full Time
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3 Days Ago
Bright Vision Technologies
The role involves designing and shipping advanced machine learning systems by bridging applied research with production engineering. Responsibilities include translating business problems into ML formulations, building scalable pipelines, and optimizing models for performance and reliability.
You will develop and iterate on underwriting prediction models for real-time transaction decisions and scale feature pipelines. Additionally, you will collaborate with cross-functional teams to productionize models and ensure their ongoing health through monitoring and backtesting.
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You will develop and iterate on underwriting prediction models using tabular and sequential data to assess repayment risk. Additionally, you will build feature pipelines, prototype modeling ideas, and productionize models while monitoring their health and performance.
Staff/Senior Machine Learning Scientist - Forecasting (Open to Remote)
Bertelsmann-Jobs
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Full Time
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3 Days Ago
Bertelsmann-Jobs
The role involves owning end-to-end machine learning systems for forecasting, including model development, deployment, and monitoring. You will also build AI-assisted development workflows and partner with cross-functional teams to translate business needs into technical roadmaps.
Staff/Senior Machine Learning Scientist - Forecasting (Open to Remote)
Bertelsmann-Jobs
·
Full Time
·
3 Days Ago
Bertelsmann-Jobs
The role involves owning end-to-end machine learning systems for forecasting, including model development, deployment, and monitoring. You will also build AI-assisted development workflows and partner with cross-functional teams to translate business needs into technical roadmaps.
You will design, deploy, and operate production machine learning systems on AWS while managing the full lifecycle from training to monitoring. You will also collaborate with data scientists and engineers to translate business problems into reliable, cost-effective ML services.
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