Description
The Leidos Innovations Center (LInC) is looking for a Research Scientist in the area of Machine Learning (ML) who has a proven track record in developing technology-based approaches that yield novel, innovative capabilities while advancing the state of the art.
Please note: This position can support remote/teleworking, however selected candidate must be willing to travel at least 25%. Preference will be given to candidates who are local to the Northern Virginia area.
Primary Responsibilities
The innovative technical solutions will advance the state of the art in machine learning and/or artificial intelligence while addressing long-term problems of importance to national security. As such, candidates should have successful, proven, and demonstrable experience:
Leading proposals, winning competitive research, and development efforts, and then leading high-performing teams in the development and integration of software-based solutions for customers such as DARPA, IARPA and other branches of the Department of Defense and Intelligence Community.
Serve in the role of principal investigator on contract R&D and internal R&D programs.
Engage R&D customers and transition partners to develop new business opportunities and leading teams of researchers and engineers in the development, adaptation, and extension of innovative ML-based approaches and solutions across a range of technical areas and application domains, for diverse and often disparate types of data and complexity, and for projects that are inherently both fundamental and applied in nature.
Have a hands-on role and expected to customize and create various machine learning algorithms to operate over multi-domain data and optimizing the performance of those algorithms on the data.
Develop expertise in one or more technical domains, demonstrating ability to automate, extract, and prepare features from multi-domain datasets as well as modify and optimize various models within their technical domain. For example, they may adapt NLP libraries/toolkits that include transformer models like BERT and ChatGPT, as well as Stanford CoreNLP, Spacy, NLTK, Word2Vec, and Gensim for linguistics application or models like SSD, YOLO, DINO, and Faster-RCNN for computer vision tasks.
Basic Qualifications
We are seeking a dynamic and entrepreneurial technical leader to drive our DARPA customer engagements and develop innovative technical solutions. This candidate should be able to identify emerging technologies and evaluate the adaptation of these technologies to DoD use cases.
B.S in Electrical Engineering, Computational Linguistics, Computer Science, Mathematics, or related technical field. with 12+ years of prior relevant experience, M.S degree with 10+ years of prior relevant experience, or Ph.D. with 8+ years of experience (Ph.D. preferred)
Proven track record in proposing, winning, and executing work with customers such as DARPA/IARPA within the last 5 years.
Industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in their technical domain area (e.g., NLP, CV, etc.)
At least 5 years of hands-on experience adapting the following technologies in the development of novel technology-based approaches as part of research projects: NumPy, SciPy, scikit-learn, TensorFlow, Pytorch, Keras, Genism, OpenCV, etc.
Strong and proven customer relationship skills including the ability to discover the true technical challenges and requirements associated with opportunities, recommending alternative technical approaches, and shaping future opportunities.
Understanding of transformers and foundation models
Python proficiency
Proficiency in developing, training, and deploying models both in Cloud platforms as well as on-prem resources. Any experience deploying models on Size, Weight, and Power (SWaP) constrained platforms is highly desired.
Self-starter with high intellectual curiosity
Great communication skills, able to explain model training and performance results to a non-technical audience
Proficient in data exploration techniques and tools
Must be a U.S Citizen
Ability to obtain a DoD Secret clearance with potential eligibility for Top Secret
Preferred Qualifications
Ph.D. in Electrical Engineering, Computational Linguistics, Computer Science, Mathematics, or related technical field.
Track record of extending ML and AI tools and algorithms for new challenges
Experience applying and leading the application of ML/AI-based approaches and techniques in fundamental research contexts, to problems in complex domains, under conditions of uncertainty, and dynamic and evolving technical challenges
Ability to work in a fast-paced environment
Excellent written and oral skills in communicating technical information with an ability to present complex technical information clearly and coherently
Proven experience forming strong teams composed of members from academia and industry for competitive research and development opportunities.
Experience operating within agile project execution environments and proficiency with agile tools (e.g., JIRA)
Practical understanding of generative models
Experience programming machine learning algorithms for GPUs
Understanding of Convolutional Neural Nets
Experience adapting large language models technologies
Discernment of when and how to use machine learning regulation
Experience adapting ML algorithms and tools with operational workflows for customers in the US government
Local to the Northern Virginia area
LInC
Original Posting Date: 2024-11-06 While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range: Pay Range $122,200.00 - $220,900.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
#Remote

