4,907 AI Expertise jobs in the United States

A global technology leader is seeking a Deep Learning Engineer with hands-on experience in AI, computer vision, and robotics automation. The ideal candidate will research and develop advanced perception algorithms for collaborative robots (COBOTs), enabling intelligent navigation, object detection, and obstacle avoidance within industrial settings.

This position is fully onsite in Mountain View, CA .

The Deep Learning Engineer will lead research and development in computer vision for autonomous manufacturing robots. This role combines innovation and application—designing, training, and deploying machine learning models that enhance robot perception and autonomy. You’ll work closely with robotics and automation engineers to bring advanced AI capabilities to life on the production floor.

Research and develop computer vision algorithms for COBOTs and autonomous robotic systems.

Design and implement deep learning models for object detection, obstacle avoidance, and scene understanding.

Collaborate with robotics engineers to integrate and deploy models into real-world manufacturing applications.

Optimize and evaluate perception systems for accuracy, efficiency, and real-time performance.

Conduct experiments, collect and analyze data, and refine models to improve system performance.

Apply Python and AI frameworks to build and validate end-to-end vision solutions.

Stay current on emerging technologies in deep learning, AI, and robotics.

Required Qualifications

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.

2–4 years of hands-on experience in Deep Learning and Computer Vision .

Proficiency in Python and frameworks such as TensorFlow or PyTorch.

Experience with Artificial Intelligence (AI) and Robotic Process Automation (Automation Anywhere) .

Proven ability to design, train, and deploy deep learning models for real-world applications.

Preferred Experience & Skills

Familiarity with robotic perception systems and sensor fusion.

Strong understanding of machine learning workflows and MLOps best practices.

Excellent collaboration and communication skills in cross-disciplinary teams.

Research mindset with a focus on experimentation and continuous improvement.

We are seeking a highly skilled and innovative Deep Learning Researcher to join our advanced AI research team. This role involves designing, developing, and optimizing deep learning models for complex real-world applications. The ideal candidate will have a strong research background, proficiency in machine learning frameworks, and the ability to translate theoretical advancements into scalable solutions.

Responsibilities:

Conduct original research in deep learning, including model development, experimentation, and evaluation.

Design, train, and fine-tune neural network architectures for tasks such as computer vision, natural language processing, and reinforcement learning.

Collaborate with cross-functional teams to deploy models into production environments.

Publish research findings in peer-reviewed conferences and journals.

Stay current with state-of-the-art advancements in AI and deep learning.

Mentor junior researchers and contribute to building a strong research culture.

Qualifications:

Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.

Strong foundation in neural network architectures, optimization, and statistical learning.

Proven research track record, including publications in top-tier venues.

Excellent programming skills (Python, CUDA, etc.) and familiarity with GPU-based training.

Ability to communicate complex concepts clearly to both technical and non-technical stakeholders.

Hourly Pay Rate:

$40 - $65 per hour, depending on experience and research impact.

Benefits:

Comprehensive health insurance (medical, dental, vision), or a health stipend for contract or consulting roles.

Retirement plan (e.g., 401(k)) with employer matching or equivalent benefits.

Paid time off (vacation, sick leave, holidays).

Flexible or hybrid work arrangements, including remote options.

Professional development budget for conferences, workshops, and academic travel.

Publication support and research collaboration opportunities.

Access to GPU clusters, cloud compute credits, or high-performance research infrastructure.

Performance-based bonuses or equity participation where applicable.

Job Description:

• 2-4 years of Deep Learning experience.

Role Description:

• Research in advance areas of Computer vision for COBOTS Autonomous Robots for Manufacturing Plant. The role involves designing perception systems, developing vision-based algorithms for navigation, object detection, obstacle avoidance and collaborate with robotics engineers to deploy models for real world applications

Essential Skills:

• Research in advance areas of Computer vision for COBOTS Autonomous Robots for Manufacturing Plant. The role involves designing perception systems, developing vision-based algorithms for navigation, object detection, obstacle avoidance and collaborate with robotics engineers to deploy models for real world applications

Skills required (MUST HAVE):

• Deep Learning
• Artificial Intelligence (AI)
• Robotic Process Automation - Automation Anywhere
• Python for Data Science

• Lead research and development initiatives in advanced AI/ML and deep learning.
• Design, implement, and validate novel AI algorithms and models.
• Apply ML techniques to solve complex problems in areas such as NLP, computer vision, or recommender systems.
• Work with large-scale datasets, perform feature engineering, and optimize model performance.
• Collaborate with software engineers to integrate AI models into production systems.
• Mentor and guide junior AI scientists and engineers.
• Stay abreast of the latest research trends and advancements in the AI field.
• Publish research findings in top-tier conferences and journals.
• Present research results and project outcomes to technical and non-technical audiences.
• Contribute to the strategic direction of AI/ML research within the company.
• Develop and maintain robust ML pipelines and MLOps practices.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Minimum of 8 years of hands-on experience in AI/ML research and development.
• Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
• Strong programming skills in Python, with experience in relevant libraries (e.g., NumPy, SciPy, Pandas).
• Deep understanding of core ML algorithms, statistical modeling, and optimization techniques.
• Experience with large-scale data processing and distributed computing (e.g., Spark).
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong publication record in leading AI conferences or journals.
• Ability to communicate complex technical concepts effectively.
• Experience in cloud platforms (AWS, Azure, GCP) for ML workloads is a plus.

• 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

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

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users. From utility inspectors to first responders, soldiers in battlefield scenarios and beyond.

About the role:

Learning a semantic and geometric understanding of the world from visual data is the core of our autonomy system. We are pushing the boundaries of what is possible with real-time deep networks to accelerate progress in intelligent aerial robots that can autonomously navigate in unknown environments and deliver operational value to users. If you are excited about real world applications of deep learning and solving difficult problems in computer vision and autonomy, we would love to hear from you.

As a Deep Learning Engineer, you will be responsible for training and deploying optimized models to our products for solving challenging problems such as optical flow estimation, stereo depth estimation, object detection, segmentation and tracking, visual place recognition, localization and mapping, few-shot learning, occupancy networks, automated path planning etc.

How you'll make an impact:

• Design, implement, and deploy computer vision and multimodal deep learning models for Skydio's autonomy system
• Leverage massive amounts of real world video and other sensor data for data mining, curation, labeling, training and evaluation
• Leverage large scale and diverse synthetic data to power deep learning algorithms
• Leverage state-of-the-art foundation models for knowledge distillation and label efficient learning
• Refine and optimize models for low-latency on embedded hardware
• Develop evaluation benchmarks and metrics to quantify the performance of autonomous systems
• Be a generalist helping out on all aspects of the software when needed

• M.S. or Ph.D. in computer science, electrical engineering or related discipline
• Demonstrated hands-on experience designing, training and deploying deep learning models
• Ability to deliver high quality, well-architected code (Python/PyTorch and preferably, C++)
• Leverage state-of-the-art academic papers and literature for fast iteration
• Ability to thrive in a fast paced, collaborative and highly technical team environment
• Comfortable navigating and delivering within a complex codebase
• Strong communication skills

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.