5,536 Machine Learning Models jobs in the United States

Our client is at the forefront of AI innovation and is seeking a brilliant AI Research Scientist with a specialization in Machine Learning Models to join their cutting-edge team in Charlotte, North Carolina, US . This role offers a hybrid work arrangement, combining the benefits of collaborative team interaction with the flexibility of remote work. You will be engaged in developing and advancing state-of-the-art machine learning algorithms and models that drive our next-generation AI products and solutions.

As an AI Research Scientist, you will conduct in-depth research, design novel ML architectures, and implement and evaluate complex models. Your work will contribute to significant breakthroughs in areas such as natural language processing, computer vision, and predictive analytics. This position is ideal for a highly analytical and creative individual passionate about pushing the boundaries of artificial intelligence and translating theoretical concepts into practical applications.

Key Responsibilities:

• Conduct original research in machine learning and deep learning to develop novel algorithms and models.
• Design, implement, and evaluate advanced ML models for tasks such as classification, regression, clustering, and pattern recognition.
• Explore and experiment with various deep learning architectures, including neural networks, recurrent neural networks (RNNs), convolutional neural networks (CNNs), and transformers.
• Process and analyze large datasets to extract meaningful insights and prepare data for model training.
• Develop and maintain robust, scalable, and efficient ML pipelines.
• Collaborate with engineering teams to integrate research models into production systems.
• Stay abreast of the latest advancements and research trends in AI, ML, and related fields.
• Publish research findings in top-tier conferences and journals, and present work internally and externally.
• Mentor junior researchers and contribute to the team's knowledge sharing and technical growth.
• Design and execute experiments to validate model performance and identify areas for improvement.

Qualifications:

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Minimum of 5 years of hands-on research experience in machine learning and deep learning.
• Strong theoretical understanding and practical experience with a wide range of ML algorithms and techniques.
• Proficiency in programming languages such as Python and experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with data manipulation and analysis tools.
• Demonstrated experience in developing and deploying ML models in real-world applications.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong publication record in reputable AI/ML venues is a significant plus.
• Excellent communication and presentation skills, with the ability to articulate complex technical concepts clearly.
• Ability to work effectively both independently and as part of a collaborative team in a hybrid environment.

This is a unique opportunity to shape the future of AI and work on challenging, impactful projects. If you are a visionary researcher ready to make significant contributions, we encourage you to apply.

Our client is at the forefront of innovation and is looking for a brilliant AI Research Scientist specializing in Machine Learning Models to join their cutting-edge team in **Tampa, Florida, US**. This role is crucial for driving advancements in artificial intelligence, focusing on the research, development, and implementation of novel ML algorithms and deep learning architectures. You will contribute to developing state-of-the-art AI solutions that solve complex real-world problems across various industries. Your responsibilities will include: conducting theoretical and empirical research in areas such as natural language processing, computer vision, reinforcement learning, and predictive modeling; designing, implementing, and evaluating new machine learning algorithms and neural network architectures; collaborating with engineering teams to integrate research prototypes into production systems; staying abreast of the latest academic research and industry trends in AI and ML; publishing research findings in top-tier conferences and journals; and mentoring junior researchers and engineers. The ideal candidate possesses a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field, with a strong publication record. Proven experience in developing and deploying complex ML models using frameworks like TensorFlow, PyTorch, or Keras is essential. You should have excellent programming skills in Python and a solid understanding of data structures, algorithms, and software development best practices. We are seeking individuals with exceptional problem-solving abilities, a creative mindset, and a passion for pushing the boundaries of AI. Strong analytical and critical thinking skills are a must. This hybrid role in **Tampa, Florida, US**, offers a unique opportunity to work on groundbreaking AI projects in a stimulating environment. If you are driven by scientific curiosity and aspire to shape the future of artificial intelligence, we encourage you to apply.

Our client is at the forefront of innovation and is seeking a Senior AI Research Scientist to join their fully remote team. This role is dedicated to pushing the boundaries of artificial intelligence by developing and implementing cutting-edge machine learning models and algorithms. You will be responsible for conceptualizing, designing, and executing research projects that lead to groundbreaking advancements in AI. The ideal candidate possesses a deep theoretical understanding of AI and ML, coupled with practical experience in building and deploying complex models. This position offers the opportunity to work on challenging problems with significant real-world impact.

