Data Science & Machine Learning Jobs

Quality Assurance Manager - AS9100 - Bay Point, CARESPONSIBILITIES:Develop and implement quality plans and processes to support the overall quality strategy of customers.Ensure that customer requireme

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MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or. BA degree in computer vision, computer graphics, machine learning or related field. Our team delivers computer vision and machine learning algorithms that power many Apple technologies like

As a Machine Learning Engineer in the International Data Engineering team, you will join a phenomenal team of passionate engineers to design, implement and qualify Apple Intelligence features globally across a wide variety of Apple's products. We are looking for an exceptional candidate to help arch

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA. Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA. Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pine

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AI Operations Manager Location: Berkeley, CA (Onsite)Compensation: $120,000 – $160,000 + EquityAbout ShiruShiru is building the future of ingredient discovery and operating at the cutting edge of appl

For a popular Matcha Tea CafeA restaurant general manager (GM) at the cafe manages the day-to-day operations of a restaurant, including staff, budget, and customer service. We have a pastry department

As a Machine Learning Scientist - Natural Language Processing (NLP) - Vice President in the Machine Learning Center of Excellence, you will own the full lifecycle of developing and deploying machine learning solutions, from ideation to production. The CDAO is also responsible for developing and impl

Strong background in computer science: algorithms, data structures and system design with proficiency in at least one of these languages - Swift , C/C++ , Python. We're looking for a hands-on AI Engineer with strong software development skills and a passion for applying Generative AI and Machine Lea

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About HueyHuey is radically transforming disability care, starting with Autism care. Through a virtual-first care model, we are building a model that is Neurodiverse-affirming, family-centered, and de

The Community You Will Join: User Listing Marketplace Intelligence Machine Learning (ULM-ML) team: The ULM-ML team supports host personalization products and provides data driven solutions to achieve superior host experience on Airbnb. Develop, productionize, and operate Machine Learning models and

Machine Learning Engineer to help build production-grade NLP systems that power our data privacy and information extraction products. Founded in 2018, with offices in San Francisco, Atlanta, New York, and London, the company is pioneering enterprise tools for data transformation, de-identification,

The Video Computer Vision and Video Engineering teams are centralized applied research and engineering organizations responsible for developing real-time on-device Computer Vision, Machine Perception and Image Quality, technologies across Apple products. The Architecture team within our organization

Since 1989, Scalence / Artech has been helping clients solve complex technology challenges by developing innovative environments, applications, and tools. We build and maintain essential systems throu

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[Administrative Assistant / Remote] - Anywhere in U.S. / Generous Pay / Exceptional Benefits / EST Working Hours - As a Administrative Sales Support (Full Time - Work From Home), you will: Assist in t

Publications at KDD, NeurIPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS, or experience in data mining/machine learning competitions (e. PhD new grads or MS grads with 1-3 years of experience in applied machine learning, familiar with one or more algorithms such as Collaborative Filtering, Matrix F

Producing safety evaluations that uphold Apple's Responsible AI values requires thoughtful data sampling, creation, and curation for evaluation datasets; high quality, detailed annotations and careful auto-grading to assess feature performance; and mindful analysis to understand what the evaluation