34 Robotics jobs in Baltimore

Are you a talented scientist looking to achieve technical breakthroughs at the cutting edge of artificial intelligence (AI) and machine learning (ML)?

Do you thrive in a collaborative research environment, working alongside an energetic, multidisciplinary team of scientists and engineers?

Are you ready to help the US secure and maintain leadership in the development and fielding of AI/ML algorithms for non-kinetic defense systems?

If so, we 're looking for someone like you to join our team at APL.

We are seeking an experienced Research Scientist to make substantial technical contributions in the pursuit of advanced research and innovative applications of AI/ML. You will be joining a team of engineers and scientists who are at the forefront of APL's mission to provide innovative solutions to critical challenges.

As an AI/ML Research Scientist, you will:

• Pursue research that advances the science and applications of AI/ML to develop novel technical capabilities poised to revolutionize 21st century national security.
• Design, implement, and evaluate new algorithms, models, and agents for super human decision making, reinforcement learning, and machine learning generally.
• Collaborate closely with the talented team of scientists and engineers in our group and with others across APL.
• Document and publish your scientific results in academic conferences and journals to advance our collective knowledge in this fast paced, dynamic field of study.

You meet the minimum requirements for the job if you.

• Hold a PhD in Computer Science, Engineering, Math, Statistics, or a related field.
• Have a deep understanding of, and demonstrated expertise in, technical efforts related to AI/ML: deep learning, reinforcement learning, AI Explainability, or a closely related area.
• Have strong, effective communication skills - both verbal and written.
• Have experience developing AI/ML research prototypes in code, using one or more of scikitlearn, Tensorflow, PyTorch, or similar machine learning frameworks in Python.

• Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You 'll go above and beyond our minimum requirements if you.

• Have at least five years of relevant experience.
• Possess demonstrated research experience represented by publications in academic conferences and journals.

• Have a track record of proposing, developing, and successfully executing novel research initiatives in the application of AI/ML.
• Have a strong understanding of state-of-the-art techniques in neural networks and reinforcement learning.
• Have experience working with models and simulations using C, C++, Java or other suitable programming languages (in addition to Python).

Why Work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nations most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APLs campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact

The referenced pay range is based on JHU APLs good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.

Do you have demonstrated machine learning experience and want to apply that experience to solving a wide variety of complex problems in this rapidly evolving field? Do you thrive in a collaborative research environment, working alongside an energetic, multidisciplinary team of scientists and engineers? Are you ready to help the US secure and maintain leadership in the development and deployment of AI/ML algorithms for non-kinetic defense systems? If so, were looking for someone like you to join our team at APL.

We are seeking an experienced Machine Learning Engineer who will contribute to all phases of the machine learning algorithm development and implementation. You will be joining a team of engineers and scientists who are at the forefront of APL's mission to provide innovative solutions to critical challenges.

As a Machine Learning Engineer, you will:

• Design, implement, and evaluate advanced machine learning algorithms to solve challenging real-world planning, perception, coordination, and control problems in support of national defense.
• Develop software pipelines to integrate data streams, simulation environments, and intelligent decision-making algorithms.
• Work with technologies and concepts at the cutting edge of AI, including but not limited to: deep reinforcement learning, foundation models, large language models, convolutional/recurrent/graph neural networks, computer vision, and physics-based modeling and simulation tools.
• Collaborate closely with the talented team of scientists and engineers in our group and with others across APL.
• Engage directly with sponsors to communicate proposed concepts, solutions, and analysis.

Qualifications

You meet the minimum requirements for the job if you.

• Have a Bachelor's degree in Mathematics, Physics, Engineering, Computer Science, or a related field.
• Have at least 2+ years of experience in machine learning and data science fields.
• Have at least one year of hands-on experience applying/developing machine learning algorithms using common libraries such as PyTorch or TensorFlow.
• Have strong foundational knowledge in at least two of the following: classification, clustering, deep learning, reinforcement learning, computer vision (object detection and visual tracking), multi-agent systems, or optimization/control theory.
• Have demonstrated experience in working with version control software like Git.
• Have strong, effective communication skills - both verbal and written.
• Are able to obtain an interim Secret level security clearance by your start date and can ultimately obtain a Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

Youll go above and beyond our minimum requirements if you.

