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Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
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DoorDash Careers | Staff Engineer, Machine Learning Science - AI for Voice Ordering Search Jobs About the Team Come help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery.
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Experience with NLP, Distributed Systems, large scale computing, Big Data technologies like Hadoop and Spark are plus. Scaling up of models created by Data Scientist; Data Structure, Algorithms; Database concepts; JVM/Python; Machine learning algorithms.
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As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, 3D Perception & Mixed Reality, Cloud Robotics, Data Science, AI Platform, Time-series Analysis.
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PhD in life science-related fields (Immunology, Molecular Biology, Pharmacology, Chemistry, and Biochemistry) or Master’s with 6+ years in science-related fields. Conduct literature search to design in vitro/in vivo models and conduct thorough research to initiate pipeline development.
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Deep experience in leading data science, machine learning, search or data engineering teams that is able to separate the hype in the artificial intelligence space from the reality of delivering production ready data systems.
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As a Research Engineer or Data Scientist, you will be working on productization of cutting-edge work on NLP from our research team and play a key role in tech transfer to our subsidiaries for production deployment.
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To thrive in this role, you’ll need to be an expert in data technologies with SQL, Python and strong background in data science, generating machine learning models, and data analytics.
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Similar to ChatGPT, Perplexity is a chatbot that uses machine learning and Natural Language Processing (NLP) to respond to user questions. They are creating a powerful conversational interface that harnesses the power of large language models to deliver more accurate and intuitive search results.
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What You'll Need: Ph. D. or Master’s Degree in Biomedical NLP, Computer Science, Biomedical Informatics, Computational Linguistics, Mathematics, or other related fields. This involves working directly with our clients as well as cross-functional Biomedical Science, Engineering, and Business leaders to identify, prioritize, and develop NLP/AI and Advanced analytics products from inception to delivery.
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Proficient in Manufacturing Execution System (MES), Design of Experiments (DOE), statistical data analytics (JMP and SAS), and process control (SPC, APC) Lead the implementation of Manufacturing Execution System (MES) solutions for process control/data management and drive data automation initiatives to enhance process monitoring and control as the representative from the wafer engineering team.
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An Advanced Degree (or equivalent knowledge/training) in Bioinformatics, Computer Science, Data Science, or related field. A Bachelor’s Degree (or equivalent knowledge/training) in Bioinformatics, Computer Science, Data Science, or related field and a minimum of 8 years of demonstrated success implementing and maintaining large scale genome sequence data analysis systems with large complex technological programs or an equivalent combination of education and experience.
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B.S. degree in Materials Science/Engineering, Polymer Chemistry, Chemistry, Mechanical Engineering, Chemical Engineering, or related technical field. Open Call - Engineer, Materials Science, Polymers Processing.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Master’s Degree in Computer Science, Data Science, Engineering, Math, Science, Information Technology, Computer Applications, Management Information Systems, Computer Information Systems, Accounting, Commerce, Business Administration or related.
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