26,102 AI Professionals jobs in the United States
Applied AI Intern, Deep Learning
94087 Sunnyvale, California
Bosch USA
Posted 1 day ago
Job Viewed
Job Description
Company Description
The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is part of the global Bosch Group ( ), a company with over 70 billion euro revenue, 400,000 people worldwide, a very diverse product portfolio, and a history of over 125 years. The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of Human Machine Interaction (HMI), Robotics, Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design.*
Job Description
The ideal candidate will passionately drive and further advance innovations in the field of artificial intelligence, such as deep learning, generative modeling, neural programming, and their applications to emerging areas such as contrastive learning, multimodal learning, high-dimensional perception, foundation models, etc. The work includes conducting advanced research and development of novel algorithms and conducting experiments to bring innovation ideas to products. Responsibilities include but not limited to:
-
Define and conduct cutting-edge research and engineering projects in AI, deep learning and generative modeling in areas such as contrastive learning, multimodal learning, high-dimensional perception, foundation models.
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Work with an international team of experts to transfer the results of advanced research to Bosch business units. Benchmark, validate and test research ideas on large scale datasets.
-
Summarize research findings in high-quality paper and/or patent submissions.
Qualifications
Required:
-
Currently pursuing PhD degree in Computer Science / Systems Engineering or a related technical field.
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Hands-on experience in deep learning and/or AI system topics with focus on at least two of the following areas: machine learning theory, contrastive learning, generative AI, multimodal learning, and foundation models.
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Programming experience in Python, and hands-on experience with common machine learning libraries such as Tensorflow, PyTorch, etc.
Desired:
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Publication record in top venues in robotics/machine learning/computer vision, e.g., ICRA, IROS, RSS, NeurIPS, ICML, ICLR, CVPR, ICCV, and ECCV.
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Strong communication skills and ability to convey research ideas to a broad audience.
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Strong leadership skills with excellent English communication & teamwork skills.
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Experience working with big data and associated distributed processing tools (e.g., Spark) as well as cloud services (e.g., AWS, Azure)
Additional Information
-
On-site Internship
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Duration : 13 weeks
The U.S. base salary range for this intern position is $35.00-$68.00 hourly . Within the range, individual pay is determined based on several factors, including, but not limited to, type of degree, work experience and job knowledge, complexity of the role, type of position, job location, etc. Your Hiring Manager can share more details about the specific salary range for this position during the interview process.
By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.
BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics)
-
FIRST Robotics (For Inspiration and Recognition of Science and Technology)
-
AWIM (A World In Motion)
View Now
0
Applied AI Intern, Deep Learning
94086 Sunnyvale, California
Bosch
Posted 13 days ago
Job Viewed
Job Description
**Company Description**
_The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is part of the global Bosch Group (_ _), a company with over 70 billion euro revenue, 400,000 people worldwide, a very diverse product portfolio, and a history of over 125 years. The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of Human Machine Interaction (HMI), Robotics, Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design.*_
**Job Description**
The ideal candidate will passionately drive and further advance innovations in the field of artificial intelligence, such as deep learning, generative modeling, neural programming, and their applications to emerging areas such as contrastive learning, multimodal learning, high-dimensional perception, foundation models, etc. The work includes conducting advanced research and development of novel algorithms and conducting experiments to bring innovation ideas to products. Responsibilities include but not limited to:
+ Define and conduct cutting-edge research and engineering projects in AI, deep learning and generative modeling in areas such as contrastive learning, multimodal learning, high-dimensional perception, foundation models.
+ Work with an international team of experts to transfer the results of advanced research to Bosch business units. Benchmark, validate and test research ideas on large scale datasets.
+ Summarize research findings in high-quality paper and/or patent submissions.
**Qualifications**
Required:
+ Currently pursuing PhD degree in Computer Science / Systems Engineering or a related technical field.
+ Hands-on experience in deep learning and/or AI system topics with focus on at least two of the following areas: machine learning theory, contrastive learning, generative AI, multimodal learning, and foundation models.
