Develop and innovate machine learning algorithms to optimize advertising performance and ROI. Collaborate with data engineers to implement novel algorithms into production code and iterate based on data insights.
Remote Machine Learning Jobs (671)
Search = machine learning
Job category = Software Development
The Applied Machine Learning Scientist will innovate and develop ML algorithms to maximize advertising performance and ROI. They will also write production-ready code and collaborate with Data Engineers to implement and test novel algorithms.
Senior Machine Learning Engineer, Customer Support Engineering
Airbnb
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Full Time
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6 Days Ago
Airbnb
You will develop and optimize novel ML systems and Agentic AI technologies to transform Airbnb's customer service experience. This involves collaborating cross-functionally to build scalable AI solutions from conceptual stages through to production.
Sr. Machine Learning Engineer
Digital Diagnostics Inc.
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Full Time
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6 Days Ago
Digital Diagnostics Inc.
The Senior Machine Learning Engineer will develop novel machine learning and computer vision algorithms for medical device products. They will also design experiments to analyze algorithm performance and contribute to R&D infrastructure.
The Senior Machine Learning Solutions Architect will design and scale end-to-end machine learning solutions, including data ingestion, feature engineering, and production deployment. They will partner with data scientists and engineers to standardize architectural patterns that support real-time decisioning and advanced analytics across the enterprise.
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You will lead the development of advanced machine learning models and human-in-the-loop systems to optimize customer operations and query resolution. You will also provide technical leadership within the ML discipline, mentoring team members and steering technical strategy across product squads.
You will develop and ship features for the Junie AI coding agent across CLI and model integrations while experimenting with model setups and cost efficiency. You will also build and test autonomous agent behaviors to ensure the tool can maintain complex engineering projects over long-term horizons.
Lead Machine Learning Engineer (Robotics & Computer Vision)
Red Sky
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Full Time
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6 Days Ago
Red Sky
You will own the AI/ML core of the robotics platform, designing neural network architectures and managing the end-to-end lifecycle from data processing to edge deployment. Additionally, you will collaborate with the CTO to define the technical strategy and mentor future engineers as the team scales.
The intern will assist in the development and improvement of AI/ML solutions, including working with datasets and experimentation pipelines. They will also collaborate with the engineering team to integrate AI capabilities into products and participate in research and prototyping activities.
You will take end-to-end ownership of machine learning models, ensuring their reliable deployment and performance on physical hardware. Additionally, you will design and optimize real-time AI pipelines while collaborating with cross-functional teams and clients.
You will set the technical direction for AI initiatives within Jira Service Management, designing and optimizing multi-step LLM pipelines. Additionally, you will own the quality, reliability, and performance of AI workflows while mentoring emerging engineers and driving long-term ML strategy.
The Senior Machine Learning Engineer will own the full ML lifecycle, including data ingestion, model training, deployment, and maintenance. They will also design scalable, production-ready ML systems while ensuring strict compliance with HIPAA and enterprise security standards.
Software Engineer, Machine Learning Platform, New Grad - Quora (Remote)
Quora
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Full Time
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1 Week Ago
Quora
You will build and maintain the core infrastructure for Quora's machine learning platform, focusing on scalability, performance, and distributed systems. Additionally, you will optimize GPU model serving and improve developer velocity by creating efficient tooling for ML engineers.
You will define the multi-year technical roadmap for search infrastructure and agentic retrieval systems across Atlassian's core products. Additionally, you will lead high-impact cross-functional initiatives and set standards for production ML serving, scalability, and operational excellence.
The Senior Machine Learning Engineer will design, build, and maintain scalable machine learning models and algorithms to identify and remove child sexual abuse material online. They will collaborate with cross-functional teams and external partners to drive product requirements and ensure high-quality, automated solutions.
You will host live sessions and office hours to teach AI and machine learning concepts while providing expert feedback on student projects. Additionally, you will set technical standards and act as an escalation point for a team of supporting instructors.
Senior Director, Data Science & Machine Learning
Vibrant Emotional Health
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Full Time
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1 Week Ago
Vibrant Emotional Health
The Senior Director provides strategic and technical leadership for the organization's data science, machine learning, and AI functions. They are responsible for defining the AI roadmap, mentoring technical teams, and ensuring analytical solutions support organizational initiatives like the 988 Suicide & Crisis Lifeline.
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You will design, build, and optimize machine learning models and recommendation systems to enhance user experiences across Spotify's platforms. Additionally, you will mentor team members and drive technical strategy for personalization initiatives at a global scale.
Sr Machine Learning Engineering Manager - AI Quality and Governance
Workiva Inc.
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Full Time
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1 Week Ago
Workiva Inc.
Lead a multidisciplinary team to establish quality standards, evaluation frameworks, and governance for AI products at scale. Partner with cross-functional teams to ensure AI systems are reliable, measurable, and compliant with enterprise standards.
Machine Learning Engineer, Speech - Joint Audio-Video Modeling
Cantina
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Full Time
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1 Week Ago
Cantina
You will design and implement state-of-the-art speech and audio generation systems, focusing on joint audio-video modeling and production inference. You will also drive the end-to-end model development lifecycle, including data curation, experimental design, and performance optimization.
Lead and develop a team of machine learning, backend, and data engineers while setting technical direction for personalization features. Partner with product and data science teams to deliver scalable machine learning systems and innovative generative AI capabilities.
You will build and maintain data pipelines for machine learning models and contribute to infrastructure supporting distributed training workflows. Additionally, you will collaborate with engineers to improve the reliability, scalability, and efficiency of the offline ML platform.
Manage the end-to-end machine learning lifecycle and lead a team of engineers in developing generative AI and recommendation systems. Foster a culture of innovation while collaborating with cross-functional partners to deliver business impact.
You will design, build, and deploy intelligent machine learning systems and data pipelines into production environments. You will also collaborate with cross-functional teams to integrate AI features into scalable backend services and cloud-native architectures.
Lead a high-impact team of Machine Learning Engineers to develop and optimize recommendation systems that enhance user growth and community health. Define the technical vision and roadmap while partnering with cross-functional teams to ensure scalable and responsible AI delivery.
Lead a high-impact team of machine learning engineers to build and optimize retrieval systems for Reddit's personalized feeds. Define the technical vision, roadmap, and strategy while ensuring operational excellence and cross-functional collaboration.
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You will lead a team of engineers to develop and deploy predictive models while driving technical direction for major workstreams. Additionally, you will partner with cross-functional teams to optimize search algorithms and mentor team members to achieve product goals.
The Principal Machine Learning Engineer will build and optimize machine learning models while designing and maintaining the necessary infrastructure. They will collaborate with cross-functional teams to establish data pipelines and deliver production-grade ML services for the company platform.
The Principal Engineer will define the multi-year technical architecture for the AI Control Tower portfolio and establish an AI-forward developer experience. They will act as a technical multiplier across engineering teams to ensure AI agents are governable, secure, and observable.
The engineer will own the full AI stack, specifically expanding speech emotion recognition models into physics-based harmonic engines. They will also manage dual-instance production LLM infrastructure on GCP, including prompt engineering and quality monitoring.
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