• Have an MS in Mathematics, Physics, Engineering, Computer Science, or a related field.
• Have 5+ years of experience in designing and implementing AI/ML algorithms for a variety of datasets.
• Have proven experience applying state-of-the-art deep learning techniques to solve distributed resource allocation problems.
• Have hands-on experience building computer vision pipelines for detection, tracking, segmentation, or multi-modal sensor fusion.
• Have experience with modeling and simulation platforms such as AFSIM, Blender, Unity, or Unreal.
• Are comfortable working in high performance computing environments (GPU/CPU clusters).
• Have proficiency in one or more of the following technology areas: multi-agent reinforcement learning, geometric deep learning, multi-modal sensor fusion, agentic AI.
• Have a track record of writing deployable, production-level code (Python, C/C++) for real-world applications.

About Us

Why work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area.

APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact

The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development.

Join to apply for the Machine Learning Researcher role at Johns Hopkins Applied Physics Laboratory Join to apply for the Machine Learning Researcher role at Johns Hopkins Applied Physics Laboratory Johns Hopkins Applied Physics Laboratory provided pay range This range is provided by Johns Hopkins Applied Physics Laboratory. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $90,000.00/yr - $50,000.00/yr Description Are you a talented scientist looking to achieve technical breakthroughs at the cutting edge of artificial intelligence (AI) and machine learning (ML)? Do you thrive in a collaborative research environment, working alongside an energetic, multidisciplinary team of scientists and engineers? Are you ready to help the US secure and maintain leadership in the development and fielding of AI/ML algorithms for non-kinetic defense systems? If so, we 're looking for someone like you to join our team at APL. We are seeking an experienced Research Scientist to make substantial technical contributions in the pursuit of advanced research and innovative applications of AI/ML. You will be joining a team of engineers and scientists who are at the forefront of APL's mission to provide innovative solutions to critical challenges. As An AI/ML Research Scientist, You Will Pursue research that advances the science and applications of AI/ML to develop novel technical capabilities poised to revolutionize 21st century national security. Design, implement, and evaluate new algorithms, models, and agents for super human decision making, reinforcement learning, and machine learning generally. Collaborate closely with the talented team of scientists and engineers in our group and with others across APL. Document and publish your scientific results in academic conferences and journals to advance our collective knowledge in this fast paced, dynamic field of study. Qualifications You meet the minimum requirements for the job if you. Hold a PhD in Computer Science, Engineering, Math, Statistics, or a related field. Have a deep understanding of, and demonstrated expertise in, technical efforts related to AI/ML: deep learning, reinforcement learning, AI Explainability, or a closely related area. Have strong, effective communication skills - both verbal and written. Have experience developing AI/ML research prototypes in code, using one or more of scikitlearn, Tensorflow, PyTorch, or similar machine learning frameworks in Python. Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship. You 'll go above and beyond our minimum requirements if you. Have at least five years of relevant experience. Possess demonstrated research experience represented by publications in academic conferences and journals. Have a track record of proposing, developing, and successfully executing novel research initiatives in the application of AI/ML. Have a strong understanding of state-of-the-art techniques in neural networks and reinforcement learning. Have experience working with models and simulations using C, C++, Java or other suitable programming languages (in addition to Python). About Us Why Work at APL? The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $90,00 Annually Maximum Rate 350,000 Annually Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Other Industries Defense and Space Manufacturing Referrals increase your chances of interviewing at Johns Hopkins Applied Physics Laboratory by 2x Sign in to set job alerts for “Machine Learning Researcher” roles. Laurel, MD $90, 00.00- 230,000.00 6 days ago Washington, DC 110,000.00- 132,500.00 2 months ago Washington, DC 158,400.00- 229,125.00 1 day ago Geospatial Scientist, Data Publishing and Cataloging Laurel, MD 90,000.00- 230,000.00 4 months ago Washington, DC 99,000.00- 225,000.00 1 week ago Data Scientist 3 - TS/SCI w/poly clearance required Annapolis Junction, MD 3,000.00- 5,250.00 1 week ago Washington, DC 55,800.00- 97,600.00 1 week ago Software & Data Scientist Clearance Sponsorship McLean, VA 162,019.00- 219,203.00 1 day ago Principal Associate, Data Scientist - Shopping AI Lead Data Scientist & Deputy Program Manager Managing Consultant Financial Modeler Data Scientist Artificial Intelligence / Machine Learning Research and Development Engineer Annapolis Junction, MD 76,700.00- 129,500.00 7 months ago Artificial Intelligence/Machine Learning (AI/ML) Engineer Arlington, VA 140,000.00- 200,000.00 2 weeks ago Machine Learning - Artificial Intelligence SME - ML, Innovation District of Columbia, United States 1 week ago Artificial Intelligence/Machine Learning (AI/ML) Engineer 3 Artificial Intelligence/Machine Learning (AI/ML) Engineer 3 Artificial Intelligence/Machine Learning Engineerl 3 Hanover, MD 78,000.00- 250,000.00 13 hours ago Artificial Intelligence/Machine Learning (AI/ML) Engineer Washington, DC 150,000.00- 300,000.00 1 week ago Senior Public Sector Research Scientist, Machine Learning We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Description Are you a talented scientist looking to achieve technical breakthroughs at the cutting edge of artificial intelligence (AI) and machine learning (ML)? Do you thrive in a collaborative research environment, working alongside an energetic, multidisciplinary team of scientists and engineers? Are you ready to help the US secure and maintain leadership in the development and fielding of AI/ML algorithms for non-kinetic defense systems? If so, we 're looking for someone like you to join our team at APL. We are seeking an experienced Research Scientist to make substantial technical contributions in the pursuit of advanced research and innovative applications of AI/ML. You will be joining a team of engineers and scientists who are at the forefront of APL's mission to provide innovative solutions to critical challenges. As an AI/ML Research Scientist, you will: Pursue research that advances the science and applications of AI/ML to develop novel technical capabilities poised to revolutionize 21st century national security. Design, implement, and evaluate new algorithms, models, and agents for super human decision making, reinforcement learning, and machine learning generally. Collaborate closely with the talented team of scientists and engineers in our group and with others across APL. Document and publish your scientific results in academic conferences and journals to advance our collective knowledge in this fast paced, dynamic field of study. Qualifications You meet the minimum requirements for the job if you. Hold a PhD in Computer Science, Engineering, Math, Statistics, or a related field. Have a deep understanding of, and demonstrated expertise in, technical efforts related to AI/ML: deep learning, reinforcement learning, AI Explainability, or a closely related area. Have strong, effective communication skills - both verbal and written. Have experience developing AI/ML research prototypes in code, using one or more of scikitlearn, Tensorflow, PyTorch, or similar machine learning frameworks in Python. Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship. You 'll go above and beyond our minimum requirements if you. Have at least five years of relevant experience. Possess demonstrated research experience represented by publications in academic conferences and journals. Have a track record of proposing, developing, and successfully executing novel research initiatives in the application of AI/ML. Have a strong understanding of state-of-the-art techniques in neural networks and reinforcement learning. Have experience working with models and simulations using C, C++, Java or other suitable programming languages (in addition to Python). About Us Why Work at APL? The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at . All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law.APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact . The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $90,000 Annually Maximum Rate $350,000 Annually #J-18808-Ljbffr

