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Our Senior Machine Learning Engineer is a mid-level member of the Voice engineering staff ensuring we provide innovative experiences and operational excellence to our contact center agents, supervisors and customers.
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At Tecton, we solve the complex data problems in production machine learning. We have a fast-growing team that's distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
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Central to Data Production is the HIPE application ( Human-in-the-Loop Processing Engine ), which uses sophisticated machine learning and carefully-designed UI/UX to help experts quickly and accurately extract data from medical records as we receive them.
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We are looking for strong research engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling.
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The FSR will provide direct support to a Northrop Grumman Marine Targeting Cell (MTC) prototype system being built for the U.S. Navy. The prototype system will replace functions from existing programs to bring Intelligence data to tactical units and employ cutting-edge Artificial Intelligence and Machine Learning to partially automate the development of targeting solutions.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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I Expertise: Proven experience in developing and deploying AI models,including familiarity with machine learning algorithms, natural languageprocessing, and data analysis techniques. Experience with integrating platforms like Databricks, Service Now, Workday, and other SaaS applications, ensuring seamless data exchange and process automation.
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Electronic, information technology, machine learning, malware, photonics, processor, programming, software. Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge and high-fidelity data-driven multi-sensor simulation stack leveraging graphics, computer vision, and ML. - Work to scale Waabi World sensor simulation for high throughput dataset generation and interactive closed-loop scenarios with the Waabi Driver.
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5+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI). More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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Architect and optimize our existing data infrastructure to support cutting-edge machine learning and deep learning models. Hands-on experience with leading deep learning frameworks such as TensorFlow, Keras, or Spark MLlib.
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Experience designing and developing automated dashboards using data visualization tools such as Grafana or Looker to monitor operational metrics. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments.
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NVIDIA NeMo is an open-source, scalable and cloud-native framework built for researchers and developers working on Large Language Models (LLM), Multimodal (MM), and Speech AI. NeMo provides end-to-end model training, including data curation, alignment, customization, evaluation, deployment and tooling to optimize performance and user experience.
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C#, computer science, javascript, machine learning, photonics, python, software. In-depth knowledge and proven track record in AI/ML technology, including deep learning, time series modeling, natural language processing, and unsupervised learning.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. The right person for this role should be experienced in crafting implementation for either machine learning technologies or data-driven algorithms.
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Collaborate with systems engineering and product development teams and apply a systems mindset to develop and evaluate designs from a design input requirements / design outputs perspective that span across multiple product interfaces like electro-mechanical, electro-chemical sensors, embedded firmware and machine learning algorithms.
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data learning jobs in Geneva, IL
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