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Leverage Machine Learning/ NLP techniques to build Large Language Models. Fine-tune Large Language models and optimise them through applied Machine Learning. A great opportunity for an NLP Engineer/ LLMs Engineer with solid experience in fine-tuning Large Language Models to join a strong FinTech scale-up with a high-calibre team in place.
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As a SDE, you will be responsible for designing, developing, testing, and deploying distributed machine learning systems and large-scale solutions for our world-wide customer base.
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At least one year of experience in machine translation and natural language processing with hands-on deep learning experience. We are looking for passionate research interns to work on cutting edge research in various machine translation areas, including large-scale multilingual models, customization, analysis, adaptation, robustness and efficient training and runtime.
$6,290 - $12,170 a monthInternExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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You will be responsible for facilitating external partnerships as well as working cross functionally with internal teams spanning business, engineering, design, category management, machine learning, customer service, legal, and operations functions to effectively implement your solutions.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
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Create an effective feedback loop between the customer team and internal product, machine learning, engineering, and go-to-market teams. Work with leading machine learning, product, engineering, and business teams at world class companies across industries to help them build and improve GenAI applications that drive business value.
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Work closely with subject matter experts and colleagues to build and scale out machine learning and AI solutions that will detect, predict, and recommend solutions to correct issues before system impact and enhance the efficiency, reliability, and performance of CVS Health’s IT operations.
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As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. We are looking for a motivated and self organized Machine Learning Engineer who can build and deliver state of the art batch, streaming and real time ML and AI solutions to join the Marketing program to drive powerful experiences for our users.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Samson Rose has been retained by an extremely exciting Humanoid robotics startup, to find them a Machine Learning Architect who will build the brain of their new robot, and be at the forefront of technological innovation.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C.
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We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
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Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc.
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At least 4 years of experience programming with Python, Go, Scala, or Java At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications: Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users.
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