10,206 Deep Learning Engineer jobs in the United States

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

About Us

At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.

From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.

Job Summary:

As the Staff Deep Learning Engineer, you will play a critical role in the development and refinement of a cutting-edge perception system, leveraging deep learning for real-world applications. Your expertise in computer vision, deep learning, and team leadership will drive performance improvements and seamless integration across the company. You will define and lead projects, and find new areas to make an impact and improvements at Hayden AI.

Responsibilities:

• 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.

Required Qualifications:

• 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

Our client, a leader in AI-driven solutions, is seeking a highly skilled Senior Deep Learning Engineer with expertise in Computer Vision to join their fully remote team. This role involves architecting, developing, and deploying state-of-the-art deep learning models for image and video analysis. You will tackle complex challenges in areas such as object detection, image segmentation, facial recognition, and generative modeling. Responsibilities include researching cutting-edge CV techniques, implementing and optimizing deep neural networks, building robust training and inference pipelines, and collaborating with software engineers to integrate models into production systems. The ideal candidate possesses a strong theoretical foundation in machine learning and computer vision, coupled with extensive practical experience. Proficiency in Python and deep learning frameworks like TensorFlow, PyTorch, or JAX is essential. Experience with cloud platforms (AWS, GCP, Azure) and large-scale dataset management is highly desirable. You should have a proven track record of delivering impactful CV solutions, ideally demonstrated through publications, open-source contributions, or successful product deployments. A Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field, along with a minimum of 6 years of relevant industry experience, is required. Excellent problem-solving skills, a passion for innovation, and the ability to work independently in a remote environment are crucial. This is an outstanding opportunity to contribute to groundbreaking AI advancements and shape the future of computer vision technology from your home office. Our client offers a challenging yet rewarding work environment, competitive compensation, and comprehensive benefits. Join a team that is pushing the boundaries of what's possible with AI. This role is suitable for individuals located anywhere in the US, contributing remotely to projects based in the **New York City, New York, US** region, though the work is performed remotely.

Responsibilities:

• Design, train, and deploy deep learning models for computer vision tasks.
• Develop and optimize algorithms for image classification, object detection, segmentation, etc.
• Build and maintain efficient data pipelines for large-scale image and video datasets.
• Collaborate with cross-functional teams to integrate CV models into products and services.
• Research and implement state-of-the-art computer vision and deep learning techniques.
• Evaluate model performance and identify areas for improvement.
• Write production-quality code and contribute to code reviews.
• Stay current with advancements in the field of AI and computer vision.
• Mentor junior engineers and contribute to team knowledge sharing.

Qualifications:

• Master's or Ph.D. in Computer Science, Engineering, or a related field.
• 6+ years of professional experience in deep learning and computer vision.
• Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch, JAX).
• Strong programming skills in Python.
• Proven experience with CV tasks such as object detection, image segmentation, and recognition.
• Familiarity with cloud computing platforms (AWS, GCP, Azure).
• Excellent problem-solving and analytical skills.
• Ability to work effectively in a remote, collaborative team environment.
• Strong communication and presentation skills.
• Experience with large-scale data processing is a plus.

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.

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

What We Value:

Integrity, Humility, Happiness

What We Expect:

Initiative, Collaboration, Completion

Role:

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

Responsibilities:

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

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

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

Requirements

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

• Strong background in numerical and/or algorithmic optimization

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

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

• Strong background in graphs and related algorithms

Nice to haves:

• Proficiency in C++ >= 11

• Experience using / developing in TVM

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

Expected Outcomes in 12 months:

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

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

Benefits

• Provide competitive salaries and meaningful equity

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

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

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

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

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

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.

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

What We Value:

Integrity, Humility, Happiness

What We Expect:

Initiative, Collaboration, Completion

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.

VW. Two letters. Endless opportunities. A bright future.

Innovation. Sophistication. Optimization. This is our Passion.

Worldwide, the Volkswagen Group has a long tradition of dramatic innovations. The Volkswagen Group with its headquarters in Wolfsburg is one of the world's leading automobile manufacturers and the largest carmaker in Europe. The Group comprises twelve brands from seven European countries: Volkswagen Passenger Cars, Audi, SEAT, ŠKODA, Bentley, Bugatti, Lamborghini, Porsche, Ducati, Volkswagen Commercial Vehicles, Scania and MAN. Here in the US, we are blending German engineering with American ingenuity.

At the Innovation & Engineering Center California (IECC), we represent the Volkswagen Group in applied research and development. Located in the heart of Silicon Valley, we create bold new ideas for the Volkswagen, Audi, Bentley, Lamborghini, Bugatti and Porsche brands. We're a team of engineers, designers, scientists, and psychologists looking to develop innovations for future generations of cars, and to transfer technologies from many industries and research institutions into the automotive domain. Our mission is to drive change which means we are not only impacting one of the world's largest car makers, but also the lives of millions of people. Are you ready to join us?

