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Deep learning • usa

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Deep Learning Researcher

Deep Learning Researcher

Topaz LabsDallas, TX, US
[job_card.full_time]
We're Topaz Labs, an AI tech company that builds software to solve imaging problems like denoising, super-resolution, and deconvolution with deep learning. Over 1M photographers and designers tr...[show_more][last_updated.last_updated_30]
Principal Deep Learning Engineer

Principal Deep Learning Engineer

Expedition TechnologyHerndon, VA, US
[job_card.full_time]
At Expedition Technology (EXP), we work on real-world problems whose solutions will make an immediate impact on national security. If you desire an opportunity where you will apply your deep learnin...[show_more][last_updated.last_updated_30]
Research Fellow Deep Learning

Research Fellow Deep Learning

Mass General BrighamBoston, New Hampshire, USA
[job_card.full_time]
Site : Massachusetts Eye and Ear Infirmary.Mass General Brigham relies on a wide range of professionals including doctors nurses business people tech experts researchers and systems analysts to adva...[show_more][last_updated.last_updated_30]
Deep Learning Researcher 1900S-2

Deep Learning Researcher 1900S-2

E Ink CorporationBillerica, MA, US
[job_card.full_time]
Team up with the most innovative company where Imagination becomes reality! E Ink is the originator, pioneer, and commercial leader in ePaper technology. The Billerica Research & Development tea...[show_more][last_updated.last_updated_variable_days]
  • [promoted]
Postdoc (Deep Learning Research / Engineering)

Postdoc (Deep Learning Research / Engineering)

St. Jude Children's Research HospitalMemphis, TN, United States
[job_card.full_time]
Join an excellent team of researchers dedicated to coming closer to the mission of St.Jude Children's Research Hospital, that no child will die at the dawn of life. The Quantum AI for Bio (QAI4Bio) ...[show_more][last_updated.last_updated_variable_days]
Deep Learning Researcher

Deep Learning Researcher

TEEMADallas, TX
[job_card.full_time] +1
Our client, an AI tech company that builds software to solve imaging problems like denoising, super-resolution, and deconvolution with deep learning. Over 1M photographers and designers trust them w...[show_more][last_updated.last_updated_30]
  • [promoted]
Research Intern - Deep Learning Group

Research Intern - Deep Learning Group

Microsoft CorporationRedmond, WA, United States
[job_card.full_time]
Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue inno...[show_more][last_updated.last_updated_30]
Senior Deep Learning Engineer

Senior Deep Learning Engineer

Hayden AISan Francisco, California, USA
[job_card.full_time]
At Hayden AI we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges. From bus lane and bus stop ...[show_more][last_updated.last_updated_variable_days]
  • [new]
Deep Learning Compiler Engineer

Deep Learning Compiler Engineer

quadric.ioBurlingame, CA, United States
[job_card.full_time]
Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture.Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads...[show_more][last_updated.last_updated_variable_hours]
Deep Learning Research Scientist

Deep Learning Research Scientist

TalentPros.AISan Francisco, CA, US
[job_card.full_time]
Our mission is to create reliable, interpretable, and steerable AI systems.We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of commi...[show_more][last_updated.last_updated_30]
Deep Learning Engineer

Deep Learning Engineer

MatroidPalo Alto, California, United States
[job_card.full_time]
Matroid is a full-service computer vision company that has developed an end-to-end platform allowing enterprise customers to rapidly train and. EO, IR, X-Ray, CT, OCT, and others.Founded in 2016 by ...[show_more][last_updated.last_updated_30]
Deep Learning Intern, Model Optimization

Deep Learning Intern, Model Optimization

IntrinsicMountain View, California, USA
[job_card.full_time]
Intrinsic is Alphabets bet aiming to reimagine the potential of industrial robotics.Our team believes that advances in AI perception and simulation will redefine whats possible for industrial robot...[show_more][last_updated.last_updated_variable_days]
  • [promoted]
Manager, Deep Learning Algorithms

