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Hands-on senior/lead engineer on FIS's Frontend Platform team in Jacksonville, FL, building shared UI components, design-system frameworks, and AI coding-agent tooling that product teams across FIS build on, while mentoring engineers and driving adoption. Core stack: React, TypeScript, accessibility, multi-brand theming.
Project Manager Lead at FIS in Jacksonville, FL, directing large-scale cross-functional technology programs (including data migrations) from initiation to closeout. Day to day: integrated planning, governance, risk/dependency management, executive reporting and stakeholder alignment in a fintech environment.
Build and deploy production-grade AI systems for edge environments like offshore platforms, mines, and autonomous vehicles, optimizing models for latency, robustness, and security across disconnected settings.
Senior/Lead ML engineer (via HumanIT, a digital consultancy) for a global technology platform, hybrid with 2 days/week in the Lisbon office. Day to day: architecting and shipping production LLM systems — fine-tuning large models, building RAG/vector-search and agentic workflows, evaluation, and MLOps — primarily in Python with PyTorch.
Machine learning engineer on Waymo's Perception team, owning end-to-end driving-behavior tasks in the ML Driver: developing and fine-tuning models at scale on millions of miles of sensor data, monitoring production ML systems, and optimizing for onboard hardware. Core stack is Python/C++ with PyTorch or JAX.
ML Engineer improving how language models perform for Polish users: measuring model quality on real product tasks, building Polish-language datasets and evaluations, fine-tuning/post-training models, and setting up regression tests and monitoring. Stack centers on Python, PyTorch/JAX/TensorFlow, and LLM/NLP evaluation and adaptation.
Machine learning engineer owning the ASR improvement loop for Kiefer Tech's Sophea Meet meeting-transcription product: training/fine-tuning speech recognition models on real meeting audio, building benchmarks and error analyses, and improving production inference. Python with PyTorch/JAX/TensorFlow; English focus first, then Greek.
ML Engineer improving agent and long-context LLM capabilities behind Kiefer Tech's AI products: running post-training experiments (SFT, preference optimization, RL), designing multi-step agents, building benchmarks/verifiers and training data, and moving results to production. Stack centers on Python with PyTorch/JAX/TensorFlow.
Research engineer at Graphcore designs and implements AI/ML experiments, optimizes models for hardware efficiency, and publishes findings to advance AI compute technology.
Build and optimize framework support (Triton, PyTorch) for Graphcore's AI accelerators, working across a complex ML software stack using Python and C++.
Develop and optimize software frameworks like Triton and PyTorch to enhance Graphcore's AI hardware performance and usability for ML workloads.
Research and deploy ML models to generate trading signals and optimize portfolios, collaborating with quants and engineers using Python and PyTorch/TensorFlow.
Design and deploy AI-powered features that analyze voice and messaging data to improve customer conversations at scale using Python, ML frameworks, and cloud infrastructure.
Very senior data science leader at Reddit setting the measurement, modeling, and experimentation strategy for its consumer/user ecosystem — how users discover value, form habits, and deepen engagement across content and communities. Core work spans recommender systems, user/LTV modeling, causal inference, and ML with frameworks like PyTorch or JAX.
Machine learning engineer/researcher on Apple's foundation models team in Beijing, focused on pre-training, model architecture, and scientific scaling of LLMs plus the training infrastructure behind them, applying models to Apple products. Requires deep learning toolkit expertise (JAX/TensorFlow/PyTorch) and fluency in English and Mandarin.
Senior Machine Learning Engineer at Graphcore optimizes AI models for specialized hardware, scales them across thousands of accelerators, and collaborates with research and software teams to advance AI compute technology.
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Onsite Java developer role in Paderno Dugnano (Milan) building enterprise backend applications integrated with industrial systems and communication protocols. Requires 4+ years of Java 11+, WildFly/Java EE, SQL Server/Oracle, MQTT/OPC-UA, plus AngularJS/jQuery and Maven/Jenkins. Day-rate contract at €220–240.
Research Scientist at Google DeepMind leading high-impact AI research programs — designing experiments, publishing state-of-the-art findings, and translating foundational advances into production systems. Core stack: Python and deep learning frameworks like JAX, PyTorch, and TensorFlow, with a PhD-level research background.
Senior ML Engineer Be the ML force multiplier at a funded stealth startup solving hard on-device AI problems. ABOUT THE COMPANY A stealth startup in the identity space building privacy-preserving, on-device…
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