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Computational Photography/Computer Vision Machine Learning Engineer, Camera & Photos
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Dormont Manufacturing CompanyDenverSpace is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.OUR MISSIONTrue Anomaly delivers decisive capabilities for space superiorit
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KitwareUnited StatesJob Duties Team Description:Kitware is a leader in advanced research and algorithm development in artificial intelligence (AI), spanning computer vision (CV), natural language processing (NLP), vision
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NYU Langone HealthNew YorkPosition Summary We have an exciting opportunity to join our team as a Engineer II - Applied AI.As a ML Engineer, you will support the implementation of diverse Generative AI and Machine Learning init
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Phase2 TechnologyAlexandriaJob #: R0242766Opportunity As an experienced AI and ML engineer, you will train, test, deploy, and maintain models that learn from data. You will own and define the direction of mission‑critical solut
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Vannevar LabsNew YorkVannevar is a defense technology company building AI to deter our adversaries. In the 21st century, conflict moves at algorithmic speed and foresight equals firepower. Our agentic AI is purpose-built
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The TalentHausNew YorkThis range is provided by The TalentHaus. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range$200,000.00/yr - $300,000.00/yr Additional
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ICW INSURANCE COMPANY OF THE WESTNorforkPurpose of the Job The Machine Learning Engineer (MLE) selected for this role at ICW Group will build and deploy high-performing machine learning models across the enterprise. As an MLE on the rapidly
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IMC B.V.ChicagoAs a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with l
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Phase2 TechnologyWashingtonJob Number: R0241353The Opportunity As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistic
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LumenaltaNew YorkAt Lumenalta, we partner with forward-thinking organizations to build technology solutions that scale, delight users, and accelerate business growth. Our global teams bring curiosity, commitment, and
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RadarSan DiegoSan Diego, CA or Sunnyvale, CA or Remote ABOUT US At RADAR, we're transforming the way the world thinks about physical retail. RADAR has raised over $104M from top investors, retailers, and strategics
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Computational Photography/Computer Vision Machine Learning Engineer, Camera & Photos
- United States
- United States
À propos
In the Camera Imaging Algorithms team in the Camera & Photos organization, we are looking for passionate, self-driven computational photography/computer vision machine learning engineers who enjoy both innovating down to the details and collaborating with broader cross-functional teams to bring exciting new imaging technology to our Apple products. We have worked on many core algorithms in the Apple camera imaging pipeline like Deep Fusion, Photonic Engine, SmartHDR, and Panorama. In this role, you will research and develop novel machine learning techniques for various image restoration and image fusion applications and contribute to shipping the most popular camera in the world. As a machine learning engineer on our team, you will contribute to algorithm design and implementation. You will develop and train deep learning models and collaborate with cross-functional teams like camera hardware, firmware, GPU, and image quality teams to bring your innovative ideas to product. We are seeking a creative and inquisitive engineer who can leverage their knowledge of classical computer vision and computational photography techniques to build deep learning models that help us design the next generation Apple camera imaging pipeline. Minimum Qualifications
Strong coding skills in Python; experience in C/C++ a big plus Demonstrated ability in developing machine learning algorithms for computational photography/computer vision and image processing problems Extensive knowledge in camera processing pipeline, classical computer vision, and classical computational photography techniques Experience with deep learning techniques for image restoration and image fusion applications (denoising/demosaicing/super-resolution), and experience with deep learning frameworks like PyTorch or TensorFlow MS/PhD in Computer Vision, Machine Learning, Computer Science, Electrical Engineering or related fields Preferred Qualifications
Excellent verbal and written communication skills Creativity and curiosity for solving complex problems. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple's workplace Learn about reasonable accommodations for job applicants Apple accepts applications to this posting on an ongoing basis.
Compétences linguistiques
- English
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