Responsibilities:

• Conduct fundamental and applied research in areas such as deep learning, natural language processing, computer vision, and reinforcement learning.
• Design, develop, and optimize novel machine learning algorithms and models.
• Implement and test algorithms using relevant programming languages and frameworks (e.g., Python, TensorFlow, PyTorch).
• Analyze large datasets to extract insights and inform model development.
• Collaborate with cross-functional teams of engineers and product managers to integrate AI solutions into products and services.
• Publish research findings in top-tier conferences and journals.
• Stay abreast of the latest advancements in AI and machine learning research.
• Mentor junior researchers and contribute to the growth of the AI team.
• Develop and maintain research roadmaps and project plans.
• Contribute to the intellectual property portfolio of the company.

Qualifications:

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 5 years of post-graduate research experience in AI/ML, with a strong publication record.
• Deep expertise in at least one core AI area (e.g., deep learning, NLP, computer vision).
• Proficiency in programming languages such as Python and experience with ML libraries (TensorFlow, PyTorch, scikit-learn).
• Strong mathematical and statistical background.
• Excellent problem-solving, analytical, and critical thinking skills.
• Proven ability to work independently and as part of a remote team.
• Exceptional communication and presentation skills.
• Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
• Ability to translate complex research concepts into practical applications.

This fully remote role offers unparalleled flexibility and the chance to shape the future of AI.

**Position Purpose:**
The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role leads overall programs, maximizing resources, partnering with project teams and business partners, and supports problem solving efforts. Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills.
This team works with forecasting possible outcomes of price and promotion actions at different levels, including AI solutions, and would need to be Proficient in deep learning and forecasting techniques.
As a Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to collaborate with other Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.
**Key Responsibilities:**
+ 40% People Management & Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments
+ 25% Project Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts
+ 20% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionization are leveraged
+ 15% Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to establish high level strategy and optimize talent management
**Direct Manager/Direct Reports:**
+ This position typically reports to Senior Manager or above
+ This position has Direct Reports & manages programs
**Travel Requirements:**
+ Typically requires overnight travel 5% to 20% of the time.
**Physical Requirements:**
+ Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
**Working Conditions:**
+ Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
**Minimum Qualifications:**
+ Must be eighteen years of age or older.
+ Must be legally permitted to work in the United States.
**Preferred Qualifications:**
+ Experience taking a deep learning solution from end to end
+ Previous people or project team management experience
+ 9+ years of experience in business intelligence and analytics
+ Expertise in predictive modeling, data mining and data analysis
+ Mastery running queries against data (preferably with Google BigQuery or SQL)
+ Proficient with data visualization software (preferably Tableau)
+ Mastery utilizing statistical techniques to identify key insights that help solve business problems
+ Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
+ Demonstrated proficiency in predictive modeling, data mining and data analysis
+ Experience managing and growing team members in a professional setting
**Minimum Education:**
+ The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
**Preferred Education:**
+ No additional education
**Minimum Years of Work Experience:**
+ 8
**Competencies:**
+ Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
+ Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
+ Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization
+ Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
+ Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
+ Develops Talent: Developing people to meet both their career goals and the organization's goals
+ Directs Work: Provides direction, delegating and removing obstacles to get work done
+ Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives
+ Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
+ Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity
+ Interpersonal Savvy: Relating openly and comfortably with diverse groups of people
+ Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
+ Persuades: Using compelling arguments to gain the support and commitment of others
+ Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies
_Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit_ _ _._ We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. - $130,000.00 - $225,000.00

Job Description

Job Description

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

Deep Learning Engineer Mountain View, CA (Onsite) | Contract | $70/hour Design next-generation computer vision systems for autonomous robotics in manufacturing environments.

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 .

Position Overview

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.

Key Responsibilities

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.

Requirements

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.