Description
Are you looking for a career that will make an impact?
The Health and Civil Sector at Leidos currently has an opening for a Sleep Research Scientist to work within the Naval Health Research Center’s Warfighter Performance Department. This is an exciting opportunity to use your experience to help our program’s research mission to advance technologies to overcome operational challenges and to enhance Warfighter health and readiness.
Are you ready for unique and exciting work?
As a Sleep Research Scientist, you will have the opportunity to develop sound technical approaches to solve complex issues and problems that impact multiple areas and disciplines. The successful candidate will have a proven track record of leading projects to successful completion.
Primary Responsibilities:
Lead or conduct research in laboratory and field settings focused on advancing technology for fatigue risk monitoring and other operational applications.
Serve as the co-Investigator and primary point of contact for the research team.
Design and conduct experiments to evaluate the efficacy and accuracy of sleep monitoring devices and wearables.
Manage and process large data sets containing accelerometry, heart rate, and other physiological measurements.
Write documentation: Maintain detailed documentation of research findings, methodologies, and results for internal DoD reports.
Collaborate with cross-functional teams including engineers, data scientists, and active-duty military to develop innovative solutions to issues related to practical applications of sleep, fatigue, and human performance research.
Operate and maintain research equipment including various wearable sensors, data collection computers, and other measurement devices.
Develop and implement protocols for collecting and analyzing data using various experimental and research paradigms.
Stay up to date with the latest advancements in technology and wearables related to sleep monitoring.
Provide technical guidance and support to junior researchers and team members.
Publish research findings in peer-reviewed journals and present at conferences.
Work closely with industry partners to explore potential collaborations and technology transfer opportunities.
Contribute to grant writing and funding proposals to support research initiatives.
Occasionally work overnights and weekends as needed for research project execution.
Travel domestically and internationally as required for project, program, and contract needs.
Perform other duties and responsibilities as required for the customer research mission.
Model Leidos Mission, Vision, and Values at all times.
If this sounds like an environment where you can thrive, keep reading for the keys to success!
Required Qualifications:
PhD in Physiology, Psychology, Exercise Science, Kinesiology, Human Factors, Behavioral Science, or related field.
Minimum of 2 years of prior relevant experience (post PhD) (e.g., post doc or industry ok).
Minimum of 2 years of demonstrated experience (post PhD) with wearable sensors or systems for data collections, analyses/visualization of biometric wearable data.
Demonstrated proficiency in basic and complex statistical modeling.
Proven track record of conducting research in sleep science with a focus on technology development or novel implementation.
Strong understanding of technical concepts related to data management, programming, or signal processing.
Excellent communication skills with the ability to effectively collaborate with interdisciplinary teams.
Demonstrated ability to lead research projects and mentor junior researchers.
Publication record in peer-reviewed journals related to sleep science and technology.
Ability to work independently and manage multiple projects simultaneously.
Must be a US Citizen and be able to obtain and maintain a secret clearance.
Ability to work onsite at the customer site in San Diego and other locations in San Diego County as directed (approximately 3 days per week).
Ability to travel as directed to both domestic and international locations.
Preferred Qualifications:
At least some demonstrated experience conducting research and process improvement activities within military operational or other applied settings.
Some computer science skills preferred, such as familiarity with database management or signal processing.
Proficiency in programming languages such as R, Python, or MATLAB.
Basic understanding of system architecture and cloud computing concepts preferred.

