5,840 Natural Language Processing Nlp Specialist jobs in the United States

**Overview**
Do you want to join a team that's changing the world? Do you have a strong background as an AI Development Intern? Then we're looking for you! Check out the job description and apply now! Put your skills to meaningful use, gain unique experience, and work with world-class team members with diverse backgrounds and expertise who share the same vision. Join the PECNA team today!
**Responsibilities**
**Summary:** Panasonic Energy is seeking ambitious interns to join the world's largest lithium-ion battery initiative. With superior battery designs and the fastest manufacturing lines in the world, Panasonic Energy invites you to join us in this ongoing full-scale effort to electrify our society.
**Job Summary:** The Continuous Improvement & Operational Excellence AI Development Intern will contribute to cutting-edge AI research and development, transforming innovative ideas into practical prototypes and scalable solutions. This role combines research-oriented experimentation with production-level implementation, applying deep learning techniques across diverse industrial datasets. The intern will collaborate with cross-functional teams to accelerate AI adoption in business processes and drive impactful solutions to complex challenges. Additionally, the role provides opportunities to publish findings, represent the company in conferences, and engage with the broader research community.
**Internship Details:**  
+ 12-week Program: Monday, May 18th - Friday, August 7th (dates are subject to change)
+ The program will be a full-time paid summer internship working for Panasonic Energy Corporation of North America onsite in DeSoto, KS
+ Must be able to attend the entirety of the internship 
+ Local Candidates preferred
**Essential Duties:**
**Research & Development**
+ Design, experiment, and evaluate deep learning models across varied data types such as imaging, Lidar, acoustic, and tabular datasets.
+ Translate complex research papers into implementable algorithms and novel approaches.
+ Contribute to fundamental research initiatives and support proposal development for new projects.
**Engineering & Implementation**
+ Write, test, and maintain high-quality production code using Python or C++.
+ Build prototypes and infrastructure to move ideas from concept to scalable solutions.
+ Visualize and communicate results through presentations, notebooks, and documentation.
**Collaboration & Strategy**
+ Partner with internal teams and business divisions to apply AI solutions in products and processes.
+ Support strategic decision-making by providing expertise in AI/ML applications and methodologies.
**Community Engagement & Communication**
+ Publish research findings, present at conferences, and represent the company in external collaborations.
**Personal Protective Equipment (PPE) Requirements:**
+ To ensure health and safety in the workplace and for employee protection, wearing PPE is a possibility and includes equipment such as a full Tyvek suit, safety shoes, gloves, safety glasses, face mask, and a full hazmat suit that includes a respirator. A respirator fit test will be required based on functional area.
**_The foregoing description is not intended and should not be construed to be an exhaustive list of all responsibilities, skills and efforts or work conditions associated with the job. It is intended to be an accurate reflection of the general nature and level of the job._**
**Qualifications: Required and/or Preferred**
**Education:**
+ **Required:** Completion of at least two years of full-time enrollment in a Bachelor's degree program in in Computer Science, Computer Engineering, Statistics, Data Science, Applied Math, or related discipline  
+ **Preferred:** Master's Degree in Artificial Intelligence
**Essential Qualifications:**
+ Must be currently enrolled as a fulltime student at an accredited four-year college or university.
+ Completion of at least two years of full-time enrollment (minimum 12 credit hours per semester)
+ GPA of 3.2 or higher
+ Basic knowledge of project management processes and tools
+ Strong problem-solving skills.
+ Strong organizational skills.
+ Excellent interpersonal, teamwork, and collaboration skills.
+ Strong written and verbal communication skills.
+ Ability to write and communicate technical information clearly and concisely.
+ Ability to apply principles of logical or scientific thinking to a wide range of intellectual and practical problems
+ Must have working-level knowledge of the English language, including reading, writing, and speaking English 
+ Applicants must be authorized to work in the United States on a full-time basis at the time the internship begins and must not require sponsorship for employment visa status (e.g., H-1B, O-1, TN, L-1, or other employment-based visas) to participate in the program or for a fulltime role after graduation. This position is not eligible for employer-sponsored work authorization.
**Preferred Qualifications:**
+ Hands-on experience acquired through internships, jobs, research, or personal projects.
+ A desire to create a sustainable future through energy storage, renewable energy, and electric vehicles. 