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

Our client, a pioneer in AI innovation, is seeking a highly motivated Senior Deep Learning Engineer to join their dynamic research and development team. This is a fully remote position, allowing you to contribute your expertise from anywhere within the United States. You will play a pivotal role in designing, implementing, and deploying advanced deep learning models for a variety of cutting-edge applications. Your responsibilities will include developing novel neural network architectures, optimizing model performance, and ensuring the scalability and robustness of AI solutions. This role demands a deep understanding of various deep learning frameworks such as TensorFlow, PyTorch, and Keras, as well as expertise in areas like computer vision, natural language processing, or reinforcement learning. You will work with large-scale datasets, preprocess data efficiently, and manage the entire ML pipeline from experimentation to production. Collaboration is key; you'll work closely with data scientists, software engineers, and product managers to translate complex research concepts into tangible, high-impact solutions. The ideal candidate will have a strong academic background, supported by a portfolio of successful projects and a keen interest in staying at the forefront of AI research. You should possess excellent programming skills in Python, a rigorous scientific approach, and the ability to articulate complex technical ideas clearly. This position offers a unique opportunity to contribute to groundbreaking AI advancements and shape the future of technology. We are looking for individuals who are passionate about pushing the boundaries of what's possible with artificial intelligence and are eager to contribute to a collaborative and intellectually stimulating remote environment.
Responsibilities:

• Design, develop, and implement deep learning models.
• Optimize the performance and efficiency of neural networks.
• Work with large datasets, including data preprocessing and feature engineering.
• Manage the end-to-end machine learning pipeline.
• Collaborate with cross-functional teams to deploy AI solutions.
• Conduct research into new deep learning techniques and architectures.
• Write clean, maintainable, and efficient code in Python.
• Stay up-to-date with the latest advancements in the field of deep learning.
• Troubleshoot and debug complex ML systems.
• Document research findings and technical designs.

Qualifications:

• Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related quantitative field.
• 5+ years of hands-on experience in deep learning engineering.
• Expertise in Python programming and major deep learning frameworks (TensorFlow, PyTorch, Keras).
• Strong understanding of various neural network architectures (CNNs, RNNs, Transformers).
• Experience with cloud computing platforms (AWS, GCP, Azure).
• Proficiency in data manipulation and analysis libraries (e.g., Pandas, NumPy).
• Familiarity with MLops practices and tools.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities.
• Demonstrated ability to work effectively in a remote setting.

Our client is at the forefront of AI innovation and is seeking a brilliant Lead AI Researcher specializing in Deep Learning to spearhead groundbreaking research initiatives. This role is for an individual with a profound passion for pushing the boundaries of artificial intelligence, developing novel algorithms, and translating theoretical concepts into practical applications. You will lead a team of talented researchers, mentor junior team members, and collaborate with cross-functional teams to integrate cutting-edge AI solutions into our product roadmap. This position offers the flexibility of a fully remote work environment, allowing you to contribute from anywhere while engaging with a world-class research team.

Responsibilities:

• Conduct state-of-the-art research in deep learning, machine learning, computer vision, natural language processing, or other relevant AI fields.
• Design, develop, and implement novel AI algorithms and models.
• Lead and mentor a team of AI researchers and engineers, fostering a collaborative and innovative environment.
• Publish research findings in top-tier conferences and journals.
• Collaborate with product development teams to translate research breakthroughs into viable AI-powered features and products.
• Evaluate and benchmark new AI technologies and methodologies.
• Secure and manage research grants and projects.
• Stay abreast of the latest advancements in AI and machine learning through continuous learning and industry engagement.
• Develop and maintain robust research infrastructure and experimental platforms.
• Contribute to the company's intellectual property through patents and publications.
• Present research findings to technical and executive audiences.
• Ensure ethical considerations and bias mitigation are integrated into AI research and development.
• Drive the strategic direction of AI research within the organization.

Qualifications:

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Extensive research experience and a strong publication record in leading AI conferences (e.g., NeurIPS, ICML, CVPR, ACL).
• Deep expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Proven experience in leading research projects and managing teams.
• Strong programming skills in Python and experience with relevant libraries (e.g., NumPy, SciPy, Pandas).
• Excellent understanding of mathematical foundations of AI/ML, including linear algebra, calculus, and probability.
• Experience with cloud computing platforms (e.g., AWS, Azure, GCP) for AI workloads.
• Exceptional analytical, problem-solving, and critical thinking skills.
• Outstanding communication and presentation skills, with the ability to explain complex technical concepts clearly.
• Ability to thrive in a dynamic, remote research environment.
• Experience with large-scale data processing and distributed computing is a plus.

This is an unparalleled opportunity to shape the future of AI from your remote location, contributing to groundbreaking work based near Baltimore, Maryland, US . We are seeking visionary leaders ready to redefine what's possible.