7,995 AI Expertise jobs in the United States

• 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.

• 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

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 and medicine through the power of Generative AI. Our team comprises leading minds and innovators in AI and Biological Science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.

We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our exceptionally strong R&D team and leadership in LLM and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.

Key Responsibilities:

• Design, develop, optimize, and maintain software systems for the entire foundation model development and deployment lifecycle (i.e., data pipeline, pre-training, fine-tuning, serving).
• Build and maintain scalable, efficient, and reusable codebases for large-scale foundation model training, adaptation, evaluation, and inference.
• Collaborate closely with data engineers and research scientists to integrate models into production environments.
• Implement and ensure best practices in software engineering, including code quality, testing, and documentation.
• Build and optimize robust back-end systems, APIs, and databases to support complex workflows.
• Ensure code quality, scalability, and performance through rigorous testing and code reviews.

• Bachelor's, Master's degree in Computer Science, Engineering, or related field. Experience in life sciences or healthcare is a plus.
• Strong programming skills in JavaScript, Python, and modern web development frameworks, and familiarity with GPU-accelerated tools (e.g., CUDA, cuDNN, Triton).
• Proficiency with major deep learning frameworks such as PyTorch, HuggingFace Transformers & Accelerate, or Megatron-LM/DeepSpeed.
• Familiarity with resource management and scheduling systems (e.g., SLURM, Kubernetes).
• Have direct ML Ops platform experience, such as kubeflow pipelines, argo workflows, apache airflow, or metaflow.
• Proficiency in back-end frameworks like Django, Flask, or Node. js, and database technologies (e.g., PostgreSQL, MongoDB).
• Expertise in distributed systems, cloud computing (AWS, GCP), and containerization tools (Docker, Kubernetes).

• Ph.D. degree in Computer Science, Engineering, or related field. Experience in life sciences or healthcare is a plus.
• Prior experience pre-training or serving large language models or large-scale foundation models.
• Experience with deep learning workflows.
• Knowledge of biological data types and challenges and experience with bioinformatics tools.
• Familiarity with version control systems like Git and CI/CD pipelines.
• Strong understanding of RESTful APIs, authentication, and deployment pipelines
• Familiarity with machine learning workflows and biological datasets.

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

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.

Position: AIML Engineer
Location: NJ,USA , OR Tampa,FL
Hybrid

We are looking for immediate onboarding of resource who has expertise in designing and implementing LLM models .

Requirements :

• Senior dev lead with experience in implementing LLM models.
• Experience in AWS platform , bedrock, and sage maker.
• Preferred experience in open-source embedding models (GTE model) , spacy and NER models

• Develop and maintain Python-based applications and microservices.
• Design and deploy containerized solutions using Docker and Kubernetes.
• Integrate AI capabilities using frameworks like Semantic Kernel and agent-based architectures.
• Collaborate with cross-functional teams to operationalize AI models.
• Engineer solutions that blend conventional software engineering with AI-driven components.
• Stay current with emerging application development methods and AI technologies and evaluate their practical applications.

• Strong proficiency in Python and libraries such as FastAPI, Flask, and asyncio.
• Experience with containerization, CI/CD pipelines, and cloud-native development.
• Familiarity with AI orchestration frameworks (e.g., Semantic Kernel, LangChain).
• Understanding of prompt engineering, vector databases, and LLM integration to applications.
• Knowledge of software design patterns and scalable architecture principles.

• Experience with Azure services , including Azure Functions, Azure Container Apps, Azure AI Studio, and Azure DevOps.
• Ability to leverage Azure for deploying and scaling intelligent applications

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)