Lead the creation and optimization of advanced machine learning algorithms to enhance advertising effectiveness and ROI. Own the end-to-end development of production-grade ML models and collaborate with Data Engineers for system integration.
Remote Machine Learning Jobs (672)
Search = machine learning
Job category = Software Development
Develop and scale high-performance ML prediction models for real-time adtech environments, owning the full pipeline from raw data to online serving. Design and refine complex bidding algorithms and conduct offline simulations and online A/B tests to optimize business metrics.
Design and implement AI and GenAI driven algorithmic components for contextual personalization and behavioral insights. Develop ML models and agentic workflows while scaling components to handle terabytes of data in production.
Design and implement AI and GenAI driven algorithmic components for contextual personalization and behavioral insights. Develop ML models and agentic workflows while scaling components to handle terabytes of data in production.
Develop and maintain AI systems to automate customer operations such as disputes, returns, and fraud handling. Build LLM-powered pipelines for evidence extraction and prototype new modeling approaches to drive production improvements.
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Develop and maintain AI systems to automate customer operations such as disputes, returns, and fraud handling. Build LLM-powered pipelines for evidence extraction and prototype new modeling approaches to drive production improvements.
Principal Machine Learning Engineer- LLM Fine-tuning and Optimization
Airbnb
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Full Time
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11 Weeks Ago
Airbnb
Responsible for fine-tuning and optimizing state-of-the-art LLMs for diverse use cases and high-performance deployment on Airbnb's ML infrastructure. You will design AI products like AI Assistants and autonomous agents while creating a multi-year technical roadmap.
Senior Machine Learning Engineer, AI Generation Engine
SandboxAQ
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Full Time
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11 Weeks Ago
SandboxAQ
Design and manage robust data pipelines and develop novel ML models for Large Quantitative Models and agentic frameworks. Collaborate with cross-functional teams to translate business objectives into actionable ML development and production roadmaps.
Lead and manage cross-functional teams of machine learning engineers and data scientists to deliver ML-driven product capabilities. Accountable for technical direction, talent growth, and strategic partnership with product managers to balance short- and long-term goals.
Design, build, and operate AI-powered features and products to create magical experiences for Calendly customers. Collaborate with cross-functional teams to implement AI solutions and manage the end-to-end lifecycle of ML services and data pipelines.
Senior Machine Learning Scientist 347 APPLICANTS
Adaptive Biotechnologies
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Full Time
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11 Weeks Ago
Adaptive Biotechnologies
Design and implement deep learning models to predict interactions between T cell receptors and peptide-MHC complexes. Collaborate with cross-functional teams to translate biological principles into modeling decisions and influence experimental data generation.
Senior Machine Learning Engineer, Vector Bidding Science
Unity Technologies
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Full Time
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11 Weeks Ago
Unity Technologies
Design and optimize core bidding algorithms and auction mechanisms to maximize advertiser returns. Architect scalable bid landscape forecasting and analyze marketplace dynamics to drive algorithmic improvements.
Technical Instructor Instructor (AWS Machine Learning)
Per Scholas
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Full Time
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11 Weeks Ago
Per Scholas
Deliver instructor-led training to prepare students for careers in AI and Machine Learning infrastructure on AWS. Responsibilities include daily instruction, student progress monitoring, and maintaining training curricula and LMS records.
Research and develop state-of-the-art voice synthesis models including TTS and voice cloning. Collaborate with cross-functional teams to integrate these models into production-ready pipelines for expressive and natural-sounding speech.
Design, develop, and deploy Machine Learning models and ML pipelines for a healthcare client. Focus on optimizing models for document classification, segmentation, and data extraction in production environments.
Serve as the technical lead for an ML team focusing on personalization, relevance, and ranking. Own the end-to-end architecture, from model training and evaluation to deployment and scaling in production.
Design and implement custom GPU/accelerator kernels to maximize performance for next-generation AI workloads. Collaborate with researchers to translate algorithmic advances into efficient, production-ready code.
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Design and implement ML-driven bidding algorithms to optimize ad performance metrics like Clicks, Conversions, and ROAS. Collaborate with product teams to align auction mechanisms and pricing with business goals and revenue objectives.
Develop pipelines for post-training tasks including fine-tuning, evaluation, and model compression. Implement scalable systems for model deployment and optimization while collaborating with researchers to validate results in production.
AI Engineer | Python | AI Agents | Chatbots | Machine Learning | Full Stack | Remote
E Edge Technology PVT. LTD.
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Full Time
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11 Weeks Ago
E Edge Technology PVT. LTD.
Develop and deploy machine learning models and build backend systems using Python. Integrate AI solutions with full-stack applications and develop REST APIs.
Design and optimize machine learning models for medical image analysis to improve prostate cancer diagnosis and treatment. Build scalable data pipelines and integrate AI models into clinical software solutions while ensuring regulatory compliance.
Design and implement complex data-centric ML solutions, including feature generation and model delivery systems. Manage the deployment, hosting, and monitoring of ML models to optimize large-scale ad tech data.
Senior Machine Learning Engineer (RecSys)
INFOMEDIJI d.o.o.
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Full Time
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11 Weeks Ago
INFOMEDIJI d.o.o.
Design and build real-time ranking and retrieval models for video recommendations, search, and infinite scroll timelines. Develop end-to-end ML pipelines and explore algorithms for short-form video generation.
Own the end-to-end ML/AI lifecycle from defining success metrics and prototyping to deploying production-ready models. Collaborate with engineering and product teams to automate complex tax and accounting workflows using LLMs and traditional ML.
Lead the Conversation Memory team as a player-coach to build foundational platform capabilities for next-generation conversational AI. Translate ambiguous business problems into a prioritized ML product roadmap while managing a high-performing team of engineers.
Staff Data Scientist, Machine Learning in Epidemiology and Patient Data Products
Valo Health
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Full Time
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12 Weeks Ago
Valo Health
Lead the development of machine learning methods and analyses of high-dimensional longitudinal patient data to generate clinical insights. Collaborate with cross-functional teams to build and operationalize ML pipelines within a computational platform for drug discovery.
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Build and operate production AI pipelines and Airflow-based orchestration for clinical workflows. Develop observability and evaluation infrastructure to ensure the quality and reliability of LLM outputs in healthcare applications.
Design, train, and evaluate autoregressive and non-autoregressive speech synthesis models. Drive research on multi-modal architectures and collaborate with linguists to optimize TTS frontend behavior.
Staff Machine Learning Engineer, Driver Understanding and Evaluation
Waymo
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Full Time
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12 Weeks Ago
Waymo
Lead the development of cutting-edge deep learning and Gen AI models to analyze autonomous vehicle behavior and automate high-volume workflows. Collaborate with cross-functional teams to define technical strategy and optimize ML models for fleet-wide evaluation.
Act as a player-coach leading a small team of ML scientists while contributing directly to code and model design. Take strategic ownership of specific product areas to translate ML predictions into business impact and lending outcomes.
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