+ Programming experience in Python, and hands-on experience with common machine learning libraries such as Tensorflow, PyTorch, etc.
Desired:
+ Publication record in top venues in robotics/machine learning/computer vision, e.g., ICRA, IROS, RSS, NeurIPS, ICML, ICLR, CVPR, ICCV, and ECCV.
+ Strong communication skills and ability to convey research ideas to a broad audience.
+ Strong leadership skills with excellent English communication & teamwork skills.
+ Experience working with big data and associated distributed processing tools (e.g., Spark) as well as cloud services (e.g., AWS, Azure)
**Additional Information**
+ **On-site** Internship
+ **Duration** : 13 weeks
The U.S. base salary range for this intern position is **$35.00-$68.00 hourly** . Within the range, individual pay is determined based on several factors, including, but not limited to, type of degree, work experience and job knowledge, complexity of the role, type of position, job location, etc. Your Hiring Manager can share more details about the specific salary range for this position during the interview process.
By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.
BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics)
+ FIRST Robotics (For Inspiration and Recognition of Science and Technology)
+ AWIM (A World In Motion)
_The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is part of the global Bosch Group (_ _), a company with over 70 billion euro revenue, 400,000 people worldwide, a very diverse product portfolio, and a history of over 125 years. The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of Human Machine Interaction (HMI), Robotics, Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design.*_
**Job Description**
The ideal candidate will passionately drive and further advance innovations in the field of artificial intelligence, such as deep learning, generative modeling, neural programming, and their applications to emerging areas such as contrastive learning, multimodal learning, high-dimensional perception, foundation models, etc. The work includes conducting advanced research and development of novel algorithms and conducting experiments to bring innovation ideas to products. Responsibilities include but not limited to:
+ Define and conduct cutting-edge research and engineering projects in AI, deep learning and generative modeling in areas such as contrastive learning, multimodal learning, high-dimensional perception, foundation models.
+ Work with an international team of experts to transfer the results of advanced research to Bosch business units. Benchmark, validate and test research ideas on large scale datasets.
+ Summarize research findings in high-quality paper and/or patent submissions.
**Qualifications**
Required:
+ Currently pursuing PhD degree in Computer Science / Systems Engineering or a related technical field.
+ Hands-on experience in deep learning and/or AI system topics with focus on at least two of the following areas: machine learning theory, contrastive learning, generative AI, multimodal learning, and foundation models.
+ Programming experience in Python, and hands-on experience with common machine learning libraries such as Tensorflow, PyTorch, etc.
Desired:
+ Publication record in top venues in robotics/machine learning/computer vision, e.g., ICRA, IROS, RSS, NeurIPS, ICML, ICLR, CVPR, ICCV, and ECCV.
+ Strong communication skills and ability to convey research ideas to a broad audience.
+ Strong leadership skills with excellent English communication & teamwork skills.
+ Experience working with big data and associated distributed processing tools (e.g., Spark) as well as cloud services (e.g., AWS, Azure)
**Additional Information**
+ **On-site** Internship
+ **Duration** : 13 weeks
The U.S. base salary range for this intern position is **$35.00-$68.00 hourly** . Within the range, individual pay is determined based on several factors, including, but not limited to, type of degree, work experience and job knowledge, complexity of the role, type of position, job location, etc. Your Hiring Manager can share more details about the specific salary range for this position during the interview process.
By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.
BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics)
+ FIRST Robotics (For Inspiration and Recognition of Science and Technology)
+ AWIM (A World In Motion)
View Now
1
Principal AI Researcher - Deep Learning
02116 Boston, Massachusetts
$180000 Annually
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client, a world-renowned research institution and innovation hub specializing in AI & Emerging Technologies, is seeking a highly influential Principal AI Researcher with deep expertise in Deep Learning to join their esteemed team in Boston, Massachusetts, US . This is a leadership position for an individual passionate about pushing the boundaries of artificial intelligence, driving novel research, and translating breakthroughs into practical applications. You will lead ambitious research projects, mentor a team of talented scientists, and collaborate with industry partners to shape the future of AI.
