10,351 Deep Learning jobs in the United States

The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning, and lasers to eliminate weeds with sub-millimeter accuracy-all without herbicides. This innovative solution reduces environmental impact, promotes soil health, and helps farmers address labor shortages and rising costs. Designed in Seattle and built at our cutting-edge manufacturing facility in Richland, Washington, the LaserWeeder is setting a new standard for automated weed control. With $157 million in funding from prominent investors such as BOND, NVentures (NVIDIA's venture arm), Anthos Capital, Fuse Venture Capital, Ignition Partners, Revolution, Sozo Ventures, and Voyager Capital , Carbon Robotics is driving innovation.

As a no-nonsense team with a bias for action, we take pride in executing our ideas. Whether it's designing transformative technology or visiting farms to ensure our products are reliable and safe, we do whatever it takes to deliver for our customers.

Working here means tackling big problems with big impact. You'll find opportunities to grow professionally, solve complex challenges, and make meaningful contributions to a mission that matters. At Carbon Robotics, we trust our team to act independently and make practical, real-world decisions.

Join us as we innovate, execute, and build the future of farming together.

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As a Deep Learning Engineer at Carbon Robotics you will design experiments to test new models and algorithms, optimize them for daily deployments to operational resources in the field, document and produce reports on your findings, and integrate them with our robotics software stack.

• Build quickly through ownership and collaboration with Engineering and Product Management

• Professional experience designing and implementing novel deep learning architectures to deliver real world computer vision solutions
• Understanding of foundational mathematical principle of deep learning architecture
• Hands-on experience across the end-to-end Machine Learning workflow - including data preparation, pipeline development, experimentation, evaluation, and deployment
• Experience with developing deep learning models at scale from inception to business impact
• Familiarity with modern object detection techniques (vision transformers, embeddings, anchor-free)
• Comfortable navigating ambiguity and evolving technical landscapes
• Effective verbal and written communication skills to explain model details and behavior to non-technical staff and customers
• Experience in deep learning model optimization and deployment
• BS+ in Data Science, Computer Science, or related field

• Competitive salaries
• Pre-IPO Stock Options
• Generous Benefits:
  • Fully-paid medical, dental, and vision insurance premiums for you and all dependents
    • Choice of PPO or HDHP/HSA
    • Virtual Care - Doctor on Demand
    • Employee Assistance Program
  • Mental Health HRA
  • Restricted Healthcare Travel support
  • Menopause Support
  • Life Insurance
  • Long Term Disability
  • Flexible PTO
  • 401(k) plan
  • Pet Insurance
  • Commuter Benefits
• Work Culture: Be a part of an inclusive and tight-knit company culture that values innovation and mission-driven success.

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

• 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

Team up with the most innovative company where Imagination becomes reality! E Ink is the originator, pioneer, and commercial leader in ePaper technology. The Fremont Research & Development team is thriving and growing as we help develop products that are changing how people access information every day. We are seeking qualified candidates who are self-driven, looking to advance their career and become a high-impact player on a team.

Our diversity of people, backgrounds, experiences, thoughts, and perspectives are fostered to create an inclusive work environment.

We offer a competitive/generous benefits package that fits the needs of our employees. It includes health, dental, vision, wellness programs, employee discounts, 401k matches, ongoing development, advancement opportunities and more. This position is also eligible for our bonus program. (see E InkOur Company)

And we're looking for a Deep Learning Engineer!

About the position:

E Ink is seeking a passionate and skilled Deep Learning Engineer to join our innovative deep learning team. In this role, you will develop and optimize modeling techniques and display driving methods for electrophoretic display systems. You will leverage your expertise in deep learning to create advanced tools and systems, enhance display performance, and contribute to the development of new products. Collaborating with cross-functional teams across global sites, you will play a pivotal role in driving innovation and achieving organizational goals. E Ink maintains a lean team where each member has strong visibility and responsibility to meet company goals. We welcome applicants that have demonstrated excellence and are motivated, flexible, and curious learners.

Responsibilities:

• Design, develop, and implement tools and systems to integrate deep learning models for electrophoretic display applications.
• Conduct in-depth analyses of model performance, architecture, and display system behavior to inform product development.
• Develop and refine novel optimization algorithms to enhance model performance and execution speed.
• Create software solutions to improve display performance using deep learning models.
• Collaborate with cross-functional teams globally to meet aggressive project timelines and deliverables.
• Conduct mathematical analyses, data mining, and system modeling to solve complex engineering challenges.
• Evaluate and optimize recurrent neural networks (LSTM, GRU, etc.) for specific applications.
• Support product development through signal processing, systems theory, and statistical modeling.
• Utilize electronic devices and laboratory equipment for performance validation and testing when needed.

