Develop advanced agentic AI solutions involving structured and unstructed data, casual analytics, machine learning, deep learning, reinforcement learning, and optimization. * Design robust agent ...
Develop advanced agentic AI solutions involving structured and unstructed data, casual analytics, machine learning, deep learning, reinforcement learning, and optimization. * Design robust agent ...
Develop advanced agentic AI solutions involving structured and unstructed data, casual analytics, machine learning, deep learning, reinforcement learning, and optimization. * Design robust agent ...
Develop advanced agentic AI solutions involving structured and unstructed data, casual analytics, machine learning, deep learning, reinforcement learning, and optimization. * Design robust agent ...
Develop advanced agentic AI solutions involving structured and unstructed data, casual analytics, machine learning, deep learning, reinforcement learning, and optimization. * Design robust agent ...
Develop advanced agentic AI solutions involving structured and unstructed data, casual analytics, machine learning, deep learning, reinforcement learning, and optimization. * Design robust agent ...
Machine Learning Tutor
Fort Worth, TX · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Fort Worth, TX · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Irving, TX · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Irving, TX · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Allen, TX · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Allen, TX · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Arlington, TX · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Arlington, TX · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Plano, TX · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Plano, TX · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Dallas, TX · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Dallas, TX · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Carrollton, TX · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Carrollton, TX · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Grand Prairie, TX · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Grand Prairie, TX · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Mckinney, TX · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Mckinney, TX · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) * Ability to design experiments and training frameworks, and to outline ...
Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) * Ability to design experiments and training frameworks, and to outline ...
Train on a dedicated high-performance compute cluster specialized for deep learning research * Work with doctors and healthcare professionals to identify serious problems and leverage their domain ...
Train on a dedicated high-performance compute cluster specialized for deep learning research * Work with doctors and healthcare professionals to identify serious problems and leverage their domain ...
Train on a dedicated high-performance compute cluster specialized for deep learning research * Work with doctors and healthcare professionals to identify serious problems and leverage their domain ...
Train on a dedicated high-performance compute cluster specialized for deep learning research * Work with doctors and healthcare professionals to identify serious problems and leverage their domain ...
PyTorch, Hugging Face Transformers, Deep Learning * Spark / Hadoop, MLOps Responsibilities Design and build scalable ML/DL services; work with massive datasets; deploy production‑grade models ...
PyTorch, Hugging Face Transformers, Deep Learning * Spark / Hadoop, MLOps Responsibilities Design and build scalable ML/DL services; work with massive datasets; deploy production‑grade models ...
Machine Learning Engineer
Frisco, TX · On-site
$140 - $190/hr
Fine‑tune and deploy computer vision and deep learning models for object detection, object tracking, and OCR at scale. * Develop vision‑language models and Mixture of Experts architectures, from ...
Machine Learning Engineer
Frisco, TX · On-site
$140 - $190/hr
Fine‑tune and deploy computer vision and deep learning models for object detection, object tracking, and OCR at scale. * Develop vision‑language models and Mixture of Experts architectures, from ...
The ideal candidate will have strong expertise in deep learning, NLP, Large Language Models (LLMs), Python, and SQL, with experience developing and evaluating AI models in production environments.
New
The ideal candidate will have strong expertise in deep learning, NLP, Large Language Models (LLMs), Python, and SQL, with experience developing and evaluating AI models in production environments.
New
... of deep learning techniques such as GPT, VAE, and GANs • Extensive knowledge and understanding of large language models and their impact on generative AI, including considerations such as model ...
... of deep learning techniques such as GPT, VAE, and GANs • Extensive knowledge and understanding of large language models and their impact on generative AI, including considerations such as model ...
AVP, Machine Learning & Modeling
Irving, TX · On-site
$156K - $290K/yr
Expertise in machine learning, deep learning, and statistical modeling techniques (e.g., regression, time series, NLP, ensemble methods, neural networks). * Strong proficiency in Python, SQL, and ...
AVP, Machine Learning & Modeling
Irving, TX · On-site
$156K - $290K/yr
Expertise in machine learning, deep learning, and statistical modeling techniques (e.g., regression, time series, NLP, ensemble methods, neural networks). * Strong proficiency in Python, SQL, and ...
Deep Learning information
See Frisco, TX salary details
$20.4K is the 25th percentile. Wages below this are outliers.
$10.3K - $21.3K
27% of jobs
$21.3K - $32.2K
0% of jobs
$32.2K - $43.2K
0% of jobs
$43.2K - $54.2K
0% of jobs
$54.2K - $65.2K
0% of jobs
The median wage is $75.2K / yr.
$65.2K - $76.2K
25% of jobs
$76.2K - $87.1K
18% of jobs
$95K is the 75th percentile. Wages above this are outliers.