Responsibilities:
Qualifications:
This hybrid role offers a unique blend of focused research and collaborative engagement within our client's state-of-the-art facilities in Boston, Massachusetts, US . Our client offers a competitive compensation package, generous benefits, and unparalleled opportunities for intellectual growth and professional impact.
Responsibilities:
- Lead and conduct cutting-edge research in deep learning, neural networks, and related AI fields.
- Develop novel algorithms and models to address complex scientific and technological challenges.
- Publish research findings in top-tier academic conferences and journals.
- Collaborate with cross-functional teams to integrate research outcomes into product development.
- Mentor and guide junior researchers and engineers, fostering a culture of innovation and academic rigor.
- Identify new research directions and opportunities for technological advancement.
- Represent the institution at conferences and workshops, contributing to the broader AI community.
- Develop and maintain strong relationships with academic and industry partners.
- Oversee the management of research projects, including resource allocation and timelines.
- Ensure the ethical development and application of AI technologies.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 10 years of post-doctoral research experience in deep learning and neural networks.
- A strong publication record in leading AI conferences (e.g., NeurIPS, ICML, ICLR) and journals.
- Proven expertise in developing and implementing deep learning models using frameworks like TensorFlow, PyTorch, or Keras.
- Demonstrated experience in leading research teams and managing complex research projects.
- Exceptional analytical, problem-solving, and critical thinking skills.
- Outstanding communication, presentation, and interpersonal skills.
- Ability to articulate complex technical concepts to both technical and non-technical audiences.
- Experience with large-scale data processing and high-performance computing environments is advantageous.
- Passion for exploring and advancing emerging AI technologies.
This hybrid role offers a unique blend of focused research and collaborative engagement within our client's state-of-the-art facilities in Boston, Massachusetts, US . Our client offers a competitive compensation package, generous benefits, and unparalleled opportunities for intellectual growth and professional impact.
Apply Now
2
AI Solutions Architect - Deep Learning
84101 Salt Lake City, Utah
$120000 Annually
WhatJobs
Posted 9 days ago
Job Viewed
Job Description
Our client is at the forefront of AI and Emerging Technologies, and they are looking for an exceptional AI Solutions Architect specializing in Deep Learning to join their pioneering team. This is a critical fully remote position, offering you the opportunity to design and implement cutting-edge AI solutions that will redefine industries. You will work with a world-class team of researchers and engineers, tackling complex challenges and driving innovation. Your expertise in deep learning frameworks, model development, and deployment will be crucial in shaping the future of AI applications.
Key responsibilities include:
We are seeking candidates with a strong academic background in Computer Science, AI, Machine Learning, or a related quantitative field, ideally with a Master's or Ph.D. Demonstrable experience in leading AI projects and a deep understanding of various deep learning architectures (e.g., CNNs, RNNs, Transformers) and frameworks (e.g., TensorFlow, PyTorch) are essential. Excellent problem-solving skills, strong communication abilities, and a passion for innovation are required. As this is a fully remote role, you must be self-motivated, organized, and capable of thriving in an independent work environment. The **job location** is based out of **Salt Lake City, Utah, US**, but the role is fully remote .
Key responsibilities include:
- Designing, developing, and deploying scalable deep learning models for various applications, such as natural language processing, computer vision, and predictive analytics.
- Collaborating with cross-functional teams, including data scientists, software engineers, and product managers, to define AI strategies and roadmaps.
- Evaluating and selecting appropriate AI algorithms, frameworks, and tools for specific project requirements.
- Optimizing deep learning models for performance, efficiency, and accuracy in production environments.
- Developing proof-of-concepts and prototypes to demonstrate the feasibility of AI solutions.
- Providing technical leadership and mentorship to junior team members.
