Design, develop, and deploy machine learning models to enhance risk and fraud detection systems. Lead technical efforts in the Risk/Fraud area and partner with operations to respond to evolving events.
Remote Machine Learning Jobs (672)
Search = machine learning
Job category = Software Development
Design and build scalable ML data pipelines and translate R&D outputs into reusable libraries and products. Collaborate with customers and simulation engineers to embed AI models into practical engineering tools.
Design and engineer AI-powered features to extract meaning from voice and messaging data at scale. Implement end-to-end ML pipelines and monitor production inference services to ensure operational health.
Develop and fine-tune large language models to create intelligent, privacy-aware browser experiences in Firefox. Collaborate with cross-functional teams to prototype and deploy Generative AI features using RAG and intent modeling.
Design and engineer AI-powered features to extract meaning from voice and messaging data at scale. Implement end-to-end ML pipelines and monitor production inference services to ensure operational health.
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Build and operate a real-time inference service and model deployment infrastructure to support risk decisioning. Establish model observability, drift detection, and experimentation capabilities like champion/challenger routing.
Focus on improving e-commerce search relevance through LLM-based evaluation and real-time quality improvements. Develop automated monitoring pipelines and agentic systems to detect degradations and provide actionable product recommendations.
Lead the design, development, and deployment of scalable, production-grade machine learning architectures and platforms. Act as a technical leader defining ML strategy and mentoring engineers and data scientists across the organization.
Design and engineer AI-powered features to extract meaning from voice and messaging data at scale. Implement end-to-end ML pipelines and monitor production inference services to ensure operational health.
Design and develop AI-powered features to extract meaning from voice and messaging data at scale. Implement end-to-end ML pipelines and monitor production inference services to ensure operational health.
Design, prototype, and deploy machine learning algorithms for perception, state estimation, and behavior planning to advance off-road autonomy. Collaborate across disciplines to improve system reliability and performance while balancing short-term deliverables with long-term technical direction.
Machine Learning Engineer
Comprehensive Rehab Consultants
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Full Time
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7 Weeks Ago
Comprehensive Rehab Consultants
Design, optimize, and productionize scalable ML, NLP, and LLM systems to power clinician tools and financial analytics. Build and maintain AI-driven products including an analytics chatbot and private LLMs trained on internal healthcare documentation.
Senior Machine Learning Engineer, Personalization
DraftKings Inc.
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Full Time
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7 Weeks Ago
DraftKings Inc.
Lead the design and deployment of scalable machine learning systems to drive real-time personalization, player engagement, and retention. Collaborate with cross-functional teams to build ML pipelines and mentor other engineers on best practices.
Senior Software Engineer - Machine Learning (Marketplace Dynamics) (Remote - United Kingdom)
Yelp, Inc
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Full Time
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7 Weeks Ago
Yelp, Inc
Identify and solve challenging marketplace dynamics problems by designing predictive models and conducting causal analysis. Productionize and automate ML model pipelines within Python services to drive business impact.
Senior Software Engineer - Machine Learning (Marketplace Dynamics) (Remote - Ireland)
Yelp, Inc
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Full Time
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7 Weeks Ago
Yelp, Inc
Identify and solve challenging problems by designing experiments and developing causal or predictive models to drive business impact. Productionize and automate ML model pipelines within Python services while collaborating with product and engineering teams.
Build, validate, and improve machine learning models to help cities prioritize infrastructure investments and reduce risk. Design new model products and optimize data science workflows for integration into SaaS product systems.
Lead the strategy and architecture of large-scale recommendation systems for Reddit's notifications to improve user engagement and retention. Design and implement content discovery algorithms, integrate LLMs, and collaborate across engineering teams to deploy state-of-the-art ML models.
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Design and develop platforms and frameworks for automated data-driven decision-making and statistical modeling. Collaborate with data scientists to build simulation tools and services that host trained models for business integration.
Design, train, and productionize deep learning models for speech, audio, and computer vision domains. Own the end-to-end lifecycle from dataset curation and architecture design to deployment and performance monitoring.
Lead the architecture and validation of genomic and multimodal foundation models to accelerate patient stratification and therapeutic monitoring. Bridge the gap between AI research and clinical science to transition representation learning models into reproducible diagnostic assets.
Design and operationalize scalable machine learning pipelines for training, deployment, and lifecycle management across cloud and edge environments. Collaborate with cross-functional teams to translate mission requirements into deployable ML capabilities for autonomous systems.
Architect and scale the AI agents facing platform, evolving it from a vector search platform into an agentic retrieval layer. Ensure high-quality results, low latency, and cost efficiency for enterprise-scale AI products.
Design and implement scalable, high-performance ML ranking systems to power personalized feeds and search at Reddit scale. Collaborate with product and infrastructure teams to translate requirements into robust ML and Generative AI production systems.
Architect and deploy an orchestration layer for AI-powered conversational systems and multi-agent platforms. Lead the end-to-end execution of complex ML initiatives while mentoring engineers on architectural integrity.
Lead the technical design and launch of agent harnesses for Rovo Chat to improve quality, reliability, and latency. Collaborate with cross-functional teams to realize the transformative potential of AI across Atlassian's offerings.
Build and evolve machine learning systems for underwriting and credit decisioning for Cash App Borrow and Afterpay. Design credit decision frameworks and agentic engineering workflows to accelerate development and monitoring.
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Machine Learning Engineering Manager - Ads Engagement Modeling
Reddit
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Full Time
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8 Weeks Ago
Reddit
Define and execute the technical roadmap for engagement modeling to drive user interactions with ads and content. Lead, recruit, and mentor a high-performing team of ML engineers while collaborating with cross-functional partners.
Lead the design and deployment of evaluation approaches to assess the realism of multimodal world models and generative systems. Architect scalable machine learning pipelines and discriminator models to improve simulator realism for autonomous driving.
Senior Machine Learning Engineer
Just Eat Takeaway.com
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Full Time
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8 Weeks Ago
Just Eat Takeaway.com
Lead the strategic direction of machine learning infrastructure and architect complex ML pipelines for real-time and batch inference. Mentor mid-level engineers and collaborate with Data Science teams to optimize and deploy scalable models in production.
Own the architecture of the AI platform and lead the design of enterprise agentic systems and RAG capabilities. Drive technical direction, mentor senior engineers, and ensure AI systems meet enterprise standards for security, governance, and reliability.
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