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Develops on-device ML models and control systems to optimize power/energy tradeoffs in Apple hardware, analyzing real-world device behavior and shipping solutions to manage thermal/battery dynamics across products.
Designs and deploys deep learning models for autonomous vehicles and delivery robots, using CNNs, Transformers, and MLLMs to improve navigation and safety.
Designs and deploys deep learning models for autonomous vehicle motion planning and prediction using petabytes of driving data and real-time systems.
Senior ML Engineer working hands-on to define and develop technical solutions and architecture, collaborating with cross-functional leaders. Core stack: Python, PyTorch, scikit-learn, pandas, SQL, and LlamaIndex/crewAI for agents.
About the company Are you tired of missing important moments in your weekly game because no one recorded you? Say goodbye to FOMO and hello to PUSHIT! PUSHIT allows you to easily catch up on all the highlights you did…
Senior ML Engineer designing scalable AI platforms, defining governance frameworks, and leading cross-team ML strategy to deploy safe, high-impact models at Creai, a data-driven AI startup.
NTT DATA Europe & Latam is seeking an experienced ML/AI Architect to design and deploy AI solutions on Microsoft Azure, covering data ingestion, feature engineering and model training. You will implement MLOps,…
The Staff Machine Learning Engineer will design and build production-grade agentic AI systems, focusing on multi-agent orchestration, enterprise-grounded reasoning, and safety guardrails. The role involves integrating frontier LLMs into ServiceNow's platform to automate enterprise workflows at scale.
Leads a team designing and validating high-performance DRAM/HBM memory subsystems for Google’s TPUs, bridging hardware engineering, verification, and ecosystem partnerships to optimize AI infrastructure.
Build and refine AI systems that automate complex legal workflows, from intake to resolution, using cutting-edge models and agent architectures for plaintiff law firms.
Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the…
Job Title AI/ML Development Analyst (Immediate Hire, 2026 Grads) Job Summary Commonfund is seeking a highly motivated AI/ML Development Analyst to design, develop, and deploy advanced artificial intelligence and…
Description Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for…
Causal Labs is seeking a Machine Learning Infrastructure Engineer to build and maintain the distributed training and inference backbone for a Large Physics foundation Model. The role requires deep expertise in large-scale ML infrastructure, GPU optimization, and distributed training frameworks to support the company's mission of developing general causal intelligence.
Build and scale AI-powered backend systems and data pipelines for investment workflows, integrating generative AI tools and optimizing performance for low-latency, high-throughput applications.
Builds AI agents and models for high-frequency trading, using deep learning and time-series forecasting to monitor systems and support research workflows.
Designs and leads enterprise-grade AI/ML systems, including GenAI services, while mentoring engineers and ensuring scalable, reliable, and compliant solutions for a global investment firm.
Designs and maintains high-performance infrastructure for large-scale generative AI and machine learning workloads, including distributed systems, GPU compute, and MLOps pipelines in a financial firm.
Research and develop ML models for financial markets, applying predictive modeling, NLP, and time-series analysis using Python/R/Matlab.
Builds NLP and GenAI solutions (LLMs, RAG, agents) to extract trading signals from text data for a quant fund.
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