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Knowledge of data science, machine learning, and artificial intelligence is required. Knowledge of data science, artificial intelligence, and/or machine learning is required.
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At least one of the following: GCP Professional Machine Learning Engineer, AWS Certified Machine Learning Engineer. The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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8 years' experience in application development including machine learning engineer, data scientist, data analyst or analytics engineer. Softrams is seeking a Machine Learning Engineer for a position supporting federal clients in the Baltimore-Washington metro area.
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We are seeking a self-driven and highly motivated Machine Learning Engineer to join our growing machine learning teams. Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As a Lead Machine Learning Engineer, you will collaborate closely with engineers, project managers, and product managers to find the best solution for our viewers. 7+ years of related experience crafting and operating Machine learning services.
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Adobe Firefly Applied Science & Machine Learning (ASML) group is looking for a Firefly model architect interested in working on generative AI models for image, video and multimodal to help us build the next generation of foundation models that power Adobe creative tools.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Clients in this practice group represent a diverse range of industries, including artificial intelligence and machine learning, autonomous vehicles, aviation, big data, cleantech and climate solutions, data storage, digital health and wellness, digital media and entertainment, electronic gaming, fintech, life sciences, robotics, semiconductors, software, and SaaS, and web3, among other emerging and disruptive technologies.
$450,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Typical role includes working on a wide range of activities such as working with complex structured and unstructured datasets, developing/recommending novel machine learning tools, data visualizations, automation of analytics workflows, disease progression models, mechanistic and empirical PK/PD models, clinical trial simulations, literature meta-analysis using quantitative approaches and statistical modeling of historical and preclinical data.
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Parafin currently powers the capital programs for platforms and payment processors ranging from Series B to post-IPO companies such as DoorDash, Amazon, Worldpay, Mindbody, Fullsteam, Guesty, Xplor, and Quilt.
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Apply mathematical (geometry, linear algebra, numerical methods, error analysis) and machine learning methods to prototype and develop algorithms for converting raw depth sensor data into point clouds, 2D and 3D tracking like SLAM, 3D point cloud reconstruction, registration, and classification as well as texture projection and completion.
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Preferred Qualifications Familiarity with biological data formats, concepts, and computational models is a plus The salary range for Redwood City, CA: Staff Machine Learning Engineer: $232,900 - $315,100 The salary range for San Diego, CA: Staff Machine Learning Engineer: $221,000 - $299,000 Exact compensation may vary based on skills, experience, and location.
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Knowledge of DevOps best practices and technologies like Docker, Kubernetes Demonstrated ability to mentor and coach team members, fostering a culture of learning and growth. As a Software Engineer (Frontend) at SigFig, you will be instrumental in designing and developing intuitive, user-friendly interfaces that enhance the user experience of our financial technology solutions.
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Our ideal candidate will be a self-starter with a strong academic foundation, 5+ years of experience in deep learning and NLP, and recent industry experience with LLM's (prompt engineering, fine tuning, etc.
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Element Science, Inc. is a medical device and digital health company focused on developing solutions at the intersection of clinical-grade wearables, machine learning algorithms, and lifesaving therapies in order to address leading causes of death and hospitalization in patients with heart disease, primarily as they transition from the hospital-to-home.
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companies hiring machine learning engineer jobs in San Francisco, Bentonville, Kansas
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