Senior AI Engineer (Hybrid role requires 3 days/week onsite)

We are unable to consider OPT/CPT candidates at this time.

Role Summary

This role will be tasked with applying machine learning/deep learning to the automotive industry. Applications could include autonomous driving, manufacturing, design etc. This is more than a purely academic role - you will likely need to integrate the modules you build into real cars and also think about questions around testability and proving safety. Working in our facility requires a high level of independence and an ability to deal with lots of ambiguity. The incumbent will not be given clear cut projects - instead this individual and subsequent team will be responsible for coming up with the "next big thing" that nobody has thought of as yet, building it and selling it.

To be considered, Candidates MUST have extensive experience in the following: Computer Vision, Deep Learning, forecasting, transformers, CNNs. You must also possess strong experience building data models.

Role Responsibilities

Machine Learning Development

• Maintains, as well as furthers, enhances existing machine learning modules for autonomous vehicles.

• Designs and implements new machine learning based approaches based on existing frameworks.

• Keeps up to speed with the state of the art of academic research and technology in the industry.

• Coordinates with engineers at the ICC and in Germany on the development of autonomous driving software.

• Transfers technologies and solutions to Volkswagen Group development divisions.

Process Documentation and Representation

• Develops technical specifications and documentation.

• Represents Volkswagen Group in the technical community, such as at conferences.

Qualifications

• 6 - 8 years of professional experience post graduate degree PREFERRED

• 4+ years' Deep Learning experience post graduate degree PREFERRED

Education Requirements:

• Master's Degree in Computer Science or equivalent.

Education Desired

• PhD Strongly Preferred.

Skills

• Strong knowledge of different machine learning algorithms.

Required Skills:

Deep Learning :

Proficiency in deep learning techniques and frameworks

Machine Learning :

Strong understanding of traditional machine learning algorithms and their applications.

Computer Vision :

Expertise in computer vision, including object detection, image segmentation, and image recognition

Natural Language Processing (NLP) :

Proficiency in NLP techniques, including sentiment analysis, text generation, and language understanding models. Experience with multimodal language modeling and applications.

Neural Network Architectures:

Deep understanding of various neural network architectures such as CNNs, RNNs, and Transformers .

Reinforcement Learning:

Familiarity with reinforcement learning algorithms and their applications in AI.

Data Preprocessing:

Skills in data cleaning, feature engineering, and data augmentation.

Model Training and Tuning:

Experience in training, fine-tuning, and optimizing AI models.

Model Deployment:

Knowledge of model deployment techniques, including containerization (Docker) and orchestration (Kubernetes).

Documentation:

Strong documentation skills for model architecture, code, and processes.

Desired Skills:

AI Ethics:

Awareness of ethical considerations in AI, including bias mitigation and fairness.

Legal and Regulatory Knowledge:

Understanding of AI-related legal and regulatory considerations, including data privacy and intellectual

property.

Data Management:

Proficiency in data storage and management systems, including databases and data lakes.

Cloud Computing:

Familiarity with cloud platforms like AWS, Azure, or GCP, and their AI services.

Work Flexibility

• Travel is estimated to be 5-10%, as needed within U.S. and overseas.

In the Silicon Valley, the salary range for this role will be $170,000 - $210,000, depending on education and years of relevant experience. Salary is determined by geographical location and adjusted accordingly. Other benefits for this position include:

• Eligibility for annual performance bonus

• Healthcare benefits

• 401(k), with company match

• Defined contribution retirement program.

• Tuition reimbursement

• Company lease car program

• Paid time off

Volkswagen's roots in Silicon Valley sprout the tech-driven future of transportation

Volkswagen Group of America is an Equal Opportunity Employer. We welcome and encourage applicants from all backgrounds, and do not discriminate based on race, sex, age, disability, sexual orientation, national origin, religion, color, gender identity/expression, marital status, veteran status, or any other characteristics protected by applicable laws.

#LI-CK1

#LI-Hybrid

Our client is seeking an innovative Senior Machine Learning Engineer to join their cutting-edge AI and Emerging Technologies division in Nashville, Tennessee, US . This role will focus on designing, building, and deploying scalable machine learning models and platforms that drive significant business value. You will work with state-of-the-art deep learning frameworks and large datasets to solve complex problems across various domains. Key responsibilities include developing and optimizing ML algorithms, implementing robust MLOps pipelines for model deployment and monitoring, and collaborating with data scientists and software engineers to integrate ML solutions into production systems. You will be expected to conduct research into new ML techniques, experiment with different approaches, and contribute to the overall advancement of the company's AI capabilities. The ideal candidate will possess a Master's or PhD in Computer Science, Artificial Intelligence, or a related quantitative field, with a strong emphasis on machine learning and deep learning. Significant professional experience developing and deploying ML models in a production environment is required, along with expertise in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is highly desirable. Strong problem-solving skills, a passion for innovation, and the ability to communicate complex technical concepts clearly are essential. Join our forward-thinking team in Nashville, Tennessee, US and be at the forefront of AI innovation.