Manager, Deep Learning Algorithms

NVIDIASanta Clara, CA, US
[job_card.full_time]
Engineering Manager For Deep Learning Models.NVIDIA is seeking an engineering manager to lead engineering activities related to productizing Deep Learning models. Academic and commercial groups arou...[show_more][last_updated.last_updated_30]
Deep Learning Compiler Engineer

Deep Learning Compiler Engineer

quadric, IncBurlingame, CA, US
[job_card.full_time]
Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture.Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workl...[show_more][last_updated.last_updated_30]
  • [promoted]
Deep Learning Algorithm Developer

Deep Learning Algorithm Developer

Toyon ResearchAshburn, VA, United States
[job_card.full_time]
Ability to qualify for a US Department of Defense security clearance required.Toyon has openings for researchers and developers to solve challenging real-world problems using Artificial Intelligenc...[show_more][last_updated.last_updated_variable_days]
Software Engineer, Deep Learning

Software Engineer, Deep Learning

pony.aiFremont, CA, US
[job_card.full_time]
Founded in 2016 in Silicon Valley, Pony.Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony. CNBC Disruptor list of the 50 most innovative and disruptive tech comp...[show_more][last_updated.last_updated_30]
Deep Learning Engineer

Deep Learning Engineer

TalentporteSaint Louis, MO, US
[job_card.permanent]
Education : Bachelor’s degree in Computer Science, Computer Engineering, AI, or related IT field.Join our cutting-edge AI team as a Deep Learning Engineer, specializing in developing and deplo...[show_more][last_updated.last_updated_30]
Deep Learning Engineer

Deep Learning Engineer

GenBio AIPalo Alto, CA, US
[job_card.full_time]
Headquartered in Silicon Valley, we are a newly established start-up, where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology...[show_more][last_updated.last_updated_30]
Senior Deep Learning Engineer

Senior Deep Learning Engineer

Targeted TalentAustin, TX, US
[job_card.full_time] +1
We're seeking top-notch engineers to join our team.As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, maki...[show_more][last_updated.last_updated_30]
Deep Learning Researcher

Deep Learning Researcher

Topaz LabsDallas, TX, US
[job_card.30_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

Job Description

Job Description

We're Topaz Labs, an AI tech company that builds software to solve imaging problems like denoising, super-resolution, and deconvolution with deep learning. Over 1M photographers and designers trust us with their work, including on teams at Google, Nvidia, NASA, and more. We've processed over 1 billion images, achieved 1000% revenue growth in the last 4 years, and we're only getting started.

We’re looking for a Deep Learning Researcher to help us push the state-of-the-art in image and video enhancement. Your primary responsibility will be to explore and develop new deep learning models to solve inverse problems in imaging. You'll also evaluate customer feedback and image data to gauge performance and refine your models based on real-world usage.

About us

  • Rocketship growth and opportunity for impact ($3M → $30M revenue in four years)
  • Over 1 million customers (including companies like Apple, NASA, Netflix) have used us for over 1 billion photos. Our tech has been covered by Fast Company, The Verge, Engadget, Mashable, BBC, and more
  • World-class team that executes quickly, obsesses about the customer experience, and promotes from within
  • Profitable company with infinite runway

About you

  • PhD in related field, or equivalent industry experience
  • Prior key contributor to significant deep learning projects for image enhancement or image processing
  • Significant prior experience with CNNs and other common computer vision network architectures
  • 2 years of hands-on experience with TensorFlow or PyTorch
  • Good understanding of common image processing algorithms
  • Working knowledge of C / C++
  • Well-read on major recent research papers in deep learning for image or video enhancement
  • Aside from technical understanding and research skills, we're looking for someone with a strong work ethic, intellectual humility, and a shipping mentality. We’re a small company with a high-visibility and high-performance culture, so you will work with a high degree of impact and autonomy. You'll also collaborate closely with other world-class researchers to exchange ideas and solve problems together.

    Our technology advantage has already driven strong success for our company, and your contributions will directly help determine our future growth. We offer strong base salary plus significant ownership that scales with the company's growth. We also offer 100% covered medical / dental / vision for employees, 15 days annual PTO plus holidays, and 401k matching. This is a full-time on-site role in Dallas, TX, and we will ask you to relocate if you're not in the area.

    We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.