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Minimum of 3+ years of experience in data science with a focus on machine learning, deep learning, computer vision, NLP, and Spark. Utilize machine learning, deep learning, and other data science techniques to design, develop and optimize algorithms that drive data insights and product performance.
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5+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow, PyTorch and LangChain with GPU and CUDA experience being extremely advantageous.
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Strong understanding in the machine learning and data science technical ecosystems (e.g., Tensorflow, Pytorch, MLflow, Ray, LangChain, Data lake house (Databricks), Snowflake, SageMaker, Scikit-learn, etc.
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Experience with other deep learning frameworks (e.g., TensorFlow, Keras). Strong understanding of machine learning algorithms, deep learning architectures, and optimization techniques.
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Proficiency with deep learning frameworks like TensorFlow, PyTorch, and JAX. Established expertise and genuine passion for natural language processing (NLP), machine learning, deep learning, and large language models.
$180,000 - $306,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You have experience with deep learning library like TensorFlow and/or PyTorch as well as experience with Spark and/or Hadoop. Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with deep learning frameworks such as Tensorflow, PyTorch, and Keras. Experience in deep learning frameworks such as pytorch and tensorRT. We are seeking a seasoned Senior Data Scientist specializing in cloud compute computer vision to lead our computer vision based analysis efforts, The ideal candidate will spearhead the development and implementation of advanced computer vision algorithms and machine learning models.
$144,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are seeking a machine learning engineer to work closely with our product and research teams to develop SOTA deep learning software. Solid knowledge of machine learning and deep learning fundamentals with experience in one or more of computer vision, NLP, speech, reinforcement learning, generative models, etc.
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Preference is for candidates with experience with common open source scientific computing/machine learning libraries including: scipy, pandas, statsmodel, OpenCV, XGBoost, PyTorch / TensorFlow.
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Expert knowledge of deep learning applied to a relevant domain like NLP or representation learning, e.g. RNNs, LSTMs, Transformers and associated libraries - tensorflow, keras, or pytorch.
$138,700 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Good foundation in Machine Learning (ML), Deep Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Experience with scientific libraries in Python (numba, pandas) and machine learning tools and frameworks (scikit-learn, tensorflow, torch, 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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Experience with deep learning frameworks such as Keras, Tensorflow, Pytorch, etc. Applying deep learning frameworks to challenges in social and behavioral science domains.
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Experience in developing or using deep learning frameworks (e.g. Tensorflow, Keras, Caffe, PyTorch, ONNX, etc.) , XLA, TVM, MLIR, LLVM, OpenAI Triton, deep learning models and algorithms, and LLM designs Strong communication and interpersonal skills along with the ability to work in a dynamic and high distributed team Comfortable working across highly matrixed organizations and navigating cross functional relationships and conflicting priority and challenges.
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Extensive experience with scientific libraries in Python (numba, pandas) and machine learning tools and frameworks (scikit-learn, tensorflow, torch, etc. Qualifications: Strong foundation in Machine Learning (ML), Deep Learning, LLMs and NLP.
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