Description Are you a talented scientist looking to achieve technical breakthroughs at the cutting edge of artificial intelligence (AI) and machine learning (ML)? Do you thrive in a collaborative research environment, working alongside an energetic, multidisciplinary team of scientists and engineers? Are you ready to help the US secure and maintain leadership in the development and fielding of AI/ML algorithms for non-kinetic defense systems? If so, we 're looking for someone like you to join our team at APL. We are seeking an experienced Research Scientist to make substantial technical contributions in the pursuit of advanced research and innovative applications of AI/ML. You will be joining a team of engineers and scientists who are at the forefront of APL's mission to provide innovative solutions to critical challenges. As an AI/ML Research Scientist, you will: Pursue research that advances the science and applications of AI/ML to develop novel technical capabilities poised to revolutionize 21st century national security. Design, implement, and evaluate new algorithms, models, and agents for super human decision making, reinforcement learning, and machine learning generally. Collaborate closely with the talented team of scientists and engineers in our group and with others across APL. Document and publish your scientific results in academic conferences and journals to advance our collective knowledge in this fast paced, dynamic field of study. Qualifications You meet the minimum requirements for the job if you. Hold a PhD in Computer Science, Engineering, Math, Statistics, or a related field. Have a deep understanding of, and demonstrated expertise in, technical efforts related to AI/ML: deep learning, reinforcement learning, AI Explainability, or a closely related area. Have strong, effective communication skills - both verbal and written. Have experience developing AI/ML research prototypes in code, using one or more of scikitlearn, Tensorflow, PyTorch, or similar machine learning frameworks in Python. Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship. You 'll go above and beyond our minimum requirements if you. Have at least five years of relevant experience. Possess demonstrated research experience represented by publications in academic conferences and journals. Have a track record of proposing, developing, and successfully executing novel research initiatives in the application of AI/ML. Have a strong understanding of state-of-the-art techniques in neural networks and reinforcement learning. Have experience working with models and simulations using C, C++, Java or other suitable programming languages (in addition to Python). About Us Why Work at APL? The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law.APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $90,000 Annually Maximum Rate $350,000 Annually #J-18808-Ljbffr

