10,298 Deep Learning Engineer 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.

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.

Job DescriptionJob Description

At Expedition Technology (EXP), we work on real-world problems whose solutions will make an immediate impact on security. If you desire an opportunity where you will apply your deep learning engineering expertise to challenging problems with no previously known solutions, EXP is the place to be!  

We are seeking a Senior Level Engineer who will work with state-of-the-art large multi-modal models as applied to image and processing. As part of our team, you'll use your knowledge of foundation models to customize and finetune downstream models that solve specific tasks. In particular, we seek novel techniques to assess model robustness and counter-AI vulnerabilities of foundation models. You'll have the opportunity to dive into models with complex architectures and use your coding expertise to modify them to our use cases. You'll have the freedom to scour current research to stay abreast of advances in Large Models (LLMs), Large Vision Models (LVMs), Large Vision Models (LVLMs), as well as other foundation models and apply that knowledge to address Intelligence Community (IC) challenges.

If you're energized to work in a "hands on keyboard" role alongside a dynamic team that is delivering novel solutions to the US DOD and Intel Communities in the areas of applied AI/DL, we'd like to talk with you.

Here's what you'll need to succeed: 

  Requirements:

• United States Citizenship – All candidates MUST be US and eligible for a US-government issued security clearance of Top Secret or higher
• BS, MS, or Ph.D. in Computer Science, Engineering, Math, or related field
• Eight (8) plus years of hands-on engineering experience in Deep Learning with a focus on developing computer vision applications and natural processing (NLP)

Skills and Experience:

• Proven proficiency in PyTorch, TensorFlow, or other modern machine learning framework
• Solid theoretical understanding of deep neural networks as well as their applications, particularly in computer vision, object detection, and NLP
• Experience with foundation models like CLIP, BLIP-2, Mini GPT-4, or Open Flamingo
• Experience with training and evaluating different ViT type architectures
• Proven experience architecting, training, testing, and deploying machine learning solutions within an AWS environment
• Strong software development skills to include object-oriented design and implementation in like Python
• Strong technical presentation and writing skills
• Experience using collaborative source code management tools (Git)
• Experience with software testing (unit, integration, functional, etc.)
• Exposure to software containerization with Docker, Linux, and cloud development
• Exposure with the full software development lifecycle, CI/CD, agile/scrum methodologies

Qualifications:

• Active Secret US Government security clearance (must be eligible to upgrade to TS/SCI)
• Ability to thrive in a collaborative, team-oriented culture and make an impact on innovation

Clearance Required: Secret

Who is Expedition Technology?

Expedition Technology (EXP) designs, develops, and delivers innovative, advanced signal, image, and multi-INT solutions for the defense and intelligence communities. We leverage advanced algorithms, platforms, and technologies to solve our customers' most complex, demanding, and urgent C4ISR challenges. Our culture promotes individual growth and opportunity, prioritizes a collaborative team spirit, and invites the intellectually curious to creatively solve challenging problems. Headquartered in Northern Virginia's high-tech corridor, EXP is a rapidly growing, privately held, employee-owned company that pushes the boundaries of what is possible every day.

Interested in joining our team? Let's explore together.

To learn more about EXP and discover why we are an award-winning workplace, visit our web site and follow us on LinkedIn.

Join Our Team and Enjoy Exceptional Benefits!

Expedition Technology (EXP) offers a flexible, self-directed benefits package that is designed to fit your individual needs. Here's a glimpse of the outstanding benefits you can enjoy when you join our team:

• Company-paid medical, dental, and vision insurance
• Generous Time Off : Enjoy 12 paid holidays, up to 33 days of PTO, and generous sick leave
• Robust 401(k) Plan : Benefit from up to a 12% company contribution, including a 3% safe harbor, 6% match, and up to 3% additional as a form of profit sharing.
• Student Loan Repayment : Take advantage of our unique option to reallocate a portion of your 401(k) match funds to repay student loans, helping you achieve financial freedom faster.
• Paid Parental Leave :Six weeks of paid leave for the primary caregiver and 2 weeks of paid leave for the secondary caregiver for you to bond with your new family member.
• Tuition Reimbursement : Pursue further education with up to $5,250/year available to support your continuous learning and growth.
• Referral Bonus Program : Earn rewards for bringing talented individuals into our team.
• Exclusive Entertainment Perks : Enjoy free tickets to sporting events, theater, concerts, and more, adding fun and excitement to your life.
• Onsite Amenities : Stay fit and healthy with our free, onsite fitness center, active workstations featuring treadmill and bike desks, and enjoy our onsite cafeteria with reduced-cost options.
• Inspiring Work Culture : Thrive in a collaborative, creative, and supportive culture where you are encouraged to push boundaries, take risks, and enjoy the rewards.

Join us and be part of a team that values your well-being and professional growth. Apply today and take the first step towards a fulfilling career with us!

EXP is proud to be an Equal Opportunity Employer that believes a diverse range of talent creates an environment that fosters creativity and innovation . All qualified applicants will receive consideration for employment without regard to , , , , , , , , , genetic information, or protected veteran status.