- Staying current with the latest advancements in AI research, machine learning, and deep learning.
- Documenting AI architectures, methodologies, and best practices.
- Translating complex business problems into viable AI solutions.
- Ensuring ethical considerations and responsible AI development practices are integrated into all projects.
We are seeking candidates with a strong academic background in Computer Science, AI, Machine Learning, or a related quantitative field, ideally with a Master's or Ph.D. Demonstrable experience in leading AI projects and a deep understanding of various deep learning architectures (e.g., CNNs, RNNs, Transformers) and frameworks (e.g., TensorFlow, PyTorch) are essential. Excellent problem-solving skills, strong communication abilities, and a passion for innovation are required. As this is a fully remote role, you must be self-motivated, organized, and capable of thriving in an independent work environment. The **job location** is based out of **Salt Lake City, Utah, US**, but the role is fully remote .
Apply Now
3
Lead AI Researcher - Deep Learning
48201 Detroit, Michigan
$160000 Annually
WhatJobs
Posted 14 days ago
Job Viewed
Job Description
Our client is looking for an innovative and driven Lead AI Researcher with a specialization in Deep Learning to spearhead our advanced research initiatives. This is a fully remote position, offering the flexibility to work from anywhere within the US. You will be instrumental in conceptualizing, developing, and deploying state-of-the-art deep learning models for complex problems across various scientific domains. Your responsibilities will encompass conducting original research, publishing findings in top-tier conferences and journals, and mentoring junior researchers. You will lead projects from ideation through to prototype development, focusing on areas such as natural language processing, computer vision, and predictive modeling. This role requires a deep theoretical understanding of machine learning principles and practical experience with large-scale data analysis and model optimization. Collaboration with engineering teams to integrate research prototypes into production systems will also be a key aspect of your work. As a fully remote team member, you will leverage virtual collaboration tools extensively, participating in regular online meetings, code reviews, and brainstorming sessions. The ideal candidate has a proven track record of impactful research contributions and a passion for pushing the boundaries of artificial intelligence. This position is aligned with our research hubs, including Detroit, Michigan, US , though it is a remote-first opportunity. A Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field, with at least 7 years of relevant research experience, is mandatory. Expertise in Python, TensorFlow, PyTorch, and associated deep learning libraries is essential. Experience with distributed training, reinforcement learning, and generative models is a significant plus. Excellent communication and leadership skills are required to guide research direction and foster a collaborative environment.
Apply Now
4
AI Research Scientist - Deep Learning
83702 Hidden Springs, Idaho
$140000 Annually
WhatJobs
Posted 15 days ago
Job Viewed
Job Description
Our client is looking for a brilliant and innovative AI Research Scientist specializing in Deep Learning to join their pioneering team. This is a fully remote position, offering the flexibility to work from anywhere. You will be at the forefront of developing next-generation artificial intelligence models and algorithms, contributing to groundbreaking research and product development in AI & Emerging Technologies . The ideal candidate possesses a strong theoretical foundation in machine learning and deep learning, coupled with hands-on experience in implementing and deploying complex AI systems.
Responsibilities include conducting advanced research in deep learning areas such as computer vision, natural language processing, reinforcement learning, or generative models. You will design, implement, and train novel neural network architectures, optimizing them for performance and scalability. This role involves staying abreast of the latest academic research and industry trends, identifying opportunities for innovation, and contributing to the scientific community through publications and presentations. Collaboration with cross-functional teams, including software engineers and product managers, to integrate AI research into practical applications is key.
The AI Research Scientist will be responsible for developing and implementing experimental methodologies, analyzing large datasets, and evaluating the effectiveness of AI models. You will contribute to the ethical development and deployment of AI, ensuring fairness, transparency, and accountability. The ability to communicate complex technical findings clearly and concisely to both technical and non-technical audiences is essential. This role thrives on intellectual curiosity, a passion for solving challenging problems, and a commitment to pushing the boundaries of AI.