**Preferred License(s):**
+ None
**Preferred Certification(s):**
+ None
**Physical Demands:**
**Physical Activities:** Percentage of time (equaling 100%) during the normal workday the employee is required to:
+ Sit: 40%
+ Walk: 30%
+ Stand: 20%
+ Lift: 10%
**Required Lifting and Carrying:** _Not required (0%), Occasional (1-33%), Frequent (34-66%), Continuous (67-100%)_
For this position, the required frequency is:
+ Up to 10 lbs.: Occasional
+ Up to 20 lbs.: Occasional
+ Up to 35 lbs.: Occasional
+ Team-lift only (over 35 lbs.): Not Required
**Who We Are:**
Meet Panasonic Energy ( ! At Panasonic Energy, you'll do work that matters as we are dedicated to transforming the world through the acceleration of sustainable energy. By producing safe, high-quality lithium-ion batteries, you become part of a team that plays a crucial role in creating technologies that move us ( .
This is an exciting time to join us as we expand our operations to De Soto, Kansas and build the world's largest lithium-ion battery factory. We will provide you with the opportunity to experience career growth in more ways than one.
As an innovative thinker, you'll thrive here, as we continually push the boundaries of lithium-ion battery technology and production capabilities to enhance efficiency and performance in EVs.
Being part of Panasonic Energy means positively contributing to society, aligning with our commitment to building a better world through sustainable energy solutions.
We care about what you care about, fostering an environment where your contributions make a meaningful impact on the future of energy and transportation. Join us and be part of a team that values your work, encourages innovation, and actively contributes to a positive societal impact.
In addition to an environment that is as innovative as our products, we offer competitive salaries and benefits.
**We Take Opportunity Seriously:**
At Panasonic Energy, we are committed to a workplace that genuinely fosters inclusion and belonging. Fairness and Honesty have been part of our core values for more than 100 years and we are proud of our diverse culture as an equal opportunity employer.
We understand that your career search may look different than others and embrace the professional, personal, educational, and volunteer opportunities through which people gain experience. If you are actively looking or starting to explore new opportunities, submit your application!
**Where You'll Be:**
For our onsite roles, Panasonic Energy is committed to fostering an ideal working environment that goes beyond the conventional. We understand the significance of moments that matter in your onsite experience, and we prioritize creating a workspace that not only promotes productivity but also ensures a fulfilling and positive work atmosphere. Join us at Panasonic Energy, where your onsite presence is valued, and we strive to make each moment count in your professional journey.
**Supplemental Information:**
Pre-employment drug testing is required.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. All qualified individuals are required to perform the essential functions of the job with or without reasonable accommodation.
Applicants must be authorized to work in the United States on a full-time basis at the time the internship begins and must not require sponsorship for employment visa status (e.g., H-1B, O-1, TN, L-1, or other employment-based visas) to participate in the program or for a fulltime role after graduation. This position is not eligible for employer-sponsored work authorization.
_Due to the high volume of responses, we will only be able to respond to candidates of interest._
**Thank you for your interest in Panasonic Energy Corporation of North America.**
**Qualifications**
**Qualifications: Required and/or Preferred**
**Essential Qualifications:**
+ Must be currently enrolled as a fulltime student at an accredited four-year college or university.
+ Completion of at least two years of full-time enrollment (minimum 12 credit hours per semester)
+ GPA of 3.2 or higher
+ Basic knowledge of project management processes and tools
+ Strong problem-solving skills.
+ Strong organizational skills.
+ Excellent interpersonal, teamwork, and collaboration skills.
+ Strong written and verbal communication skills.
+ Ability to write and communicate technical information clearly and concisely.
+ Ability to apply principles of logical or scientific thinking to a wide range of intellectual and practical problems
+ Must have working-level knowledge of the English language, including reading, writing, and speaking English 
+ Applicants must be authorized to work in the United States on a full-time basis at the time the internship begins and must not require sponsorship for employment visa status (e.g., H-1B, O-1, TN, L-1, or other employment-based visas) to participate in the program or for a fulltime role after graduation. This position is not eligible for employer-sponsored work authorization.
**Preferred Qualifications:**
+ Hands-on experience acquired through internships, jobs, research, or personal projects.
+ A desire to create a sustainable future through energy storage, renewable energy, and electric vehicles. 
R-

