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Deep applied experience or academic expertise with 2+ of the following areas: ML, NLP, LLMs/RAG, deep learning, or statistical learning theory. As An ML Engineer, You’ll Work With Product And Engineering Teammates To Build Core ML Offerings From The Ground Up. Examples Of Projects Include.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are a multidisciplinary algorithmic trading team with expertise in machine learning, numerical optimization, software engineering, distributed systems, electricity markets, and trading.
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Experience with next generation sequencing, molecular biology techniques and automated liquid handlers. In this role, you will be responsible for performing high complexity laboratory testing for cancer detection via next generation sequencing and general Chemistry and Immunology testing (Generalist.
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This role is for a machine learning engineer in the Distribute Training team for AWS Neuron, responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive-scale Large Language Models (LLM) such as GPT and Llama, as well as Stable Diffusion, Vision Transformers (ViT) and many more.
$223,600 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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The Afero next-generation IoT PaaS accelerates time to market, provides hardened security from device to cloud and from factory to customers, simplifies onboarding to help maximize customer connections, and uses data ontology to streamline machine learning.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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Understanding of machine learning fundamentals and experience with popular ML frameworks such as JAX, PyTorch, or Tensorflow. Previous experience deploying and supporting machine learning models for computer vision, natural language processing, or recommendation systems.
$243,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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They will contribute to the development and deployment of DFT methodologies for next-generation products. Join an experienced team of silicon and distributed systems experts at this startup, pioneering groundbreaking solutions for next-generation computing workloads.
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As a Staff Software Engineer, you will help shape and scale the GPU accelerator control plane to support the next generation of GPU accelerators. Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.
$284,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Required Skills: Min. 10 Years of experience in IT, Data Science - AI (Artificial Intelligence) & ML (Machine Learning) modelling, DFT, QM/MM, and Cheminformatics / Chemoinformatics, RDKit, chemistry concepts (structure, reactivity, properties), Python Programming etc.
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You will work with a team of machine learning researchers to build AI software systems, learn about deep learning algorithms, and use your technical skills to advance autonomous driving.
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You are an innovative machine learning engineer with experience in training and evaluating large deep learning models. We are searching for an experienced and collaborative machine learning research engineer focused on building biological foundation models.
$234,550 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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8+ years of work experience as a machine learning engineer, data scientist, and software developer, preferably at least two years at a seed, Series A, or Series B company. Deep experience in machine learning, deep learning, neural networks, and natural language processing.
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Our AI/ML technology protects regular citizens from bad actors on the internet, using industry-leading deep learning, computer vision, natural language processing, and machine learning models for highly accurate real-time detection & automated takedown of fraudulent sites at the internet scale.
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Our safety engineering team is currently looking for a Semiconductor Safety Engineer to help develop the next generation of system on chip (SoC) products for autonomous driving. More recently, GPU deep learning ignited modern AI — the next era of computing.
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