Qualifications include a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field. Proven track record of research and publications in top-tier AI conferences and journals is highly desirable. Strong programming skills in Python and proficiency with deep learning frameworks such as TensorFlow, PyTorch, or Keras are mandatory. Experience with large-scale data processing and distributed computing environments is a significant advantage. Demonstrated ability to design, implement, and evaluate complex machine learning models. Excellent analytical, problem-solving, and communication skills are essential. This is an exceptional opportunity to shape the future of AI from the comfort of your home.
Responsibilities include conducting advanced research in deep learning areas such as computer vision, natural language processing, reinforcement learning, or generative models. You will design, implement, and train novel neural network architectures, optimizing them for performance and scalability. This role involves staying abreast of the latest academic research and industry trends, identifying opportunities for innovation, and contributing to the scientific community through publications and presentations. Collaboration with cross-functional teams, including software engineers and product managers, to integrate AI research into practical applications is key.
The AI Research Scientist will be responsible for developing and implementing experimental methodologies, analyzing large datasets, and evaluating the effectiveness of AI models. You will contribute to the ethical development and deployment of AI, ensuring fairness, transparency, and accountability. The ability to communicate complex technical findings clearly and concisely to both technical and non-technical audiences is essential. This role thrives on intellectual curiosity, a passion for solving challenging problems, and a commitment to pushing the boundaries of AI.
Qualifications include a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field. Proven track record of research and publications in top-tier AI conferences and journals is highly desirable. Strong programming skills in Python and proficiency with deep learning frameworks such as TensorFlow, PyTorch, or Keras are mandatory. Experience with large-scale data processing and distributed computing environments is a significant advantage. Demonstrated ability to design, implement, and evaluate complex machine learning models. Excellent analytical, problem-solving, and communication skills are essential. This is an exceptional opportunity to shape the future of AI from the comfort of your home.
Apply Now
5
AI Research Scientist (Deep Learning)
50309 Des Moines, Iowa
$150000 Annually
WhatJobs
Posted 15 days ago
Job Viewed
Job Description
Our client is at the forefront of AI innovation and is seeking a highly motivated and experienced AI Research Scientist specializing in Deep Learning to join their cutting-edge team in **Des Moines, Iowa, US**. This role involves conducting advanced research and developing novel algorithms and models to solve complex problems in areas such as machine learning, natural language processing, computer vision, or reinforcement learning. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field, with a strong publication record in top-tier conferences and journals. You will be responsible for designing and implementing deep learning models, training and evaluating their performance, and translating research findings into practical applications. Expertise in Python and popular deep learning frameworks like TensorFlow, PyTorch, or Keras is essential. Experience with large datasets, distributed computing, and cloud platforms (AWS, Azure, GCP) is highly desirable. You will collaborate closely with a team of talented researchers and engineers, contributing to groundbreaking AI advancements. This position offers a hybrid work arrangement, fostering a balance between collaborative in-office work and focused remote productivity. Strong analytical and problem-solving skills, creativity, and the ability to work independently are crucial. You will be expected to stay abreast of the latest advancements in AI and contribute to the intellectual property of our client. This is a unique opportunity to make a significant impact in the field of artificial intelligence and contribute to the future of technology from **Des Moines**.