#J-18808-Ljbffr

Description
The Leidos Innovations Center (LInC) is looking for a Research Scientist in the area of Machine Learning (ML) who has a proven track record in developing technology-based approaches that yield novel, innovative capabilities while advancing the state of the art.
Please note: This position can support remote/teleworking, however selected candidate must be willing to travel at least 25%. Preference will be given to candidates who are local to the Northern Virginia area.
Primary Responsibilities
The innovative technical solutions will advance the state of the art in machine learning and/or artificial intelligence while addressing long-term problems of importance to national security. As such, candidates should have successful, proven, and demonstrable experience:
Leading proposals, winning competitive research, and development efforts, and then leading high-performing teams in the development and integration of software-based solutions for customers such as DARPA, IARPA and other branches of the Department of Defense and Intelligence Community.
Serve in the role of principal investigator on contract R&D and internal R&D programs.
Engage R&D customers and transition partners to develop new business opportunities and leading teams of researchers and engineers in the development, adaptation, and extension of innovative ML-based approaches and solutions across a range of technical areas and application domains, for diverse and often disparate types of data and complexity, and for projects that are inherently both fundamental and applied in nature.
Have a hands-on role and expected to customize and create various machine learning algorithms to operate over multi-domain data and optimizing the performance of those algorithms on the data.
Develop expertise in one or more technical domains, demonstrating ability to automate, extract, and prepare features from multi-domain datasets as well as modify and optimize various models within their technical domain. For example, they may adapt NLP libraries/toolkits that include transformer models like BERT and ChatGPT, as well as Stanford CoreNLP, Spacy, NLTK, Word2Vec, and Gensim for linguistics application or models like SSD, YOLO, DINO, and Faster-RCNN for computer vision tasks.
Basic Qualifications
We are seeking a dynamic and entrepreneurial technical leader to drive our DARPA customer engagements and develop innovative technical solutions. This candidate should be able to identify emerging technologies and evaluate the adaptation of these technologies to DoD use cases.
B.S in Electrical Engineering, Computational Linguistics, Computer Science, Mathematics, or related technical field. with 12+ years of prior relevant experience, M.S degree with 10+ years of prior relevant experience, or Ph.D. with 8+ years of experience (Ph.D. preferred)
Proven track record in proposing, winning, and executing work with customers such as DARPA/IARPA within the last 5 years.
Industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in their technical domain area (e.g., NLP, CV, etc.)
At least 5 years of hands-on experience adapting the following technologies in the development of novel technology-based approaches as part of research projects: NumPy, SciPy, scikit-learn, TensorFlow, Pytorch, Keras, Genism, OpenCV, etc.
Strong and proven customer relationship skills including the ability to discover the true technical challenges and requirements associated with opportunities, recommending alternative technical approaches, and shaping future opportunities.
Understanding of transformers and foundation models
Python proficiency
Proficiency in developing, training, and deploying models both in Cloud platforms as well as on-prem resources. Any experience deploying models on Size, Weight, and Power (SWaP) constrained platforms is highly desired.
Self-starter with high intellectual curiosity
Great communication skills, able to explain model training and performance results to a non-technical audience
Proficient in data exploration techniques and tools
Must be a U.S Citizen
Ability to obtain a DoD Secret clearance with potential eligibility for Top Secret
Preferred Qualifications
Ph.D. in Electrical Engineering, Computational Linguistics, Computer Science, Mathematics, or related technical field.
Track record of extending ML and AI tools and algorithms for new challenges
Experience applying and leading the application of ML/AI-based approaches and techniques in fundamental research contexts, to problems in complex domains, under conditions of uncertainty, and dynamic and evolving technical challenges
Ability to work in a fast-paced environment
Excellent written and oral skills in communicating technical information with an ability to present complex technical information clearly and coherently
Proven experience forming strong teams composed of members from academia and industry for competitive research and development opportunities.
Experience operating within agile project execution environments and proficiency with agile tools (e.g., JIRA)
Practical understanding of generative models
Experience programming machine learning algorithms for GPUs
Understanding of Convolutional Neural Nets
Experience adapting large language models technologies
Discernment of when and how to use machine learning regulation
Experience adapting ML algorithms and tools with operational workflows for customers in the US government
Local to the Northern Virginia area
LInC
Original Posting Date:   2024-11-06  While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:   Pay Range $122,200.00 - $220,900.00  The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
#Remote