• PhD, M.S., or B.S. degree in Electrical / Computer Engineering, Physics, Applied Math, or related signals & systems field plus at least three years of industrial experience
• Proficiency in deep learning optimization cycles, especially recurrent neural networks (e.g., LSTM, GRU).
• Strong expertise in one or more areas: optimization, signal processing, systems theory, statistical modeling, system identification, or machine learning.
• Programming experience required: strong preference for proficiency with MATLAB and Python and familiarity with object oriented programming concepts.
• Experience with electronic devices and laboratory tools such as oscilloscopes, power supplies, and function generators is a plus.
• Motivated, self-driven, and introspective problem solver with strong troubleshooting and improvement-oriented mindset.
• Comfortable working in a fast-paced environment with tight deadlines.
• Flexible and eager to collaborate across diverse teams.

• Competitive Total Compensation Package
• Medical, Dental and Vision on 1st day
• Company 401K match
• Paid Time Off & Holidays
• Sick Leave Policy
• Casual day to day work environment
• Hybrid/flexible work environment (for some positions)

About Matroid

Matroid is a full-service computer vision company that has developed an end-to-end platform allowing enterprise customers to rapidly train and
deploy automated visual inspection on imagery including EO, IR, X-Ray, CT, OCT, and others.

Founded in 2016 by a Stanford professor, Matroid has a broad and rapidly growing set of customers in manufacturing, industrial IoT, government and security.

We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the forefront of computer vision and deep learning applied to challenging, real-world use-cases. You will be working in a fast-paced environment, surrounded by experts who are passionate about their work.

This position is onsite at our downtown Palo Alto office, located near the Stanford campus and Caltrain.

What you'll do

• Advance the computer vision and deep learning technology powering Matroid's computer vision platform
• Keep on top of the latest developments and research in academic CV/DL and decide how we should apply them to our real world use-cases
• Engineer new DL capabilities end-to-end; research, experiment, iterate, develop, optimize and productionize

How you'll be doing it

• Operating in a collaborative but highly autonomous environment where you are empowered to make an impact
• Knowing that everything you build affects real-world users, with corresponding quality standards for your work
• Collaborating with other DL engineers, as well as our other expert teams, including product, infrastructure, and field engineering

What you bring to the table

• Masters in Computer Science, Software Engineering, Mathematics, or equivalent
• Passion for computer vision and deep learning; you are excited to adapt the latest VLMs, or implement a video transformer model from scratch, or get realtime segmentation running on a tiny edge device, or train a massive industry-specific foundation model
• 3+ years of industry and/or academic experience relating to software, deep learning and computer vision
• Experience using and modifying state-of-the-art CV models and frameworks, with understanding of their theoretical underpinnings
• Knowledge of model architectures and techniques across a broad range of domains, including object detection, segmentation, anomaly detection, object tracking, video-understanding and vision language models
• Strong software engineering skills - you care deeply about the quality of your code
• Solid oral, written, presentation, collaboration, and interpersonal communication skills

Bonus points if.

• Specialization in CV, artificial intelligence, machine learning, or related fields
• Significant computer vision & deep learning academic and/or research experience
• Prior work experience with applied computer vision in real-world use-cases
• Cool personal projects, competitions, hackathons, etc. demonstrating your passion & expertise
• Previous work at high-growth technology startups

What we offer in return

• Competitive pay and equity.
• The chance to constantly work on stimulating intellectual challenges.
• Gym membership reimbursement.
• Free lunch, healthy drinks, and snacks every day.
• Medical, dental, and vision insurance with 100% paid premiums.
• A flexible schedule that leaves time for all of your other interests.
• A budget for whatever hardware or software will make you most effective.
• Regular tech talks to discuss the latest advances in CV, DL and engineering

Matroid is committed to creating a diverse work environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

About Matroid

With the rapid growth of artificial intelligence, more and more expert knowledge is required to use cutting edge AI techniques to solve real-world problems. At Matroid, we're building an intuitive product that allows anyone to train and deploy computer vision (CV) models without needing to know how to write a line of code.

Founded in 2016 by a Stanford professor, Matroid has raised $33.5 million from NEA, Energize Ventures, and Intel Capital and has a broad range of customers and partners in manufacturing, aerospace, transportation, security and safety and compliance.

We're looking for a Deep Learning Field Engineer to operate at the forefront of CV deployment in industry - building best-in-class CV systems that leverage deep learning techniques to solve a broad range of challenging use cases, such as quality inspection, assembly verification, process optimization and safety and compliance.

You'll be working at our new office in downtown Palo Alto, just a five-minute walk from the Caltrain station.