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6
AI Research Scientist - Deep Learning
27701 Durham, North Carolina
$160000 Annually
WhatJobs
Posted 17 days ago
Job Viewed
Job Description
Our client is a pioneering organization at the cutting edge of Artificial Intelligence and Emerging Technologies, and we are seeking a highly motivated and brilliant AI Research Scientist specializing in Deep Learning to join our fully remote team. This is a unique opportunity to contribute to groundbreaking research and development in a role that offers unparalleled flexibility and autonomy. You will be at the forefront of designing, implementing, and validating novel deep learning models and algorithms to solve complex real-world problems. Your work will directly impact the future of AI, driving advancements in areas such as natural language processing, computer vision, reinforcement learning, and generative models. You will collaborate with a world-class team of researchers and engineers through virtual channels, leveraging advanced collaboration tools to foster innovation and knowledge sharing. As a remote-first employee, you will have the freedom to structure your workday to maximize productivity and creativity, while also participating in regular virtual team meetings, brainstorming sessions, and research presentations. The ideal candidate possesses a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field, coupled with a strong publication record in top-tier AI conferences and journals. You should have extensive hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX, and a deep understanding of mathematical principles underpinning machine learning. We are looking for a candidate with exceptional analytical and problem-solving skills, a proactive approach to research, and the ability to work independently and effectively in a remote setting. If you are driven by a passion for pushing the boundaries of AI and want to make a significant impact from anywhere in the world, we invite you to apply.
Responsibilities:
Responsibilities:
- Conduct cutting-edge research in deep learning and related AI fields.
- Develop, implement, and evaluate novel AI models and algorithms.
- Publish research findings in leading academic conferences and journals.
- Collaborate with a global, remote team of researchers and engineers.
- Design and execute experiments to validate hypotheses and assess model performance.
- Contribute to the development of AI-powered products and solutions.
- Stay current with the latest advancements in AI and machine learning.
- Mentor junior researchers and contribute to a collaborative research environment.
- Effectively communicate research progress and results through written reports and presentations.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field.
- Proven track record of research excellence, demonstrated by publications in top-tier AI venues.
- Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras, JAX).
- Strong programming skills in Python and experience with scientific computing libraries.
- Deep understanding of machine learning theory, statistics, and algorithms.
- Experience in one or more areas: NLP, Computer Vision, Reinforcement Learning, Generative Models.
- Excellent analytical, critical thinking, and problem-solving abilities.
- Demonstrated ability to work independently and collaboratively in a remote setting.
- Strong communication and presentation skills.
Apply Now
7
AI Solutions Architect, Deep Learning
73101 Oklahoma City, Oklahoma
$190000 Annually
WhatJobs
Posted 18 days ago
Job Viewed
Job Description
Our client is a leading innovator in AI technologies, seeking a highly skilled AI Solutions Architect with a specialization in Deep Learning to join our dynamic team. This role is instrumental in designing and implementing sophisticated AI solutions that leverage cutting-edge deep learning models to address complex business challenges for our diverse clientele. The ideal candidate will possess a strong blend of technical expertise in AI/ML, deep learning frameworks, cloud architecture, and consultative client engagement skills.
As an AI Solutions Architect, you will work closely with clients to understand their strategic objectives and technical requirements, translating them into scalable and effective AI solutions. You will be responsible for architecting end-to-end deep learning systems, including data ingestion and preparation, model selection and training, deployment strategies, and integration with existing systems. Experience with major cloud platforms (AWS, Azure, GCP) and their AI/ML services is crucial. This is a fully remote position, offering the flexibility to collaborate with a global team and clients from anywhere. You will serve as a trusted advisor, guiding clients through the complexities of AI adoption and ensuring the successful implementation of transformative deep learning initiatives.
Responsibilities:
Qualifications:
As an AI Solutions Architect, you will work closely with clients to understand their strategic objectives and technical requirements, translating them into scalable and effective AI solutions. You will be responsible for architecting end-to-end deep learning systems, including data ingestion and preparation, model selection and training, deployment strategies, and integration with existing systems. Experience with major cloud platforms (AWS, Azure, GCP) and their AI/ML services is crucial. This is a fully remote position, offering the flexibility to collaborate with a global team and clients from anywhere. You will serve as a trusted advisor, guiding clients through the complexities of AI adoption and ensuring the successful implementation of transformative deep learning initiatives.
Responsibilities:
- Design and architect robust, scalable, and secure AI solutions leveraging deep learning technologies.
- Collaborate with clients to define business problems and translate them into AI/ML use cases.
- Select appropriate deep learning models and frameworks (e.g., TensorFlow, PyTorch) for specific applications.