At BWX Technologies, Inc. (NYSE: BWXT), we are People Strong, Innovation Driven. Headquartered in Lynchburg, Va., BWXT provides safe and effective nuclear solutions for national security, clean energy, environmental remediation, nuclear medicine and space exploration. With approximately 6,400 employees, BWXT has 12 major operating sites in the U.S. and Canada. We are the sole manufacturer of naval nuclear reactors for U.S. submarines and aircraft carriers. Our company supplies precision manufactured components, services and fuel for the commercial nuclear power industry across four continents. Our joint ventures provide environmental remediation and nuclear operations management at more than a dozen U.S. Department of Energy and NASA facilities. BWXT's technology is driving advances in medical radioisotope production in North America and microreactors for various defense and space applications. Follow us on Twitter at @BWXTech and learn more at .

BWXT's Nuclear Operations Group - Lynchburg is currently seeking a Data Science Engineer for its Lynchburg, VA location!

BWXT's Welding Manufacturing Operations section is seeking a highly skilled Data Scientist to join our Welding Engineering group. This group generates vast amounts of electronic data for a variety of welding processes and applications. This role will be instrumental in setting up data warehouses, monitoring

processes, and advancing Al applications in welding manufacturing operations. The ideal candidate will have expertise in data science, machine learning, and industrial process optimization, with a focus on leveraging Al to enhance welding efficiency, quality and predictive maintenance.

Key Responsibilities:

• Data infrastructure and warehousing

• Design, develop, and maintain data warehouses to store and manage large-scale welding operations data

• Ensure seamless integration of data from various sources, including sensors, PLCs, and production databases

• Implement ETL (Extract, Transform, Load) processes for efficient data extraction and processing

Process Monitoring & Optimization:

• Develop and deploy real-time monitoring systems to track key welding parameters to detect and report anomalies

• Analyze sensor and machine data to improve weld quality, defect detection, and predictive maintenance

• Utilize statistical models, Al, and ML techniques to enhance process control and automation

Al and Machine Learning in Welding Operations:

• Develop Al-driven solutions to predict weld defects, optimize settings, andimprove process consistency

• Implement computer vision techniques for weld quality inspection and automation

• Leverage deep learning and reinforcement learning to optimize robotic welding systems

Data Analytics & Reporting:

• Create dashboards and visualization tools to provide insights into production efficiency and quality

• Perform exploratory data analysis and present findings to engineers, production teams, and leadership

• Assist in root cause analysis by correlating welding data with production outcomes

Collaboration and Continuous Improvement:

• Work closely with welding engineers, automation specialists, and IT teams to enhance manufacturing intelligence

• Remain updated on emerging Al and data science technologies relevant to industrial welding

• Provide guidance on best practices for data governance, security and compliance

Required Qualifications:

• Bachelor's degree in Data Science, Computer Science, Engineering, Statistics or related field

• Must be a US citizen with no dual citizenship

• Must be able to obtain and maintain a U.S. Department of Energy (DOE) clearance CVAA,

Technical Skills:

• Proficiency in Python, R, SQL and big data technologies

• Knowledge or experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) - Knowledge of industrial loT and sensor data processing

• Familiarity with data warehousing tools, e.g., Microsoft SQL Server

• Knowledge or experience with predictive modeling, time-series forecasting, and anomaly detection

• Knowledge or experience in computer vision for industrial applications is a plus

• Dashboard creation with Power BI would be a plus

• Knowledge of web technologies (for example REST APIs) and frameworks (e.g. React, Vue.js) would be a plus

• Knowledge of C# would be a plus

Industry Knowledge & Experience:

• Understanding of welding processes, materials, and quality control (preferred, but not mandatory)

• Previous experience in manufacturing, automation, or industrial analytics is highly desirable, but not mandatory

• Knowledge of Six Sigma, Lean Manufacturing, or process optimization techniques is a plus

Soft skills:

• Strong problem-solving skills with an analytical mindset

• Ability to communicate complex data insights to technical and non-technical stakeholders

• A team player with a collaborative approach to interdisciplinary projects

• Must possess proven ability and willingness to learn new tools

• Must be able to demonstrate superior written, oral, and interpersonal communication skills

• Must be highly self-motivated and directed, with keen attention to detail

Preferred Qualifications :

• Certifications in data science, Al, or cloud computing (AWS Certified Machine Learning, Google Professional Data Engineer, etc.)

• Master's in Data Science Preferred

• Experience with robotic and mechanized welding systems and automation

• Understanding of edge computing for real-time data processing

#LI-TDA

As a federal government contractor, BWX Technologies, Inc. and any subsidiaries, affiliates and related entities ("BWXT" or the "Company") complies with all federal, state, and local laws and customer requirements regarding COVID-19 and other health and safety protocols. As such, all BWXT new hires will be required to adhere to applicable Company COVID-19 requirements within the workplace as a condition of employment.

Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified information or matter. Position requires U.S. citizenship with (no dual citizenship) ability to obtain and maintain a Department of Energy (DOE) security clearance which involves an extensive criminal and financial background investigation, drug test and previous employment reference verifications.

BWXT supports diversity and is committed to the concept of Equal Employment Opportunity. We have established procedures to ensure that all personnel actions such as recruitment, compensation, career development, benefits, company-sponsored training and social recreational programs are administered without regard to race, color, religion, gender, national origin, citizenship, age, disability or veteran status.

At BWX Technologies, Inc. (NYSE: BWXT), we are People Strong, Innovation Driven. Headquartered in Lynchburg, Va., BWXT provides safe and effective nuclear solutions for national security, clean energy, environmental remediation, nuclear medicine and space exploration. With approximately 6,400 employees, BWXT has 12 major operating sites in the U.S. and Canada. We are the sole manufacturer of naval nuclear reactors for U.S. submarines and aircraft carriers. Our company supplies precision manufactured components, services and fuel for the commercial nuclear power industry across four continents. Our joint ventures provide environmental remediation and nuclear operations management at more than a dozen U.S. Department of Energy and NASA facilities. BWXT's technology is driving advances in medical radioisotope production in North America and microreactors for various defense and space applications. Follow us on Twitter at @BWXTech and learn more at .
**BWXT's Nuclear Operations Group - Lynchburg is currently seeking a Data Science Engineer for its Lynchburg, VA location!**
BWXT's Welding Manufacturing Operations section is seeking a highly skilled Data Scientist to join our Welding Engineering group. This group generates vast amounts of electronic data for a variety of welding processes and applications. This role will be instrumental in setting up data warehouses, monitoring
processes, and advancing Al applications in welding manufacturing operations. The ideal candidate will have expertise in data science, machine learning, and industrial process optimization, with a focus on leveraging Al to enhance welding efficiency, quality and predictive maintenance.
**Key Responsibilities:**
- Data infrastructure and warehousing
- Design, develop, and maintain data warehouses to store and manage large-scale welding operations data
- Ensure seamless integration of data from various sources, including sensors, PLCs, and production databases
- Implement ETL (Extract, Transform, Load) processes for efficient data extraction and processing
**Process Monitoring & Optimization:**
- Develop and deploy real-time monitoring systems to track key welding parameters to detect and report anomalies
- Analyze sensor and machine data to improve weld quality, defect detection, and predictive maintenance
- Utilize statistical models, Al, and ML techniques to enhance process control and automation
**Al and Machine Learning in Welding Operations:**
- Develop Al-driven solutions to predict weld defects, optimize settings, andimprove process consistency
- Implement computer vision techniques for weld quality inspection and automation
- Leverage deep learning and reinforcement learning to optimize robotic welding systems
**Data Analytics & Reporting:**
- Create dashboards and visualization tools to provide insights into production efficiency and quality
- Perform exploratory data analysis and present findings to engineers, production teams, and leadership
- Assist in root cause analysis by correlating welding data with production outcomes
**Collaboration and Continuous Improvement:**
- Work closely with welding engineers, automation specialists, and IT teams to enhance manufacturing intelligence
- Remain updated on emerging Al and data science technologies relevant to industrial welding
- Provide guidance on best practices for data governance, security and compliance
**Required Qualifications:**
- Bachelor's degree in Data Science, Computer Science, Engineering, Statistics or related field
- Must be a US citizen with no dual citizenship
- Must be able to obtain and maintain a U.S. Department of Energy (DOE) clearance CVAA,
**Technical Skills:**
- Proficiency in Python, R, SQL and big data technologies
- Knowledge or experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) - Knowledge of industrial loT and sensor data processing
- Familiarity with data warehousing tools, e.g., Microsoft SQL Server
- Knowledge or experience with predictive modeling, time-series forecasting, and anomaly detection
- Knowledge or experience in computer vision for industrial applications is a plus
- Dashboard creation with Power BI would be a plus
- Knowledge of web technologies (for example REST APIs) and frameworks (e.g. React, Vue.js) would be a plus
- Knowledge of C# would be a plus
**Industry Knowledge & Experience:**
- Understanding of welding processes, materials, and quality control (preferred, but not mandatory)
- Previous experience in manufacturing, automation, or industrial analytics is highly desirable, but not mandatory
- Knowledge of Six Sigma, Lean Manufacturing, or process optimization techniques is a plus
**Soft skills:**
- Strong problem-solving skills with an analytical mindset
- Ability to communicate complex data insights to technical and non-technical stakeholders
- A team player with a collaborative approach to interdisciplinary projects
- Must possess proven ability and willingness to learn new tools
- Must be able to demonstrate superior written, oral, and interpersonal communication skills
- Must be highly self-motivated and directed, with keen attention to detail
**Preferred Qualifications** :
- Certifications in data science, Al, or cloud computing (AWS Certified Machine Learning, Google Professional Data Engineer, etc.)
- Master's in Data Science Preferred
- Experience with robotic and mechanized welding systems and automation
+ Understanding of edge computing for real-time data processing
**#LI-TDA**
As a federal government contractor, BWX Technologies, Inc. and any subsidiaries, affiliates and related entities ("BWXT" or the "Company") complies with all federal, state, and local laws and customer requirements regarding COVID-19 and other health and safety protocols. As such, all BWXT new hires will be required to adhere to applicable Company COVID-19 requirements within the workplace as a condition of employment.
Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified information or matter. Position requires U.S. citizenship with (no dual citizenship) ability to obtain and maintain a Department of Energy (DOE) security clearance which involves an extensive criminal and financial background investigation, drug test and previous employment reference verifications.
BWXT supports diversity and is committed to the concept of Equal Employment Opportunity. We have established procedures to ensure that all personnel actions such as recruitment, compensation, career development, benefits, company-sponsored training and social recreational programs are administered without regard to race, color, religion, gender, national origin, citizenship, age, disability or veteran status.