$87.1K - $98.1K
7% of jobs
$98.1K - $109.1K
2% of jobs
$109.1K - $120.1K
0% of jobs
$120.1K - $131K
21% of jobs
$10.3K
$78.5K
$131K
How much do deep learning jobs pay per year?
As of Aug 27, 2026, the average yearly pay for deep learning in Frisco, TX is $78,511.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,400.00 and $130,100.00 per year, depending on experience, location, and employer.
What is a deep learning job?
A Deep Learning job involves designing, developing, and optimizing neural networks to solve complex problems such as image recognition, natural language processing, and autonomous systems. Professionals in this field work with large datasets, neural network architectures, and frameworks like TensorFlow or PyTorch. They collaborate with data scientists, engineers, and researchers to improve model accuracy and efficiency. Deep Learning roles typically require strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration.
What are the typical daily responsibilities of a deep learning professional?
As a Deep Learning professional, your day-to-day tasks often include designing and training neural network models, preprocessing and analyzing large datasets, and evaluating model performance using various metrics. You may also participate in research activities, document your results, and collaborate with data scientists, engineers, or product teams to deploy machine learning solutions. Regular meetings for project updates, code reviews, and brainstorming sessions are common, as is staying updated on advances in the field. This dynamic environment offers both individual and team-based work, providing continuous learning and the opportunity to solve complex, real-world problems.
What are the key skills and qualifications needed to thrive in a deep learning position?
To thrive in Deep Learning, you need a solid understanding of machine learning theory, neural networks, mathematics (especially linear algebra and probability), and programming skills, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data preprocessing, and optionally industry-recognized certifications are advantageous. Strong analytical thinking, problem-solving skills, and the ability to communicate findings clearly are crucial soft skills. These abilities enable the design, implementation, and optimization of effective deep learning solutions in real-world applications.
What jobs use deep learning?
Jobs that use deep learning include roles such as machine learning engineer, data scientist, AI researcher, and computer vision engineer. These positions typically require skills in programming languages like Python, experience with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures. They are common in industries like technology, healthcare, automotive, and finance, often involving tasks like image recognition, natural language processing, and predictive modeling.
What are the most commonly searched types of Deep Learning jobs in Frisco, TX?
The most popular types of Deep Learning jobs in Frisco, TX are:
What are popular job titles related to Deep Learning jobs in Frisco, TX?
For Deep Learning jobs in Frisco, TX, the most frequently searched job titles are:
What cities near Frisco, TX are hiring for Deep Learning jobs?
Cities near Frisco, TX with the most Deep Learning job openings:
Executive Director - Applied Artificial Intelligence Machine Learning
Plano, TX • On-site
JPMorgan Chase & Co. •
Finance and Insurance • 10K+ employees10,000+ employees
8.0
Based on 497 frontline employees who took The Breakroom Quiz
71st of 172 rated banks
People enjoy working here
Good employer
Recommended by students
Recommended by parents
Respectful managers
Full-time
Medical, Retirement
Re-posted 19 days ago
Job description
As an Applied AI/ML Executive Director within our dynamic team, you will apply your quantitative, data science, and analytical skills to complex problems. As a Machine Learning Director, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you.
Job responsibilities
- Develop advanced agentic AI solutions involving structured and unstructed data, casual analytics, machine learning, deep learning, reinforcement learning, and optimization.
- Design robust agent architectures combining LLM reasoning with tools, structured data, and APIs spanning state, memory, and context management, plus loop engineering (plan/act/observe, verification, termination, and fallback/escalation).
- Engineer reliable agent-driven workflows emphasizing correctness, traceability, and control-aware behavior (guardrails, approvals, auditable decision paths).
- Build knowledge-centric reasoning layers, including knowledge graphs and hybrid retrieval (RAG + graph + structured sources) to improve grounding and accuracy.
- Drive specification-driven development: author specs and contracts (schemas, validators, tool/skill interfaces) and build evaluation/regression harnesses.
- Advance agent quality via recursive self-improvement through automated evaluation and critique loops, red-team feedback, skill/prompt instruction optimization, and outcome-driven dataset curation (human-in-the-loop as needed).
- Coach and mentor AI/ML team members, setting a high bar for engineering rigor and research depth.
Required qualifications, capabilities, and skills
- PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or with at least 5 years of industry experience or an MS with at least 7 years of industry or research experience in the field.
- Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
- Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
- Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
- Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
- Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems
Preferred qualifications, capabilities , and skills:
- Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development
- Knowledge in search/ranking, Reinforcement Learning or Meta Learning
- Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code
- Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
About JPMorgan Chase & Co
Sourced by ZipRecruiter
Industry
Finance and insurance and banking and credit intermediation
Company size
10,000+ Employees
Headquarters location
New York, NY, US
Website
What JPMorgan Chase & Co. employees say
Pay
Benefits
Hours and flexibility
Workplace
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