Description The Leidos Innovations Center (LInC) is looking for a Research Scientist in the area of Machine Learning (ML) who has a proven track record in developing technology-based approaches that yield novel, innovative capabilities while advancing the state of the art. Please note: This position can support remote/teleworking, however selected candidate must be willing to travel at least 25%. Preference will be given to candidates who are local to the Northern Virginia area. Primary Responsibilities The innovative technical solutions will advance the state of the art in machine learning and/or artificial intelligence while addressing long-term problems of importance to national security. As such, candidates should have successful, proven, and demonstrable experience: <ul> <li>Leading proposals, winning competitive research, and development efforts, and then leading high-performing teams in the development and integration of software-based solutions for customers such as DARPA, IARPA and other branches of the Department of Defense and Intelligence Community. </li><li>Serve in the role of principal investigator on contract R&D and internal R&D programs. </li><li>Engage R&D customers and transition partners to develop new business opportunities and leading teams of researchers and engineers in the development, adaptation, and extension of innovative ML-based approaches and solutions across a range of technical areas and application domains, for diverse and often disparate types of data and complexity, and for projects that are inherently both fundamental and applied in nature. </li><li>Have a hands-on role and expected to customize and create various machine learning algorithms to operate over multi-domain data and optimizing the performance of those algorithms on the data. </li> <li>Develop expertise in one or more technical domains, demonstrating ability to automate, extract, and prepare features from multi-domain datasets as well as modify and optimize various models within their technical domain. For example, they may adapt NLP libraries/toolkits that include transformer models like BERT and ChatGPT, as well as Stanford CoreNLP, Spacy, NLTK, Word2Vec, and Gensim for linguistics application or models like SSD, YOLO, DINO, and Faster-RCNN for computer vision tasks. </li></ul> Basic Qualifications We are seeking a dynamic and entrepreneurial technical leader to drive our DARPA customer engagements and develop innovative technical solutions. This candidate should be able to identify emerging technologies and evaluate the adaptation of these technologies to DoD use cases. <ul> <li>B.S in Electrical Engineering, Computational Linguistics, Computer Science, Mathematics, or related technical field. with 12+ years of prior relevant experience, M.S degree with 10+ years of prior relevant experience, or Ph.D. with 8+ years of experience (Ph.D. preferred) </li><li>Proven track record in proposing, winning, and executing work with customers such as DARPA/IARPA within the last 5 years. </li><li>Industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in their technical domain area (e.g., NLP, CV, etc.) </li><li>At least 5 years of hands-on experience adapting the following technologies in the development of novel technology-based approaches as part of research projects: NumPy, SciPy, scikit-learn, TensorFlow, Pytorch, Keras, Genism, OpenCV, etc. </li><li>Strong and proven customer relationship skills including the ability to discover the true technical challenges and requirements associated with opportunities, recommending alternative technical approaches, and shaping future opportunities. </li><li>Understanding of transformers and foundation models </li><li>Python proficiency </li><li>Proficiency in developing, training, and deploying models both in Cloud platforms as well as on-prem resources. Any experience deploying models on Size, Weight, and Power (SWaP) constrained platforms is highly desired. </li><li>Self-starter with high intellectual curiosity </li><li>Great communication skills, able to explain model training and performance results to a non-technical audience </li><li>Proficient in data exploration techniques and tools </li><li>Must be a U.S Citizen </li><li>Ability to obtain a DoD Secret clearance with potential eligibility for Top Secret </li></ul> Preferred Qualifications <ul> <li>Ph.D. in Electrical Engineering, Computational Linguistics, Computer Science, Mathematics, or related technical field. </li><li>Track record of extending ML and AI tools and algorithms for new challenges </li><li>Experience applying and leading the application of ML/AI-based approaches and techniques in fundamental research contexts, to problems in complex domains, under conditions of uncertainty, and dynamic and evolving technical challenges </li><li>Ability to work in a fast-paced environment </li><li>Excellent written and oral skills in communicating technical information with an ability to present complex technical information clearly and coherently </li><li>Proven experience forming strong teams composed of members from academia and industry for competitive research and development opportunities. </li><li>Experience operating within agile project execution environments and proficiency with agile tools (e.g., JIRA) </li><li>Practical understanding of generative models </li><li>Experience programming machine learning algorithms for GPUs </li><li>Understanding of Convolutional Neural Nets </li><li>Experience adapting large language models technologies </li><li>Discernment of when and how to use machine learning regulation </li><li>Experience adapting ML algorithms and tools with operational workflows for customers in the US government </li><li>Local to the Northern Virginia area </li></ul> LInC <h5>Original Posting Date: </h5>2024-11-06 While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. <h5>Pay Range: </h5>Pay Range $122,200.00 - $220,900.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. #Remote

