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In addition, the candidate should have a strong understanding and experience with the integrated machine learning environments provided in Azure, AWS and GCP, along with emerging experience with Generative AI ML technical architectures that include pre-trained LLM and diffusion models such as LLaMA, ChatGPT, Gemini, Stability AI and Claude as well as Vector Databases and orchestration tools such as LangChain.
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Understanding of cryptocurrency ecosystem, blockchain/DLT engineering and smart contracts. Perform malware, threat, and attack vector analysis. This role requires a certain range of experience and an in-depth understanding of security engineering facets.
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Master's Degree in Computational Science, Engineering, Hard Sciences, Computational Linguistics, Applied Mathematics, Physics, Behavioral Sciences, PhD would be a plus, JD (Juris Doctor) with STEM background.
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Experience with modern data engineering tools such as Talend, DBT, Databricks, Snowflake and data visualization tools such as PowerBI, Tableau, ThoughtSpot. Background working in data streaming and data capture technologies such as FiveTran, ADF, and Kafka and various relational, columnar, graph and vector databases.
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Our team comes from high-performing engineering cultures, including Twitter, Uber, Meta, Affirm, and leading AI research labs, including Princeton, Caltech, Vector, and MILA. We are working on novel models and pushing cutting-edge research to production, including AI detection, AI hallucination detection, retrieval augmented generation, and writing stylometry to over 3 million active users, and enterprise clients including Fortune 1000 and Unicorn AI companies.
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Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologiesExperience working fluently with standard orchestration & deployment technologies like Kubernetes, Temporal, Terraform, Docker, etc in multiple cloudsNice to haves:Strong knowledge of software engineering best practices.
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Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting, advanced RAG and fine-tuning. Design and build RAG service platform orchestrations including prompt engineering, guardrails, vector databases, API Grounding.
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Experience taking measurements on RF and mixed signal devices with standard test equipment: signal generators, spectrum analyzers, Vector Network Analyzers (VNA’s), power sensors, RF switches, attenuators, filters, and oscilloscopes.
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We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases.
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Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Bachelor's degree in Computer Science, Computer Engineering or a technical field. Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques.
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San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer.
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This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer.
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Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC.
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vector engineering jobs in New York, NY
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