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Bachelorand/Masterand (m/w/d) im Bereich Innovations - KI & Machine Learning auf Embedded Systems Was dich erwartet KI & Machine Learning auf Embedded Systems - Produktverbesserung durch Edge AI Recherche und Auswahl…
A working student role at Marquardt applying AI/ML to embedded systems: researching ML frameworks (TensorFlow Lite, Edge Impulse, CMSIS-NN), preparing sensor data, and training, quantizing, and validating ML models on microcontrollers (STM32, NXP) to improve products.
A senior data/ML engineer builds and owns production-ready ML pipelines, scalable APIs, and robust data platforms on Microsoft Azure, setting engineering standards and resilient architectures. They collaborate with global teams, communicate technical results to clients, and mentor junior engineers in a hybrid Cape Town role.
An internship in Marquardt's innovation team developing edge AI: the intern selects ML frameworks (TensorFlow Lite, Edge Impulse, CMSIS-NN), prepares sensor data, trains and quantizes ML models for microcontrollers (e.g. STM32, NXP), and evaluates latency, resource use, and accuracy for series development.
Builds and benchmarks machine-learning models that predict and design antibody developability at Ginkgo Bioworks' Datapoints (Bio × AI) platform, working with biophysical assay data and public antibody datasets. Core stack: Python, PyTorch/TensorFlow, PLM embeddings (ESM, AbLang), and protein structure tools like AlphaFold.
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling…
Engineer on Apple's On-Device ML team building the MLIR-based compiler stack that compiles and optimizes ML models to run efficiently on Apple silicon across the Neural Engine, GPU, and CPU. Day to day involves working with model authoring, runtime, and performance teams on model compilation, execution, debugging, and profiling infrastructure.
*Position is contingent upon contract award* SOSi is seeking an Artificial Intelligence/Machine Learning (Al/ML) Engineer. The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles…
A forward-deployed applied ML engineer based in London who embeds with a few EMEA customer accounts and owns their path to production on Fireworks: fine-tuning and post-training LLMs (SFT, LoRA, RLHF), GPU serving and inference optimization, and hands-on integration in customer environments.
Senior SoC modeling engineer at AWS's Annapurna Labs building C++ and SystemC functional models of custom machine-learning accelerator chips. Day to day: own model architecture, integration, testing, and debugging, build customer tooling, and collaborate with architecture, RTL, verification, and software teams. Based in Cupertino, CA or Austin, TX.
Gatik is hiring a Senior Systems & Safety Engineer for AI/ML to bridge deep learning (perception, prediction, planning) and safety engineering for its Level 4 autonomous trucks. Day to day they define SOTIF/UL 4600 strategies for learned components, set OOD detection criteria, build runtime AI safety monitors, and author safety cases (GSN) — onsite 5 days/week in Santa Clara, CA.
Job Number 7664 Standard Job Description Join the Lockheed Martin Artificial Intelligence Center (LAIC) Mission Operations Center team and be part of a dynamic group thats pushing the boundaries of innovation in radar…
Build and deploy deep learning models to detect fraudulent IDs and synthetic media, using PyTorch/TensorFlow and AWS SageMaker to protect Jumio’s identity-verification platform.
A hands-on senior ML engineer in Muscat, Oman who leads and mentors junior engineers while designing, deploying, and operating production AI systems spanning LLMs, OCR, and voice. Core work covers GPU infrastructure and inference optimization, MLOps pipelines, evaluation and observability, and stakeholder communication.
Type: Full-time Entry Level Role Start date: ASAP Location: SF, USA, remote — On-site/hybrid possible The successful candidate must be eligible to work in the US or the UK. We are not able to sponsor visas at this…
A senior engineer/researcher in the company's Algorithms group designs, develops, and deploys advanced deep learning algorithms — including CNN architectures, computer vision, and physics-based approaches — for real-world scenarios. Core stack is Python and PyTorch.
As an Applied AI/ML Scientist tech lead at Faire, you'll own strategy and execution for a two-sided marketplace, developing personalized recommendation, LTV prediction, and causal inference models using machine learning, deep learning, and LLMs, while mentoring scientists and solving marketplace growth/quality challenges.
Design and deploy ML systems, including GenAI solutions, for global clients in a remote-first consultancy. Lead projects, mentor juniors, and optimize models using Python, PyTorch, and AWS.
Design and deploy ML systems (classical, deep learning, and GenAI) for clients in climate, healthcare, and education, using Python, PyTorch, and AWS.
ML/NLP software developer at a German defense manufacturer (tanks, artillery, military vehicles) in Munich. Day to day: building and optimizing data-ingestion workflows and LLM-powered applications using RAG, knowledge graphs, and agentic AI, while tracking developments in NLP, transformers, and data science.
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