Description
Are you looking for a career that will make an impact? The Health and Civil Sector at Leidos currently has an opening for a Sleep Research Scientist to work within the Naval Health Research Center’s Warfighter Performance Department. This is an exciting opportunity to use your experience to help our program’s research mission to advance technologies to overcome operational challenges and to enhance Warfighter health and readiness.
Are you ready for unique and exciting work? As a Sleep Research Scientist, you will have the opportunity to develop sound technical approaches to solve complex issues and problems that impact multiple areas and disciplines. The successful candidate will have a proven track record of leading projects to successful completion.
Primary Responsibilities:
Lead or conduct research in laboratory and field settings focused on advancing technology for fatigue risk monitoring and other operational applications.
Serve as the co-Investigator and primary point of contact for the research team.
Design and conduct experiments to evaluate the efficacy and accuracy of sleep monitoring devices and wearables.
Manage and process large data sets containing accelerometry, heart rate, and other physiological measurements.
Write documentation: Maintain detailed documentation of research findings, methodologies, and results for internal DoD reports.
Collaborate with cross-functional teams including engineers, data scientists, and active-duty military to develop innovative solutions to issues related to practical applications of sleep, fatigue, and human performance research.
Operate and maintain research equipment including various wearable sensors, data collection computers, and other measurement devices.
Develop and implement protocols for collecting and analyzing data using various experimental and research paradigms.
Stay up to date with the latest advancements in technology and wearables related to sleep monitoring.
Provide technical guidance and support to junior researchers and team members.
Publish research findings in peer-reviewed journals and present at conferences.
Work closely with industry partners to explore potential collaborations and technology transfer opportunities.
Contribute to grant writing and funding proposals to support research initiatives.
Occasionally work overnights and weekends as needed for research project execution.
Travel domestically and internationally as required for project, program, and contract needs.
Perform other duties and responsibilities as required for the customer research mission.
Model Leidos Mission, Vision, and Values at all times.
Required Qualifications:
PhD in Physiology, Psychology, Exercise Science, Kinesiology, Human Factors, Behavioral Science, or related field
Minimum of 2 years of prior relevant experience (post PhD) (e.g., post doc or industry ok)
Minimum of 2 years of demonstrated experience (post PhD) with wearable sensors or systems for data collections, analyses/visualization of biometric wearable data.
Demonstrated proficiency in basic and complex statistical modeling.
Proven track record of conducting research in sleep science with a focus on technology development or novel implementation.
Strong understanding of technical concepts related to data management, programming, or signal processing.
Excellent communication skills with the ability to effectively collaborate with interdisciplinary teams.
Demonstrated ability to lead research projects and mentor junior researchers.
Publication record in peer-reviewed journals related to sleep science and technology.
Ability to work independently and manage multiple projects simultaneously.
Must be a US Citizen and be able to obtain and maintain a secret clearance.
Ability to work onsite at the customer site in San Diego and other locations in San Diego County as directed (approximately 3 days per week)
Ability to travel as directed to both domestic and international locations.
Preferred Qualifications:
At least some demonstrated experience conducting research and process improvement activities within military operational or other applied settings.
Some computer science skills preferred, such as familiarity with database management or signal processing.
Proficiency in programming languages such as R, Python, or MATLAB.
Basic understanding of system architecture and cloud computing concepts preferred.