Job DescriptionJob Description

Owl.co empowers insurers to combat illegitimate claims on a large scale while eliminating human bias from the process. Our clients are top insurance companies across North America, achieving remarkable results through our AI-powered, evidence-based platform. We are on a mission to integrate state-of-the-art ML and NLP methods to transform this traditionally manual activity into a fair process. We are well-funded and have engineering offices in New York City, Toronto, and Vancouver.

In this position, you'll collaborate closely with cross-functional teams to design, implement, and optimize systems that are reshaping how insurers detect and handle illegitimate claims.

This role is 5 days per week onsite in our Chelsea office in NYC.

Responsibilities:

• Develop algorithms based on state-of-the-art machine learning and neural network methodologies.
• Train, evaluate and deploy DL models that enable Owl products.
• Conduct and collaborate on research projects that advance product capabilities.

Requirements

Minimum Qualifications:

• Bachelor's degree in Computer Science or relevant technical field.
• PhD in computer vision and/or machine learning or related areas.
• 2+ years of industry, academic, or government lab experience in computer vision and/or machine learning.
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
• Experience in utilizing Generative AI technology and model finetuning (instruct tuning, SFT, RLHF, etc.).
• Experience communicating research for public audiences or peers.

Qualifications:

• First-authored publications at peer-reviewed conferences (e.g. CVPR. ECCV, ICCV, NeurIPS, and SIGGRAPH).
• 4+ year(s) of work experience in an industry, university, or government lab.

Benefits

Why join Owl?

• Industry Leaders : Our technical leadership comes from Meta, Microsoft, X, and Goldman Sachs, bringing world-class expertise to our agile team.

• Market Leadershi p: We hold the largest market share in our space, offering a proven ROI and maintaining a 100% customer retention rate , with renewals consistently doubling their previous terms.

• Lean & Impact Driven Team : Our small, nimble team makes swift decisions and encourages direct communication and innovation through a flat organizational structure. You’ll make real, meaningful contributions right from the start.

• Established Product-Market Fit : AI-Driven Product that helps shape an AI-powered enterprise solution for insurance companies across the US and Canada.

• Healthcare benefits: we cover 100% of the premiums for you and 70% for your family (medical, dental & vision)

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.

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.

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 learning engineering expertise to challenging problems with no previously known solutions, EXP is the place to be!

We are seeking a Senior Level Engineer who will work with state-of-the-art large multi-modal models as applied to image and language processing. As part of our team, you'll use your knowledge of foundation models to customize and finetune downstream models that solve specific tasks. In particular, we seek novel techniques to assess model robustness and counter-AI vulnerabilities of foundation models. You'll have the opportunity to dive into models with complex architectures and use your coding expertise to modify them to our use cases. You'll have the freedom to scour current research to stay abreast of advances in Large Language Models (LLMs), Large Vision Models (LVMs), Large Vision Language Models (LVLMs), as well as other foundation models and apply that knowledge to address Intelligence Community (IC) challenges.

If you're energized to work in a "hands on keyboard" role alongside a dynamic team that is delivering novel solutions to the US DOD and Intel Communities in the areas of applied AI/DL, we'd like to talk with you.

Here's what you'll need to succeed:

Requirements:

• United States Citizenship - All candidates MUST be US Citizens and eligible for a US-government issued security clearance of Top Secret or higher
• BS, MS, or Ph.D. in Computer Science, Engineering, Math, or related field
• Eight (8) plus years of hands-on engineering experience in Deep Learning with a focus on developing computer vision applications and natural language processing (NLP)

• Proven proficiency in PyTorch, TensorFlow, or other modern machine learning framework
• Solid theoretical understanding of deep neural networks as well as their applications, particularly in computer vision, object detection, and NLP
• Experience with foundation models like CLIP, BLIP-2, Mini GPT-4, or Open Flamingo
• Experience with training and evaluating different ViT type architectures
• Proven experience architecting, training, testing, and deploying machine learning solutions within an AWS environment
• Strong software development skills to include object-oriented design and implementation in languages like Python
• Strong technical presentation and writing skills
• Experience using collaborative source code management tools (Git)
• Experience with software testing (unit, integration, functional, etc.)
• Exposure to software containerization with Docker, Linux, and cloud development
• Exposure with the full software development lifecycle, CI/CD, agile/scrum methodologies

• Active Secret US Government security clearance (must be eligible to upgrade to TS/SCI)
• Ability to thrive in a collaborative, team-oriented culture and make an impact on innovation

