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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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As a Machine Learning Engineer at Nelnet, you'll be at the intersection of data science and software engineering. Feature Engineering: Collaborate with Data Scientists to engineer features for machine learning models.
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Our Machine Learning Engineer role is at the core of this transformation, creating intelligent systems that automate processes, derive insights, and enable us to make better decisions.
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Bachelor's or Master's in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Minimum of 3 years of experience in machine learning engineering or.
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Scalability: Design and implement scalable machine learning pipelines using cloud-based solutions on platforms like AWS, leveraging tools such as Terraform for infrastructure management.
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Masters' or PhD's degree in Robotics, Computer Vision, Machine Learning, Artificial Intelligence, Computer Science, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering.
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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA or St. Louis, MO.
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Machine Learning | AI | TensorFlow | Deep Learning | AWS | PyTorch | Django | MLOps | Computer Vision | Imaging | Python | GIS | Location Data | Aerial Data | As an AI/Machine Learning Engineer, you can expect to earn up to $150,000 (depending on experience) and highly competitive benefits.
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As a Machine Learning Engineer you will help ensure today is safe and tomorrow is smarter. · Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
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Founded in 2010, BrainTrust is an ever-growing and evolving company, with focus areas of Software Engineering (Machine Learning, Cloud Computing, HPC, Data Mining, HLT), Mission Operations (System Integration, Sensors, Deployment, Training, Support), and System Engineering (System Design, Requirements, Process Engineering, Resource Allocation.
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The Physics-based Simulation and Machine Learning Engineer will work both individually and in concert with other engineers, subject-matter experts, and program management to develop suitable modeling strategies that can be used for advanced process control and decision making.
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The Machine Learning Engineer should have a combination of generalist machine learning skills, engineering analysis skills, and the ability to quickly develop specialist capabilities where needed.
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We are currently searching for a CAE Engineer specializing in Finite Element Analysis (FEA) and other Computer Assisted Engineering (CAE) disciplines to join our team, to help us grow and scale and continue our tradition of success.
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In your cover letter, pleasedescribe your previous experience with materials microscopy simulation/analysis;describe your experience with machine learning/computer vision;describe your software development experience; andindicate your expected start date and US work eligibility status (if known.
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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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machine learning software engineer computer engineering jobs Title: algorithm engineer
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