Description Do you have demonstrated machine learning experience and want to apply that experience to solving a wide variety of complex problems in this rapidly evolving field? Do you thrive in a collaborative research environment, working alongside an energetic, multidisciplinary team of scientists and engineers? Are you ready to help the US secure and maintain leadership in the development and deployment of AI/ML algorithms for non-kinetic defense systems? If so, we 're looking for someone like you to join our team at APL. We are seeking an experienced Machine Learning Engineer who will contribute to all phases of the machine learning algorithm development and implementation. You will be joining a team of engineers and scientists who are at the forefront of APL's mission to provide innovative solutions to critical challenges. As a Machine Learning Engineer, you will: Design, implement, and evaluate advanced machine learning algorithms to solve challenging real-world planning, perception, coordination, and control problems in support of national defense. Develop software pipelines to integrate data streams, simulation environments, and intelligent decision-making algorithms. Work with technologies and concepts at the cutting edge of AI, including but not limited to: deep reinforcement learning, foundation models, large language models, convolutional/recurrent/graph neural networks, computer vision, and physics-based modeling and simulation tools. Collaborate closely with the talented team of scientists and engineers in our group and with others across APL. Engage directly with sponsors to communicate proposed concepts, solutions, and analysis. Qualifications You meet the minimum requirements for the job if you. Have a Bachelor’s degree in Mathematics, Physics, Engineering, Computer Science, or a related field. Have at least 2+ years of experience in machine learning and data science fields. Have at least one year of hands-on experience applying/developing machine learning algorithms using common libraries such as PyTorch or TensorFlow. Have strong foundational knowledge in at least two of the following: classification, clustering, deep learning, reinforcement learning, computer vision ( object detection and visual tracking), multi-agent systems, or optimization/control theory. Have demonstrated experience in working with version control software like Git. Have strong, effective communication skills - both verbal and written. Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship. You 'll go above and beyond our minimum requirements if you. Have an MS in Mathematics, Physics, Engineering, Computer Science, or a related field. Have 5+ years of experience in designing and implementing AI/ML algorithms for a variety of datasets. Have proven experience applying state-of-the-art deep learning techniques to solve distributed resource allocation problems. Have hands-on experience building computer vision pipelines for detection, tracking, segmentation, or multi-modal sensor fusion. Have experience with modeling and simulation platforms such as AFSIM, Blender, Unity, or Unreal. Are comfortable working in high performance computing environments (GPU/CPU clusters). Have proficiency in one or more of the following technology areas: multi-agent reinforcement learning, geometric deep learning, multi-modal sensor fusion, agentic AI. Have a track record of writing deployable, production-level code (Python, C/C++) for real-world applications. About Us Why Work at APL? The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at . All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law.APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact . The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $90,000 Annually Maximum Rate $230,000 Annually #J-18808-Ljbffr

