9,785 Artificial Intelligence Specialist jobs in the United States

Build an exciting, rewarding career with us help us make a difference for millions of people every day. Consider joining the Duke Energy team, where you'll find a friendly work environment, opportunities for growth and development, recognition for your work, and competitive pay and benefits.

As a Lead Artificial Intelligence Specialist in the MADLab, you will play a crucial role in educating both technical and non-technical individuals about AI. You will present AI topics in settings ranging from one-on-one meetings to large groups that may encompass hundreds of people. You will serve as the AI expert for AI-specific design thinking workshops, helping participants understand what AI is and what it can and cannot do. In these workshops, you will serve as the AI expert, focusing on ideation, early-stage idea development, and understanding the groups' AI readiness. In addition, you will collaborate with technical teams to stay current on AI tools and products available both within Duke Energy and across the broader market. You'll assess the feasibility of ideas generated during workshops by developing short-term feasibility studies and pilots using AWS and Python and apply prompt engineering techniques for use cases suited to tools like Copilot or other LLM/Multi-modal models. This role requires someone who is proactive, collaborative, and confident interfacing directly with business partners through general conversation, presentations, demos and AI-focused discussions.

• Support, collaborate & work alongside Data Scientists and AI Specialists to ensure data optimization, model performance & delivery
• Growing AI knowledge through partnerships with various lines of business's
• Team member mentor (professional and technical development)
• Team leader AI compliance (Cyber, Cloud, Architecture)
• Support various product teams with dev, implement & deployment
• Ensure product teams are well represented and properly staffed
• Complete understanding of team product portfolio and value proposition
• Assists with discovery on bleeding edge technologies/tools to incorporate within team

• Associates degree
• Minimum 7 years related work experience
• In lieu of Associates degree(s) AND 7 year(s) related work experience listed above, High School/GED AND 9 year(s) related work experience

• Knowledge of Artificial Intelligence, Machine Learning technologies classifications, regressions and neural networks (Deep Learning)

• Hybrid Mobility Classification Work will be performed from both remote and onsite locations after the onboarding period. However, hybrid employees should live within a reasonable daily commute to a Duke Energy facility.
• Office Job environment day shift.

• Experience in working with Data Scientist within an AI Organization
• Strong communication skills
• Team player

Travel Requirements 5-15%

No

No

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Posting Expiration Date Tuesday, July 29, 2025 All job postings expire at 12:01 AM on the posting expiration date.

Please note that in order to be considered for this position, you must possess all of the basic/required qualifications.

Direct message the job poster from Bestinfo Systems LLC

Position: AI Agent Builder

Job Type: Full-Time (FTE)

Base Salary: $100,000 to $00,000 + Best-in-class benefits

This is a hybrid position focusing on the quick and iterative development of AI agents and frameworks, as well as advancing the underlying infrastructure. You will:

• Build next-generation AI agents for workload management and automation.
• Develop the underlying agent infrastructure powering various types of agents.
• Engage in DevRel and create content to promote adoption, foster community collaboration, and align technical and product goals.

• Prototype & Iterate: Build and refine AI agents for workload management, automation, and real-time decision-making.
• Framework Integration: Extend agent frameworks to accommodate evolving features and performance needs.
• Experimental Features: Explore new capabilities like multi-agent collaboration and memory architectures to inform design decisions.

• Python (FastAPI, Async): Building agent logic, REST APIs, backend services.
• Pytorch
• TypeScript/React/Next.js: Creating dashboards and visualizations for monitoring.
• Real-time & WebSocket Systems: Building streaming or live-updating UIs.
• API Design: Crafting intuitive interfaces for agent communication.

• Rust: Systems programming for high-performance components.
• Kubernetes, Docker: Container orchestration and deployment.
• Infrastructure automation and configuration management.
• Cloud Experience: Familiarity with scalable, cost-effective infrastructure.

• GPU/ML Infrastructure: Optimizing training and inference on GPUs.
• Advanced AI/ML Knowledge: Understanding model architectures and workflows.
• High-Performance Networking: Building low-latency data pipelines.
• Open-Source Contributions: Proven community-driven project experience.

Seniority Level: Mid-Senior

Minimum Education: Bachelor's Degree

• Employment Type: Full-time
• Job Function: Information Technology and Engineering
• Industries: Information Services, Technology, Media, Software Development

Referrals increase your chances of interviewing at Bestinfo Systems LLC by 2x.

Location: San Francisco, CA

Salary Range: 90,000 - 300,000 (various postings)

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).
• 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.

