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Build and optimize distributed inference support in the AWS Neuron SDK for custom ML accelerators (Inferentia/Trainium), working across the full stack from PyTorch/JAX frameworks down to hardware-specific kernels and system-level optimizations.
Lead ML strategy, model development, and a team for AquaEye's AI-powered handheld sonar devices used in water rescue, working with Python, C, PyTorch, Scikit-learn, and embedded ML on IoT hardware.
Design and build scalable AI/ML systems at Nike, leveraging prediction models and generative AI to drive data-driven business decisions and optimize corporate functions.
Lead AI/ML Engineer at Nike owning end-to-end ML and generative AI solutions for corporate functions, from design through production, using Python, AWS (SageMaker, Lambda), and MLOps practices.
Lead an AI/ML team building and deploying machine learning models for search at a specialty insurance distributor, managing the full ML lifecycle from data collection through deployment and monitoring.
The Machine Learning Scientist will build causal and machine learning models to evaluate and improve localization algorithms for Netflix's global content. The role involves partnering with cross-functional teams to define strategy and measure the impact of localization on member experience.
Architect, build, and scale backend services for an agentic AI platform at Adobe, designing APIs, data pipelines, and agent orchestration infrastructure using Python, LLMs, vector databases, and cloud platforms.
The Senior Machine Learning Scientist will develop generative and representation learning models for protein and antibody drug discovery. The role involves collaborating with cross-functional teams to apply advanced ML techniques to large biological datasets.
This role involves training, testing, and deploying machine learning models to support intelligence community space projects. The engineer will collaborate with cross-functional teams to develop agentic AI solutions using cloud infrastructure and MLOps practices.
The Senior Machine Learning Scientist will develop generative and representation learning models for protein and antibody discovery within Roche's AI for Drug Discovery group. The role involves collaborating with cross-disciplinary teams to apply advanced ML techniques to large-scale biological datasets.
The Senior Machine Learning Engineer will manage the end-to-end lifecycle of ML and LLM-based solutions, focusing on model optimization, deployment, and MLOps infrastructure. The role involves developing agent systems and collaborating with cross-functional teams to integrate scalable machine learning models into production.
The Staff Robotics Test Engineer will lead the development of high-fidelity simulations and real-world validation workflows for robotic systems. The role involves designing custom sensor models, generating synthetic datasets for AI training, and applying FEA tools to ensure simulation accuracy.
The Lead Software Engineer will design and deliver scalable software and ML systems using Java, Spring Boot, and AWS. The role involves driving the adoption of AI-assisted engineering practices and leading technical teams to build secure, high-quality financial technology products.
Lead the design and deployment of production AI/ML systems for legal content products, including LLM/RAG pipelines, agentic workflows, and MLOps on AWS.
Lead a team to design, build, and deploy ML models for search, collaborating with stakeholders to drive AI feature development and improve business outcomes.
Leads a team developing and deploying AI/ML solutions for aerospace, defense, and government clients, bridging innovation and production execution while managing technical projects, budgets, and team performance.
Senior ML Engineer builds MLOps pipelines and interpretability tooling for Transformer-based credit risk models, ensuring scalable deployment and regulatory-compliant transparency in a fintech setting.
Build and deploy ML systems for healthcare analytics, automating model lifecycle management, CI/CD, and cloud infrastructure to improve patient care and operational efficiency.
Leads user understanding for Netflix’s ad-supported tier by building ML systems that analyze multimodal signals (content, viewing behavior) to improve ad targeting, ranking, and bidding. Shapes data strategy and partners across Ads ML teams.
RESPONSIBILITIES & TASKS: AI Solution Development Design, develop, test, and deploy AI/ML models supporting business and operational outcomes. Build and maintain AI services, APIs, and microservices for enterprise…
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