- Design and oversee the implementation of data pipelines and ML infrastructure on cloud platforms (AWS, Azure, GCP).
- Develop deployment strategies for deep learning models, ensuring efficient and reliable integration.
- Provide technical leadership and guidance to development teams throughout the project lifecycle.
- Conduct technical workshops and presentations for clients and internal stakeholders.
- Evaluate and recommend new AI technologies and tools to enhance our service offerings.
- Ensure solutions meet performance, scalability, and cost-efficiency requirements.
- Stay abreast of the latest advancements in deep learning, AI, and cloud computing.
Qualifications:
- Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 7 years of experience in AI/ML, with at least 3 years focused on architecting and implementing deep learning solutions.
- Extensive experience with deep learning frameworks (TensorFlow, PyTorch, Keras).
- Proven expertise in cloud platforms (AWS, Azure, GCP) and their AI/ML services (e.g., SageMaker, Azure ML, Vertex AI).
- Strong understanding of data engineering, MLOps principles, and software development best practices.
- Excellent client-facing and communication skills, with the ability to explain complex technical concepts clearly.
- Experience with various AI model types, including CNNs, RNNs, Transformers, and generative models.
- Proficiency in programming languages such as Python.
- Demonstrated ability to lead technical discussions and influence decision-making.
- Experience with large-scale data processing and distributed computing is a plus.
Apply Now
8
AI/ML Engineer - Deep Learning
53703 Madison, Wisconsin
$120000 Annually
WhatJobs
Posted 25 days ago
Job Viewed
Job Description
Our client, a cutting-edge research and development firm specializing in AI and Emerging Technologies, is seeking a highly skilled AI/ML Engineer with a focus on Deep Learning. This role is integral to developing and deploying advanced artificial intelligence models that solve complex real-world problems. You will be at the forefront of innovation, working with large datasets, designing neural network architectures, and implementing state-of-the-art machine learning algorithms. The ideal candidate will have a strong foundation in computer science, mathematics, statistics, and extensive practical experience in deep learning frameworks. Responsibilities include designing, training, and evaluating deep learning models for various applications, such as natural language processing, computer vision, or predictive analytics. You will also be involved in deploying these models into production environments, optimizing their performance, and monitoring their effectiveness. Collaboration with data scientists, software engineers, and domain experts will be crucial. This is an exciting opportunity to contribute to groundbreaking projects in **Madison, Wisconsin, US**, shaping the future of AI. You will have access to advanced computing resources and a collaborative environment that fosters innovation and continuous learning. The role demands a strong research mindset, excellent programming skills, and the ability to translate theoretical concepts into practical, scalable solutions. You will be expected to stay abreast of the latest advancements in AI research and apply them to practical challenges. Responsibilities:
- Design, develop, and implement deep learning models.
- Conduct research and experiments on large datasets.
- Utilize frameworks like TensorFlow, PyTorch, or Keras for model development.
- Train, evaluate, and fine-tune neural networks for optimal performance.
- Deploy machine learning models into production environments.
- Optimize models for scalability, efficiency, and accuracy.
- Collaborate with data scientists and software engineers on AI projects.
- Stay up-to-date with the latest advancements in AI and machine learning.
- Develop and implement strategies for data preprocessing and feature engineering.
- Contribute to technical documentation and present findings to stakeholders.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 3-5 years of experience in AI/ML engineering, with a focus on deep learning.
- Proficiency in Python and experience with relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
- Hands-on experience with deep learning frameworks (TensorFlow, PyTorch).
- Strong understanding of various neural network architectures (CNNs, RNNs, Transformers).
- Experience with data preprocessing, feature engineering, and model evaluation.
- Familiarity with cloud platforms (AWS, GCP, Azure) for ML deployment is a plus.
- Strong analytical and problem-solving skills.
- Excellent programming and software development skills.
- Strong communication and teamwork abilities.
Apply Now
9