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)

Join to apply for the Deep Learning Researcher role at Topaz Labs 1 year ago Be among the first 25 applicants Join to apply for the Deep Learning Researcher role at Topaz Labs 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. Seniority level Seniority level Not Applicable Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Topaz Labs by 2x Sign in to set job alerts for “Deep Learning Researcher” roles. We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Join to apply for the Deep Learning Engineer role at Carbon Robotics Join to apply for the Deep Learning Engineer role at Carbon Robotics This range is provided by Carbon Robotics. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $130,000.00/yr - $90,000.00/yr Direct message the job poster from Carbon Robotics 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 $1 7 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. YouTube | X | Instagram | LinkedIn | News 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 Experiences for Success: 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 Qualified applicants may receive a short survey after applying to help the team learn more about you. Compensation Range spans multiple levels. Salary offered is determined by experience, level and relevant skills. Carbon Robotics follows equitable hiring practices. Flexibility in our hiring process allows hiring of talent at levels different from what are posted. The compensation range outlined is based on a target budgeted base salary. Individual base pay depends on various factors such as relevant experience and skill, Interview assessments and responsibility of role, job duties/requirements. Offers are determined using our equitable hiring practices. Carbon Robotics offers additional compensation in the form of benefits premiums, pre-IPO stock options and On Target Earning commissions for appropriate positions. Base pay ranges are reviewed each year. We are committed to the principle of pay equity – paying employees equitably for similar work. Carbon Robotics' base salary pay range: $130,000 290,000 USD Why would you join Carbon Robotics? Passion for building teams capable of solving uniquely interesting problems . Innovation while disrupting the market is what we do. Profiled in WSJ and Forbes, Carbon Robotics is poised to become the next billion dollar company in the rapidly growing worldwide Ag-Tech industry. We offer competitive compensation and benefits to our full time US based* employees, including: Pre-IPO Stock Options 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 Life Insurance Long Term Disability Flexible PTO 401(k) plan Pet Insurance Work Culture: Be a part of an inclusive and tight-knit company culture that values innovation and mission-driven success. Internationally based employees benefits varies & Contractors are not eligible for Carbon Robotics Benefits or Stock Carbon Robotics is building a culture of diversity and inclusion for all. We welcome everyone’s voice and believe in open and transparent communication. We believe the best products, services, and companies are built by strong teams that include a diversity of backgrounds, perspectives, ideas, and experiences. We are committed to supporting and enabling growth and opportunity for every employee at every level. This is the foundation to which we will build a truly unique environment. We are equally committed to equal employment opportunity, and it is foundational to how we recruit and hire our talented team. Employment is determined based upon capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including potential pregnancy, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability , HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law. Seniority level Seniority level Not Applicable Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Automation Machinery Manufacturing Referrals increase your chances of interviewing at Carbon Robotics by 2x Get notified about new Deep Learning Engineer jobs in Seattle, WA . Seattle, WA $9 ,500.00- 187,000.00 2 days ago Seattle, WA 100,000.00- 220,000.00 3 months ago Seattle, WA 145,611.00- 204,000.00 7 hours ago Machine Learning Engineer, Stripe Capital Bellevue, WA 125,000.00- 168,000.00 7 hours ago Machine Learning Research Scientist / Research Engineer, Science of Data Machine Learning Engineer Graduate Data-Search - TikTok.US - San Jose) - 2025 Start (BS/MS) Seattle, WA 106,400.00- 168,150.00 1 week ago Greater Seattle Area 155,000.00- 175,000.00 6 hours ago Seattle, WA 118,657.00- 168,150.00 1 week ago Software Engineer, Perception (All levels) Seattle, WA 120,000.00- 300,000.00 3 days ago Machine Learning Research Scientist / Research Engineer, Post-Training Seattle, WA 127,000.00- 240,000.00 2 weeks ago Bellevue, WA 110,000.00- 120,000.00 1 month ago Machine Learning Engineer, Computer Vision Seattle, WA 65,000.00- 110,000.00 3 weeks ago Seattle, WA 137,750.00- 237,500.00 3 days ago Bellevue, WA 65,000.00- 110,000.00 3 weeks ago Seattle, WA 106,590.00- 139,650.00 2 weeks ago Machine Learning Engineer, Identity Product Seattle, WA 212,000.00- 318,000.00 5 days ago Machine Learning Engineer, GenAI Quality Seattle, WA 140,000.00- 190,000.00 1 month ago Bellevue, WA 123,200.00- 184,800.00 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

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. Qualifications: 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). 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). Preferred Qualifications: 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. Join us as we embark on this journey to redefine the future of biology and medicine. We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. #J-18808-Ljbffr