#J-18808-Ljbffr

Research Scientist, Scientist, Research, Technology

Description
Are you looking for a career that will make an impact?
The Health and Civil Sector at Leidos currently has an opening for a Sleep Research Scientist to work within the Naval Health Research Center's Warfighter Performance Department. This is an exciting opportunity to use your experience to help our program's research mission to advance technologies to overcome operational challenges and to enhance Warfighter health and readiness.
Are you ready for unique and exciting work?
As a Sleep Research Scientist, you will have the opportunity to develop sound technical approaches to solve complex issues and problems that impact multiple areas and disciplines. The successful candidate will have a proven track record of leading projects to successful completion.
Primary Responsibilities:
Lead or conduct research in laboratory and field settings focused on advancing technology for fatigue risk monitoring and other operational applications.
Serve as the co-Investigator and primary point of contact for the research team.
Design and conduct experiments to evaluate the efficacy and accuracy of sleep monitoring devices and wearables.
Manage and process large data sets containing accelerometry, heart rate, and other physiological measurements.
Write documentation: Maintain detailed documentation of research findings, methodologies, and results for internal DoD reports.
Collaborate with cross-functional teams including engineers, data scientists, and active-duty military to develop innovative solutions to issues related to practical applications of sleep, fatigue, and human performance research.
Operate and maintain research equipment including various wearable sensors, data collection computers, and other measurement devices.
Develop and implement protocols for collecting and analyzing data using various experimental and research paradigms.
Stay up to date with the latest advancements in technology and wearables related to sleep monitoring.
Provide technical guidance and support to junior researchers and team members.
Publish research findings in peer-reviewed journals and present at conferences.
Work closely with industry partners to explore potential collaborations and technology transfer opportunities.
Contribute to grant writing and funding proposals to support research initiatives.
Occasionally work overnights and weekends as needed for research project execution.
Travel domestically and internationally as required for project, program, and contract needs.
Perform other duties and responsibilities as required for the customer research mission.
Model Leidos Mission, Vision, and Values at all times.
Required Qualifications:
PhD in Physiology, Psychology, Exercise Science, Kinesiology, Human Factors, Behavioral Science, or related field.
Minimum of 2 years of prior relevant experience (post PhD) (e.g., post doc or industry ok).
Minimum of 2 years of demonstrated experience (post PhD) with wearable sensors or systems for data collections, analyses/visualization of biometric wearable data.
Demonstrated proficiency in basic and complex statistical modeling.
Proven track record of conducting research in sleep science with a focus on technology development or novel implementation.
Strong understanding of technical concepts related to data management, programming, or signal processing.
Excellent communication skills with the ability to effectively collaborate with interdisciplinary teams.
Demonstrated ability to lead research projects and mentor junior researchers.
Publication record in peer-reviewed journals related to sleep science and technology.
Ability to work independently and manage multiple projects simultaneously.
Must be a US Citizen and be able to obtain and maintain a secret clearance.
Ability to work onsite at the customer site in San Diego and other locations in San Diego County as directed (approximately 3 days per week).
Ability to travel as directed to both domestic and international locations.
Preferred Qualifications:
At least some demonstrated experience conducting research and process improvement activities within military operational or other applied settings.
Some computer science skills preferred, such as familiarity with database management or signal processing.
Proficiency in programming languages such as R, Python, or MATLAB.
Basic understanding of system architecture and cloud computing concepts preferred.
Naval Health West - NHW
Original Posting Date:  2024-11-20
Pay Range:  Pay Range $81,250.00 - $146,875.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
#Featuredjob

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Research Scientist, Technical, Research, Scientist, Lead, Cyber, Technology

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Machine Learning Research ScientistDecember 3, 2024

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