Join the Chief Data & Analytics Office (CDAO) at JPMorgan Chase, a team dedicated to enhancing the firm's data and analytics journey, ensuring data quality, integrity, and security, and leveraging it to promote decision-making. We harness artificial intelligence and machine learning to support commercial goals, develop new products, and enhance risk management. We're offering opportunities at Sr. Associate, Vice President, and Executive Director level in New York, Palo Alto, and Seattle, WA. As a Machine Learning Scientist, you'll tackle complex challenges, apply advanced methods to tasks like natural language processing, and work collaboratively with diverse teams. Passion for machine learning and strong analytical thinking are a must.
As a Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of Excellence within the Machine Learning Center of Excellence, you will have the unique opportunity to apply sophisticated machine learning methods to a wide variety of complex tasks. You will collaborate with various teams to deploy solutions into production and promote firm-wide initiatives. You will also have the chance to independently study, research, and experiment with new innovations in the field. This role offers a chance to profoundly transform how the bank operates.
**Job Responsibilities**
+ Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community
+ Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems
+ Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
+ Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
**Required qualifications, capabilities, and skills**
+ PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science or a MS with at least three years of industry or research experience in the field
+ Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods
+ 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
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
**Base Pay/Salary**
Seattle,WA $164,350.00 - $60,000.00 / year; Palo Alto,CA 164,350.00 - 260,000.00 / year

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.
As a Vice President in the Machine Learning Scientist - Natural Language Processing (NLP) team, you will be responsible for applying advanced machine learning techniques to a variety of complex tasks. These tasks include natural language processing, speech analytics, time series, reinforcement learning, and recommendation systems. You will work closely with different teams and actively contribute to our knowledge sharing community.
In a highly collaborative environment, you will partner with business professionals, technologists, and control partners to implement solutions into production. Your passion for machine learning should be evident, and you should be willing to dedicate time to learning, researching, and experimenting with new innovations in the field. Your expertise in Deep Learning, coupled with hands-on implementation experience, strong analytical thinking, a deep desire to learn, and high motivation, will be crucial for this role.
**Job Responsibilities**
+ Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community
+ Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems
+ Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
+ Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
**Required qualifications, capabilities, and skills**
+ PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with three years of industry experience Or an MS with at least five years of industry or research experience in the field.
+ Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods
+ 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
#LI-ID1
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
**Base Pay/Salary**
Palo Alto,CA $164,350.00 - $60,000.00 / year; Seattle,WA 164,350.00 - 260,000.00 / year; New York,NY 164,350.00 - 260,000.00 / year