What you'll be doing

• Train state-of-the-art CV models across a broad range of domains, such as object detection, anomaly detection, panoptic segmentation, action recognition and tracking.

• Deploy end to end CV systems across a range of environments (cloud, edge, hybrid).

• Integrate Matroid into inspection workflows and third party systems, such as manufacturing execution systems, safety alert systems and video management systems.

• Perform quantitative and qualitative evaluation of the CV system and iterate on it to meet performance requirements.

• Act as the technical expert, advising on all matters from technical scoping of engagements to model training, deployment and integration.

• Empower customers with CV by designing and leading product training sessions.

How you'll be doing it

• You will be a computer vision guru - intelligently and efficiently translating business problems into performant computer vision solutions.

• You will be a product expert - selecting the best features to solve the task at hand.

• You will be a customer advocate - understanding their intimate requirements and relaying feedback to the broader Matroid team to drive customer centric development.

• You will be an AI orchestrator – integrating deep learning solutions with customers' internal systems, actively driving decisions and delivering real-world impact.

• You will operate in a collaborative but highly autonomous environment that isn't bogged down by unnecessary meetings or project management.

• You will learn a lot along the way, diving into new technologies and the world of CV both on your own and during frequent company tech talks.

What you bring to the table

• Bachelor's degree in computer science, computer engineering, electrical engineering, or another technical field.

• Experience training and deploying state-of-the-art CV models using popular machine learning frameworks, such as TensorFlow or PyTorch.

• Strong software engineering skills.

• Solid oral, written, presentation, collaboration, and interpersonal communication skills.

• Adept at communicating to both technical and commercial audiences.

• Willingness and eligibility for security clearance up to TS/SCI.

Bonus points if.

• Graduate degree with a concentration in CV, artificial intelligence, machine learning, or related fields.

• Previous work experience in field engineering, professional services, consulting, or another customer-facing field.

• Experience with high growth technology startups.

What we offer in return

• Competitive pay and equity.

• The chance to constantly work on stimulating intellectual challenges.

• Gym membership reimbursement.

• Free lunch, healthy drinks, and snacks every day.

• Medical, dental, and vision insurance with 100% paid premiums.

• A flexible schedule that leaves time for all of your other interests.

• A budget for whatever hardware or software will make you most effective.

• Resources to learn about the cutting edge of software engineering and CV.

• You'll be working at our new office in downtown Palo Alto, just a five-minute walk from the Caltrain station.

Matroid is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

Job DescriptionJob Description

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, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field
• 5+ years of experience, with at least 2 years in both deep learning and software engineering
• Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
• Experience with CNNs, LSTMs/RNNs, Transformers
• Strong math skills and Python proficiency
• Experience with C/C++

Skills & Experience:

• Master's or PhD in Computer Science, Engineering, or related field
• Experience in embedded or low-level programming
• Knowledge of CUDA/OpenGL
• Experience deploying neural networks in production
• Familiarity with model compression techniques like quantization, pruning, etc.

These are permanent full time remote positions.

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 in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.

If making an impact and having a seat at the table is important to you, this is the opportunity for you. Join our small, rapidly-growing team at Quadric to develop supercomputer technology designed for the Edge. In this position, you will be a core member of our team, and will have an opportunity to grow in the company of expert technologists who also happen to be good people you’ll want to spend time with.

What We Value:

Integrity, Humility, Happiness

What We Expect:

Initiative, Collaboration, Completion

Role:

As a senior member of our platform software engineering team, you will be tasked with lowering and optimizing neural networks on the quadric EPU. You will design and implement algorithmic optimizations to extract maximum performance out of the Quadric architecture.

Responsibilities:

• Drive the lowering and optimization of cutting edge deep neural networks using Quadric’s technology

• Apply your skills and expertise in mathematical & algorithmic optimization toward solving NP-hard problems

• Collaborate within the software team to develop algorithms that optimize graph-based execution on the Quadric architecture

Requirements

• MS or Ph.D. in Computer Science, or related field, with a minimum of eight years of experience in the industry

• Strong background in numerical and/or algorithmic optimization

• Understanding of building application-appropriate heuristics for NP-hard problems

• Knowledge of both classical as well as ML algorithms, e.g., Computer Vision, DSP, DNNs, etc.

• Strong background in graphs and related algorithms

Nice to haves:

• Proficiency in C++ >= 11

• Experience using / developing in TVM

• Knowledge of front-end and back-end compiler techniques

Expected Outcomes in 12 months:

• Develop a deep understanding of the hardware platform and low level software and leverage that for optimal performance of applications.

• Have a proven track record of implementing optimization passes for efficient lowering of deep learning and high performance computing algorithms on the Quadric EPU parallel processor.

