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The Staff Machine Learning Engineer is a versatile role in Behaviors that drives a wide spectrum of applied ML research and development to overcome challenges on urban roads. This Includes Working On a Variety Of Really Exciting Problems Such As The Behaviors Teams at Cruise are responsible for developing machine learning models to enable our AV to drive smoothly and safely around an urban environment.
$183,600 - $270,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The Machine Learning Engineer sits on the Commercial Data Science (CDS)Team within our Strategic Analytics & Intelligence Organization (SAI) and exists to help the CMG (Commercial, Medical and Government) organization achieve its vision by unlocking value from data quicker and more effectively.
$165,200 - $306,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Principal AI Scientist, you are expected to: Lead advanced machine learning and analytical method application to extract disease biology insights and support innovative clinical development programs and publications on multimodal translational data sets that include single cell and spatial ‘omics, RNAseq, ctDNA, digital pathology, and clinical data.
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Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance. Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review.
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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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Hands-on experience with wafer fabrication tools (etch, deposition, patterning) and metrology tools (AFM, SEM, thin film measurement, etc.) Hands-on wafer processing (deposition, etch, lithography, metrology.
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Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performanceUse Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job doneQualificationsYou Have: 5+ years of Machine Learning modeling experience.
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The Role: We are seeking a self-motivated, experienced Machine Learning Engineer. At BigHat Biosciences our machine learning stack is tightly integrated with a high-throughput wetlab to rapidly design, validate, and iteratively refine the first generation of ML-engineered antibody therapeutics.
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Our next-generation platform, which combines threat intelligence with machine learning, enables financial institutions and governments to detect cryptocurrency fraud and financial crime at an unprecedented scale.
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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.
$350,000Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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The adjacent areas of major focus are Machine Learning Infrastructure and workflow, Experimentation Platform, Knowledge Graphs and various Data Science and Analytics related tooling. We began using Covey Scout for Inbound on June 20, 2024.
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Responsibilities:Design and implement visual mapping and localization algorithmsCharacterize and quantify the performance of the vision systemResearch and experiment with new approaches to robust SLAMQualifications:- Hands on experience with visual odometry, mapping, and slam- Proficiency with probabilistic inference and 3d geometry- High proficiency in C.
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At Williams-Sonoma, Inc., we are harnessing the power of data science, machine learning and predictive analytics to better understand the dynamic trends, patterns and anomalies of our business and customer behavior and leverage them to solve complex problems across the enterprise in the areas of product finding, assortment intelligence, supply chain network optimization, relevant and personalized customer experiences and more for all of our brands.
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3+ years of experience in software development and demonstrated technical initiative and leadership on previous machine learning projects. Specifically this role focuses on using machine learning to develop risk-based experiences that increases access for good customers, ensuring that customers are using the type of account that helps them grow their network, grow their personal network/finances or grow their business, while providing guardrails against risky customers.
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Technical Proficiency: Familiarity with data science methodologies (machine learning, statistical modeling, etc.) Experience: Minimum of 10 years of experience 10+ years professional work experience as a data scientist or on advanced analytics / statistics projects with 5+ years’ experience in one of the Telecom sector.
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machine learning mathematics hands on jobs Company: Birlasoft in South San Francisco, CA
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