Our client, a pioneering artificial intelligence firm, is seeking an exceptional Lead Machine Learning Engineer specializing in Deep Reinforcement Learning (DRL) to join their innovative team in **Fort Worth, Texas, US**. This hybrid role offers a stimulating environment where you will drive the development and implementation of advanced DRL algorithms for complex real-world applications. You will lead a team of talented ML engineers and researchers, guiding them through the entire lifecycle of DRL model development, from ideation and prototyping to deployment and optimization. Responsibilities include designing novel DRL architectures, developing robust training pipelines, conducting rigorous experimentation, and ensuring the scalability and efficiency of deployed solutions. The ideal candidate possesses a profound understanding of DRL theory and its practical applications, with hands-on experience in areas such as policy gradient methods, value-based methods, and multi-agent systems. Expertise in optimizing DRL algorithms for performance, stability, and generalization is critical. You will collaborate closely with domain experts to define problems, collect data, and validate solutions. A Master's degree or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field, coupled with at least 6 years of professional experience in machine learning engineering, with a significant focus on DRL, is required. Exceptional programming skills in Python and proficiency with deep learning frameworks like TensorFlow or PyTorch are essential. Strong leadership, communication, and problem-solving abilities are crucial for guiding the team and interfacing with stakeholders. This is a unique opportunity to work on challenging, impactful projects at the forefront of AI research and development, contributing to breakthrough innovations that will shape industries. Join us and be a key player in advancing the capabilities of intelligent systems.

Responsibilities:

• Lead the design, development, and implementation of Deep Reinforcement Learning (DRL) algorithms.
• Manage and mentor a team of Machine Learning Engineers and Researchers.
• Architect and build robust DRL training environments and pipelines.
• Conduct experiments to evaluate and optimize DRL model performance, stability, and scalability.
• Collaborate with cross-functional teams to identify and solve complex problems using DRL.
• Research and integrate state-of-the-art DRL techniques and methodologies.
• Ensure the successful deployment and ongoing monitoring of DRL systems in production.
• Contribute to the technical vision and strategy for the AI team.
• Present findings and solutions to technical and non-technical audiences.

Qualifications:

• Master's degree or Ph.D. in Computer Science, AI, or a related quantitative field.
• 6+ years of professional experience in Machine Learning Engineering, with a deep focus on Deep Reinforcement Learning.
• Proven expertise in DRL algorithms (e.g., DQN, PPO, SAC) and their applications.
• Strong programming skills in Python and experience with deep learning frameworks (TensorFlow, PyTorch).
• Experience with large-scale data processing and distributed computing.
• Demonstrated leadership and team management experience.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and interpersonal abilities.
• Familiarity with MLOps practices is a plus.

Our client is seeking an innovative AI/ML Engineer with a specialization in Deep Learning to join their cutting-edge, fully remote team. This role is pivotal in developing and deploying advanced machine learning models that drive innovation across our product portfolio. You will work with large datasets, implement state-of-the-art deep learning architectures, and contribute to the entire ML lifecycle, from research and development to production deployment. This is a fantastic opportunity for a passionate AI professional to make a significant impact in a remote-first environment.

Responsibilities:

• Design, develop, and implement deep learning models for various applications, including computer vision, natural language processing, and predictive analytics.
• Utilize deep learning frameworks such as TensorFlow, PyTorch, and Keras to build and train complex neural networks.
• Process and analyze large-scale datasets, performing feature engineering and data augmentation.
• Optimize model performance, scalability, and efficiency for deployment in production environments.
• Collaborate with data scientists and software engineers to integrate ML models into existing systems and products.
• Conduct thorough testing and validation of ML models to ensure accuracy and reliability.
• Stay abreast of the latest research and advancements in AI and deep learning.
• Contribute to the development of MLOps practices and tools for efficient model deployment and monitoring.
• Document model architectures, training procedures, and experimental results.
• Participate in code reviews and contribute to a culture of technical excellence.

Qualifications:

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 2-4 years of hands-on experience developing and deploying deep learning models in a professional setting.
• Strong proficiency in Python and experience with deep learning libraries (TensorFlow, PyTorch).
• Solid understanding of machine learning algorithms, statistical modeling, and data mining techniques.
• Experience with MLOps principles and tools (e.g., MLflow, Kubeflow) is a plus.
• Familiarity with cloud platforms (AWS, Azure, GCP) and associated ML services.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration skills, capable of working effectively in a remote team.
• Ability to manage projects independently and deliver high-quality results.
• Experience with big data technologies (e.g., Spark, Hadoop) is beneficial.

This fully remote position, with its roots in Huntsville, Alabama, US , offers a unique chance to work on impactful AI projects and shape the future of technology. We are looking for talented individuals who are eager to innovate and excel in a distributed team.