• Company-paid medical, dental, and vision insurance
• Generous Time Off : Enjoy 12 paid holidays, up to 33 days of PTO, and generous sick leave
• Robust 401(k) Plan : Benefit from up to a 12% company contribution, including a 3% safe harbor, 6% match, and up to 3% additional as a form of profit sharing.
• Student Loan Repayment : Take advantage of our unique option to reallocate a portion of your 401(k) match funds to repay student loans, helping you achieve financial freedom faster.
• Paid Parental Leave :Six weeks of paid leave for the primary caregiver and 2 weeks of paid leave for the secondary caregiver for you to bond with your new family member.
• Tuition Reimbursement : Pursue further education with up to $5,250/year available to support your continuous learning and growth.
• Referral Bonus Program : Earn rewards for bringing talented individuals into our team.
• Exclusive Entertainment Perks : Enjoy free tickets to sporting events, theater, concerts, and more, adding fun and excitement to your life.
• Onsite Amenities : Stay fit and healthy with our free, onsite fitness center, active workstations featuring treadmill and bike desks, and enjoy our onsite cafeteria with reduced-cost options.
• Inspiring Work Culture : Thrive in a collaborative, creative, and supportive culture where you are encouraged to push boundaries, take risks, and enjoy the rewards.

Owl.co empowers insurers to combat illegitimate claims on a large scale while eliminating human bias from the process. Our clients are top insurance companies across North America, achieving remarkable results through our AI-powered, evidence-based platform. We are on a mission to integrate state-of-the-art ML and NLP methods to transform this traditionally manual activity into a fair process. We are well-funded and have engineering offices in New York City, Toronto, and Vancouver.

In this position, you'll collaborate closely with cross-functional teams to design, implement, and optimize systems that are reshaping how insurers detect and handle illegitimate claims.

This role is 5 days per week onsite in our Chelsea office in NYC. 

Responsibilities:

• Develop algorithms based on state-of-the-art machine learning and neural network methodologies.
• Train, evaluate and deploy DL models that enable Owl products.
• Conduct and collaborate on research projects that advance product capabilities.

Requirements

Minimum Qualifications:

• Bachelor's degree in Computer Science or relevant technical field.
• PhD in computer vision and/or machine learning or related areas.
• 2+ years of industry, academic, or government lab experience in computer vision and/or machine learning.
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
• Experience in utilizing Generative AI technology and model finetuning (instruct tuning, SFT, RLHF, etc.).
• Experience communicating research for public audiences or peers.

Preferred Qualifications:

• First-authored publications at peer-reviewed conferences (e.g. CVPR. ECCV, ICCV, NeurIPS, and SIGGRAPH).
• 4+ year(s) of work experience in an industry, university, or government lab.

Benefits

Why join Owl?

• Industry Leaders : Our technical leadership comes from Meta, Microsoft, X, and Goldman Sachs, bringing world-class expertise to our agile team.

• Market Leadershi p: We hold the largest market share in our space, offering a proven ROI and maintaining a 100% customer retention rate , with renewals consistently doubling their previous terms.

• Lean & Impact Driven Team : Our small, nimble team makes swift decisions and encourages direct communication and innovation through a flat organizational structure. You’ll make real, meaningful contributions right from the start.

• Established Product-Market Fit : AI-Driven Product that helps shape an AI-powered enterprise solution for insurance companies across the US and Canada.

• Healthcare benefits: we cover 100% of the premiums for you and 70% for your family (medical, dental & vision)

• Define and lead projects, driving the entire perception system development life cycle from problem definition to deployment and ongoing improvement.
• Lead and mentor cross-functional teams.
• Actively contribute to the development and refinement of the perception system in a hands-on manner.
• Develop robust computer vision algorithms for object detection, tracking, semantic segmentation, and classification.
• Design and train deep learning models for complex urban scene perception and real-time analysis.
• Collaborate with cross-functional teams (cloud/device) for seamless integration and monitoring of perception models.
• Analyze data to identify performance bottlenecks and opportunities for enhancing the perception system.
• Automate the improvement cycles of deep learning models used within the perception system.
• Communicate technical findings and insights effectively to stakeholders across the company to drive performance improvements.
• Utilize data visualization tools to present complex information clearly for informed decision-making.

• Ph.D. or Master's in Robotics, Machine Learning, Computer Science, Electrical Engineering, or a related field.
• 10+ years of relevant experience in machine learning, deep learning and computer vision (object tracking, semantic segmentation, urban scene understanding).
• Proven ability to deploy deep learning systems in real customer-facing production environments.
• Deep Learning Frameworks: Expertise in PyTorch or TensorFlow (one mandatory, familiarity with both a plus).
• Computer Vision Libraries: OpenCV.
• Deployment Optimization Tools: TensorRT.
• Strong Python programming and software design with experience in Pandas.
• Experience deploying DL models to run on real-world, resource-constrained systems with a pragmatic approach towards problem-solving.
• Demonstrated proficiency in data science and traditional machine learning (SVMs, Random Forests). Prior experience with automated machine learning pipelines is desirable.
• Proven industry track record with experience in:
• Automated data annotation for computer vision.
• Training multi-task and semi-supervised deep learning models for video data.
• Familiarity with designing multimodal deep learning models that incorporate temporal context and geometrical constraints is a plus.
• Cross-functional knowledge of cloud and device systems for deployment