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Senior ML engineer optimizes PyTorch models for real-time, on-vehicle deployment, using quantization and distillation to meet tight latency and memory constraints.
Uses thermodynamics and AI/ML to build predictive models that guide drug formulation and process development, translating physicochemical data into actionable insights for stability and performance.
Builds and deploys ML models to price, trade, and manage risk across global markets using equities, futures, options, and FX.
Design and build enterprise-scale Generative AI solutions on Microsoft Azure using LLMs, RAG, vector embeddings, and cloud-native architectures.
Builds scalable, real-time AI and distributed systems for intelligent networking, processing network data to power generative AI and agentic automation across Extreme’s cloud platforms.
Technical Program Manager bridging AI/ML research and materials science to accelerate breakthroughs in energy, clean water, and carbon capture using AI-driven discovery pipelines.
Founded in 2025, Omnisent is a Munich-based defense technology company developing fully autonomous, Counter-UAS system. We are a small, high-output team from Cambridge, Imperial College, MIT, and BCG united by a…
Build and maintain ML models for Wealth Management, generating predictive analytics and insights to support data-driven decisions and strategy for Morgan Stanley’s India team.
Build and improve AI-powered tools for analyzing large-scale data, using Python/Java/JavaScript and modern LLM workflows to solve government customer problems.
Develop ML models to identify MEMS gyroscope systems using real-world sensor data and physics-informed techniques in Python/PyTorch.
Research and develop ML models (e.g., graph neural networks, diffusion models) to optimize semiconductor chip design and performance.
Lead a team building ML systems to automate fraud detection, KYC checks, and customer support at a global fintech company.
Build and scale multi-cluster GPU infrastructure for training tabular foundation models, optimizing cost and throughput while owning Slurm clusters, scheduling, and distributed training performance.
Builds ML models to improve Spotify’s content discovery and personalization across apps and devices.
Deploy and optimize large language models (LLMs) in production, quantize models, fine-tune with SFT/LoRA/RLHF, and build RAG/agentic pipelines for high-load systems.
Build and improve ML models for video recommendations, ranking, and personalization in VK Video using Python and Java backend services.
Build and deploy core ML components for an AI-native assistant that automates daily tasks with high reliability and low latency using Python, PyTorch/JAX, and GPU-based production systems.
Design AI/ML accelerator ASICs and storage solutions, defining I/O subsystems (PCIe/UCIe/CXL) and memory hierarchies for high-performance AI workloads.
Build sovereign-grade AI agents and evaluation frameworks for government use cases, turning research into production systems that meet strict safety and reliability standards.
Builds and owns end-to-end ML systems for a proactive AI assistant, focusing on long-running workflows, reliability, and real-world task completion using PyTorch/JAX and GPU infrastructure.
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