Join the Chief Data & Analytics Office (CDAO) at JPMorgan Chase, a team dedicated to enhancing the firm's data and analytics journey, ensuring data quality, integrity, and security, and leveraging it to promote decision-making. We harness artificial intelligence and machine learning to support commercial goals, develop new products, and enhance risk management. We're offering opportunities at Sr. Associate, Vice President, and Executive Director level in New York, Palo Alto, and Seattle, WA. As a Machine Learning Scientist, you'll tackle complex challenges, apply advanced methods to tasks like natural language processing, and work collaboratively with diverse teams. Passion for machine learning and strong analytical thinking are a must.
As a Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of Excellence within the Machine Learning Center of Excellence, you will have the unique opportunity to apply sophisticated machine learning methods to a wide variety of complex tasks. You will collaborate with various teams to deploy solutions into production and promote firm-wide initiatives. You will also have the chance to independently study, research, and experiment with new innovations in the field. This role offers a chance to profoundly transform how the bank operates.
**Job Responsibilities**
+ Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community
+ Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems
+ Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
+ Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
**Required qualifications, capabilities, and skills**
+ PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science or a MS with at least three years of industry or research experience in the field
+ Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods
+ 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
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
**Base Pay/Salary**
Seattle,WA $164,350.00 - $60,000.00 / year; Palo Alto,CA 164,350.00 - 260,000.00 / year; New York,NY 164,350.00 - 260,000.00 / year

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.
As a Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate in the Machine Learning Center of Excellence, you will 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 the knowledge sharing community. You should excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. You should also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. You should have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated.
The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated.
**Job Responsibilities**
+ Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community
+ Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems
+ Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
+ Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
**Required qualifications, capabilities, and skills**
+ PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with at least 3 years of industry or research experience in the field.
+ Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods
+ 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
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
**Base Pay/Salary**
Palo Alto,CA $128,250.00 - $95,000.00 / year; New York,NY 128,250.00 - 195,000.00 / year; Seattle,WA 128,250.00 - 195,000.00 / year

Join the Chief Data & Analytics Office (CDAO) at JPMorgan Chase, a team dedicated to enhancing the firm's data and analytics journey, ensuring data quality, integrity, and security, and leveraging it to promote decision-making. We harness artificial intelligence and machine learning to support commercial goals, develop new products, and enhance risk management. We're offering opportunities at Sr. Associate, Vice President, and Executive Director level in New York, Palo Alto, and Seattle, WA. As a Machine Learning Scientist, you'll tackle complex challenges, apply advanced methods to tasks like natural language processing, and work collaboratively with diverse teams. Passion for machine learning and strong analytical thinking are a must.

As a Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of Excellence within the Machine Learning Center of Excellence, you will have the unique opportunity to apply sophisticated machine learning methods to a wide variety of complex tasks. You will collaborate with various teams to deploy solutions into production and promote firm-wide initiatives. You will also have the chance to independently study, research, and experiment with new innovations in the field. This role offers a chance to profoundly transform how the bank operates.

Job Responsibilities

• Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community
• Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems
• Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
• Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business

Required qualifications, capabilities, and skills

• PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science or a MS with at least three years of industry or research experience in the field
• Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods
• 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

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

Base Pay/Salary
Seattle,WA $164,350.00 - $60,000.00 / year; Palo Alto,CA 164,350.00 - 260,000.00 / year

Join the Chief Data & Analytics Office (CDAO) at JPMorgan Chase, a team dedicated to enhancing the firm's data and analytics journey, ensuring data quality, integrity, and security, and leveraging it to promote decision-making. We harness artificial intelligence and machine learning to support commercial goals, develop new products, and enhance risk management. We're offering opportunities at Sr. Associate, Vice President, and Executive Director level in New York, Palo Alto, and Seattle, WA. As a Machine Learning Scientist, you'll tackle complex challenges, apply advanced methods to tasks like natural language processing, and work collaboratively with diverse teams. Passion for machine learning and strong analytical thinking are a must.

As a Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of Excellence within the Machine Learning Center of Excellence, you will have the unique opportunity to apply sophisticated machine learning methods to a wide variety of complex tasks. You will collaborate with various teams to deploy solutions into production and promote firm-wide initiatives. You will also have the chance to independently study, research, and experiment with new innovations in the field. This role offers a chance to profoundly transform how the bank operates.

Job Responsibilities

• Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community
• Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems
• Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
• Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business

Required qualifications, capabilities, and skills

• PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science or a MS with at least three years of industry or research experience in the field
• Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods
• 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

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

Base Pay/Salary
Palo Alto,CA $164,350.00 - $60,000.00 / year; Seattle,WA 164,350.00 - 260,000.00 / year; New York,NY 164,350.00 - 260,000.00 / year