Independently challenge and validate ML models across lending, fraud, and AML to ensure soundness and regulatory compliance. Build agentic validation tooling and establish standards for overseeing GenAI and frontier AI systems.
Remote Machine Learning Jobs (628)
Search = machine learning
Job category = Software Development
Lead the end-to-end delivery of ML initiatives to advance automated customer support through generative AI and conversational agents. Partner with cross-functional leaders to define ML roadmaps and drive R&D for next-generation chatbot architectures.
Senior Machine Learning Engineer II, Fulfillment, Matching and Positioning
Instacart
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Full Time
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2 Weeks Ago
Instacart
Design and deploy production-grade optimization and ML algorithms for order batching, shopper routing, and real-time assignment. Collaborate with cross-functional teams to improve profitability, on-time delivery, and customer satisfaction within a high-scale marketplace.
Design and build large-scale end-to-end recommendation systems to power personalized notifications across various channels. Drive the technical vision for notifications relevance while mentoring senior engineers and collaborating with cross-functional leadership.
Lead the technical vision and roadmap for ML systems focused on forecasting, supply positioning, and fleet optimization. Act as the primary technical decision-maker while mentoring engineers and partnering with product leadership to drive business outcomes.
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Senior Software Engineer - Machine Learning - Multi-Object Tracking
Latitude AI
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Full Time
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2 Weeks Ago
Latitude AI
Develop spatio-temporal machine learning models for multi-object tracking and road feature estimation. Transition these solutions from research environments to production-grade perception systems for automated driving vehicles.
Lead the design and implementation of a large language model framework to power diverse applications across the company. Responsibilities include managing the full development lifecycle, mentoring junior engineers, and ensuring systems are scalable and performant.
Develop and deliver industry-leading ML models for subrogation opportunity detection while mentoring junior engineers. Collaborate with business stakeholders and engineering teams to integrate models into production APIs and technical roadmaps.
Develop and deliver industry-leading ML models for subrogation opportunity detection while collaborating with business stakeholders. Mentor junior ML engineers and partner with data and software engineering teams to ensure seamless data flow and API integration.
Principal Machine Learning Scientist
Adaptive Biotechnologies
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Full Time
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2 Weeks Ago
Adaptive Biotechnologies
Lead the development of deep learning models for TCR-pMHC specificity prediction by integrating sequence and structural information. Collaborate with cross-functional teams to translate biological principles into modeling decisions and drive clinical and commercial applications.
Own the end-to-end lifecycle of production ML models, including training, optimization, deployment, and monitoring. Collaborate with research scientists to integrate new architectures into scalable systems serving millions of users.
Design and build the ML platform infrastructure to move data science models from notebooks to production. Establish MLOps standards, manage model serving on AWS SageMaker, and implement automated retraining and monitoring pipelines.
The role focuses on productionalizing machine learning models for rich media experiences and building scalable ML systems. Responsibilities include owning data pipelines, establishing CI/CD for model deployment, and collaborating with scientists to optimize model performance.
Senior Applied Machine Learning Engineer, Asset Intelligence
MaintainX
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Full Time
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2 Weeks Ago
MaintainX
Lead the technical direction and architecture for predictive maintenance and asset intelligence initiatives. Architect end-to-end ML systems and mentor a team of ML and data engineers to scale AI-enabled maintenance intelligence.
Senior Machine Learning Engineer, Community Support Engineering
Airbnb
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Full Time
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2 Weeks Ago
Airbnb
Develop and optimize novel ML systems and Generative AI technologies to transform Airbnb's customer service experience. Work cross-functionally to design scalable AI solutions and share latest ML technologies across global regions.
Sr. Machine Learning Engineer- Computer Vision (Liveness Detection & Spoofing)
Mitek Systems
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Full Time
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2 Weeks Ago
Mitek Systems
Lead applied ML initiatives to develop next-generation identity verification engines focusing on face liveness and anti-spoofing. Manage the full ML lifecycle from data collection and model design to production deployment and monitoring on AWS.
Lead the deployment and management of machine learning models and scalable pipelines across production systems. Collaborate with cross-functional teams to integrate ML models into applications and optimize inference for mobile and embedded devices.
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Engineering Manager, Machine Learning
DICK'S Sporting Goods
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Full Time
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2 Weeks Ago
DICK'S Sporting Goods
Lead a team of machine learning engineers to develop and deploy scalable AI solutions for merchandising and inventory optimization. Collaborate with cross-functional leaders to translate business goals into technical strategies and ensure high standards for system reliability and security.
Design and operate AWS-based infrastructure for data extraction, transformation, and loading to deliver predictive insights. Build and optimize complex data lakes and ML models to support customer data architecture and business needs.
Develop and maintain deep learning algorithms for stroke diagnosis using CT scan images. Collaborate with software engineers to deploy models on cloud infrastructure and work with clinicians to validate algorithms.
Lead the development of scalable AI/ML infrastructure for multi-billion parameter foundation models used in autonomous vehicle simulations. Collaborate with global teams to improve simulation realism and mentor junior engineers on architectural decisions.
Lead the research and development of evaluation frameworks and metrics to optimize the quality of large-scale speech datasets. Translate research insights into scalable filtering rules and tools to improve downstream ML model performance.
Develop and deploy advanced ML models for predictive analytics and optimization within digital twin environments. Build scalable feature engineering and inference pipelines to enable real-time simulation and decision-making capabilities.
Own the end-to-end ML lifecycle to build ranking, retrieval, and LLM-powered agent systems for a fitness marketplace. Partner with product and engineering teams to ship models that drive user retention, booking lift, and GMV.
![CI&T is hiring for remote [Job-29644] MASTER AI / Machine Learning Specialist ( AWS )](/assets/96be70cc-b65f-449c-9299-d619efa70efb.png){kind=small}
Design and implement a multi-agent AI architecture using AWS Bedrock to automate complex media planning workflows. Develop RAG pipelines and integrate enterprise tools while ensuring scalability, observability, and production reliability.
Lead a team in building and optimizing scalable machine learning infrastructure to power a drug discovery platform. You will collaborate cross-functionally to enable model training, deployment, and monitoring across massive datasets and supercomputing infrastructure.
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Staff Machine Learning Scientist, Financial Crime
Referrals Only
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Full Time
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3 Weeks Ago
Referrals Only
Lead the design and deployment of advanced, scalable ML-based real-time detection systems to prevent financial crime and fraud. Provide technical leadership across the FinCrime collective, mentoring other practitioners and advising senior stakeholders on strategic direction.
Develop and optimize machine learning models for 3D spatial reasoning, sensor fusion, and perception tasks to support autonomous driving. Create scalable training recipes and evaluation metrics using Alphabet's compute infrastructure to improve model performance and stability.
Develop and implement machine learning and protein science solutions to advance computational protein design for biologic therapeutics. Collaborate with cross-functional teams to build foundational models and establish tools within the discovery pipeline.
Lead the end-to-end architecture and implementation of production-grade machine learning and data solutions for enterprise clients. Collaborate with cross-functional teams to translate business requirements into scalable MLOps environments and actionable insights.
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