Benefits

• Provide competitive salaries and meaningful equity

• Provide a politics free community for the brilliant minds who want to make an immediate impact

• Provide an opportunity for you to build long term career relationships

• Foster an environment that allows for lasting personal relationships alongside professional one

Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world’s first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow’s technology, today. The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21.

Quadric is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, religion, sex, national origin, sexual orientation, age, citizenship, marital status, or disability.

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 in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.

If making an impact and having a seat at the table is important to you, this is the opportunity for you. Join our small, rapidly-growing team at Quadric to develop supercomputer technology designed for the Edge. In this position, you will be a core member of our team, and will have an opportunity to grow in the company of expert technologists who also happen to be good people you’ll want to spend time with.

What We Value:

Integrity, Humility, Happiness

What We Expect:

Initiative, Collaboration, Completion

As a senior member of our platform software engineering team, you will be tasked with lowering and optimizing neural networks on the quadric EPU. You will design and implement algorithmic optimizations to extract maximum performance out of the Quadric architecture.

• Drive the lowering and optimization of cutting edge deep neural networks using Quadric’s technology
• Apply your skills and expertise in mathematical & algorithmic optimization toward solving NP-hard problems
• Collaborate within the software team to develop algorithms that optimize graph-based execution on the Quadric architecture

Requirements

• MS or Ph.D. in Computer Science, or related field, with a minimum of eight years of experience in the industry
• Strong background in numerical and/or algorithmic optimization
• Understanding of building application-appropriate heuristics for NP-hard problems
• Knowledge of both classical as well as ML algorithms, e.g., Computer Vision, DSP, DNNs, etc.
• Strong background in graphs and related algorithms

• Proficiency in C++ >= 11
• Experience using / developing in TVM
• Knowledge of front-end and back-end compiler techniques

• Develop a deep understanding of the hardware platform and low level software and leverage that for optimal performance of applications.
• Have a proven track record of implementing optimization passes for efficient lowering of deep learning and high performance computing algorithms on the Quadric EPU parallel processor.

Benefits

• Provide competitive salaries and meaningful equity
• Provide a politics free community for the brilliant minds who want to make an immediate impact
• Provide an opportunity for you to build long term career relationships
• Foster an environment that allows for lasting personal relationships alongside professional one

Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world’s first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow’s technology, today. The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21.

Quadric is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, religion, sex, national origin, sexual orientation, age, citizenship, marital status, or disability.

We are now looking for a Senior Deep Learning Engineer! At NVIDIA, we are at the forefront of advancing the capabilities of artificial intelligence. We are seeking an ambitious and forward-thinking senior deep learning engineer to contribute to the development of next-generation inference optimizations and deliver industry-leading performance without compromising model quality. In this role, you will analyze and explore techniques to scale test-time compute and optimize low-latency inference. Your work will leverage cross-stack optimizations at the algorithmic and system level.

As NVIDIA makes significant strides in AI datacenters, our team holds a central role in maximizing the efficiency of our exponentially growing inference deployment needs and establishing a data-driven approach to algorithmic improvements, hardware design and system software development. We collaborate extensively with diverse teams at NVIDIA, spanning deep learning research and framework development teams, to silicon architecture. Thriving in such a high-impact, interdisciplinary environment necessitates not only technical proficiency but also a growth mindset and a pragmatic attitude — qualities that fuel our collective success in shaping the future of datacenter technology.

What You'll Be Doing:

• Keeping abreast of the latest advancements in generative AI research.

• Prototyping and analyzing emergent techniques in the test-time compute space such as output refinement, speculation, and retrieval. Identifying opportunities for algorithmic as well as system optimizations.

• Pioneering the development of innovative optimizations to enable high quality inferencing on NVIDIA GPUs.

• Collaborating closely with production teams to incorporate the latest advancements into cutting-edge software frameworks.

What We Need to See:

• Master's degree (or equivalent experience) in Computer Science, Artificial Intelligence, Applied Mathematics, or related fields.

• A strong foundation in deep learning, with a particular emphasis on generative models and inferencing.

• A track record of at least 5 years of relevant software development experience in modern deep learning frameworks such as PyTorch.

• Growth mindset and pragmatic attitude.

Ways to Stand Out From the Crowd:

• Published research or noteworthy contributions to the field of deep learning, particularly in areas such as inference-time compute, conditional compute, speculative decoding, etc.

• Experience with prototyping and/or deployment of emergent test time compute techniques.

• Experience with collaborating across algorithms, software and performance teams to deliver high quality solutions.

• Familiarity with computer architecture and how it relates to AI algorithms development.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits ( .

Applications for this job will be accepted at least until July 29, 2025.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.