Description Do you have demonstrated machine learning experience and want to apply that experience to solving a wide variety of complex problems in this rapidly evolving field? Do you thrive in a collaborative research environment, working alongside an energetic, multidisciplinary team of scientists and engineers? Are you ready to help the US secure and maintain leadership in the development and deployment of AI/ML algorithms for non-kinetic defense systems? If so, we 're looking for someone like you to join our team at APL. We are seeking an experienced Machine Learning Engineer who will contribute to all phases of the machine learning algorithm development and implementation. You will be joining a team of engineers and scientists who are at the forefront of APL's mission to provide innovative solutions to critical challenges. As a Machine Learning Engineer, you will: Design, implement, and evaluate advanced machine learning algorithms to solve challenging real-world planning, perception, coordination, and control problems in support of national defense. Develop software pipelines to integrate data streams, simulation environments, and intelligent decision-making algorithms. Work with technologies and concepts at the cutting edge of AI, including but not limited to: deep reinforcement learning, foundation models, large language models, convolutional/recurrent/graph neural networks, computer vision, and physics-based modeling and simulation tools. Collaborate closely with the talented team of scientists and engineers in our group and with others across APL. Engage directly with sponsors to communicate proposed concepts, solutions, and analysis. Qualifications You meet the minimum requirements for the job if you. Have a Bachelor's degree in Mathematics, Physics, Engineering, Computer Science, or a related field. Have at least 2+ years of experience in machine learning and data science fields. Have at least one year of hands-on experience applying/developing machine learning algorithms using common libraries such as PyTorch or TensorFlow. Have strong foundational knowledge in at least two of the following: classification, clustering, deep learning, reinforcement learning, computer vision ( object detection and visual tracking), multi-agent systems, or optimization/control theory. Have demonstrated experience in working with version control software like Git. Have strong, effective communication skills - both verbal and written. Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship. You 'll go above and beyond our minimum requirements if you. Have an MS in Mathematics, Physics, Engineering, Computer Science, or a related field. Have 5+ years of experience in designing and implementing AI/ML algorithms for a variety of datasets. Have proven experience applying state-of-the-art deep learning techniques to solve distributed resource allocation problems. Have hands-on experience building computer vision pipelines for detection, tracking, segmentation, or multi-modal sensor fusion. Have experience with modeling and simulation platforms such as AFSIM, Blender, Unity, or Unreal. Are comfortable working in high performance computing environments (GPU/CPU clusters). Have proficiency in one or more of the following technology areas: multi-agent reinforcement learning, geometric deep learning, multi-modal sensor fusion, agentic AI. Have a track record of writing deployable, production-level code (Python, C/C++) for real-world applications. About Us Why Work at APL? The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law.APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $90,000 Annually Maximum Rate $230,000 Annually #J-18808-Ljbffr

Direct message the job poster from Ascendion Connecting Skilled IT Professionals with Leading Companies About Ascendion Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next. Ascendion | Engineering to elevate life We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us: Build the coolest tech for world’s leading brands Solve complex problems – and learn new skills Experience the power of transforming digital engineering for Fortune 500 clients Master your craft with leading training programs and hands-on experience Experience a community of change makers! Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion. Job Title: Machine Learning Engineer Key Responsibilities: As a Machine Learning Engineer, you will play a pivotal role in the end-to-end lifecycle of our AI products, focusing on scalability, reliability, and performance. Your responsibilities will include: ● Building and Scaling Predictive Models: Design, develop, and scale real-time predictive models that power critical insights across various domains. This can include tackling challenges such as state-of-the-art document intelligence, patient risk stratification in healthcare, in-depth contract analysis for legal applications, construction site anomaly detection, and advanced property valuation in real estate. ● Data Pipeline & Feature Store Development: Design and build robust, automated data pipelines to ingest, transform, and analyze data at scale. You will also develop and maintain feature stores to fuel multi-tenant ML systems across highly regulated and complex domains, ensuring data quality and accessibility. ● Model Productionization: Collaborate closely with peers to productionize the use of models and workflows, possibly even custom models. This could involve parsing legal documents, assessing wildfire risk via satellite imagery, or detecting anomalies on construction sites, ensuring these models are robust, secure, and performant in production environments. Minimum Qualifications: Experience: 3-5+ years of relevant industry experience in machine learning engineering or a related field. Experience consulting directly with clients is a plus. ● Software Engineering Best Practices: Proficient in modern software engineering best practices, including git, automated testing, and Continuous Integration/Continuous Deployment (CI/CD) pipelines. ● Working in Existing Code: As consultants we often work in code we’re not familiar with. You’ll be expected to adapt to these, leaving them better than you found them, while not losing track of the core objectives. ● Data Storage: Comfortable with various data storage technologies, including SQL and NoSQL databases, object storage, file systems, streaming data solutions, and JSON data formats Location: Remote Salary Range: The salary for this position is between $120,000 – $30,000 annually. Factors which may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: (medical insurance) (dental insurance) (vision insurance) (401(k) retirement plan) (long-term disability insurance) (short-term disability insurance) (5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State) (10-15 days of paid vacation time) (6 paid holidays and 1 floating holiday per calendar year) (Ascendion Learning Management System) Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology, Analyst, and Management Industries Technology, Information and Internet, Information Services, and Data Infrastructure and Analytics Referrals increase your chances of interviewing at Ascendion by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified about new Machine Learning Engineer jobs in Baltimore, MD . 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Get AI-powered advice on this job and more exclusive features. Job Description The Machine Learning Engineer will be an essential member of Eccalon's Software Development Team, where we engineer large tailor-made systems to solve complex data-related problems from many domains. At Eccalon, the projects we support often require solutions that utilize the latest and the best from Deep Learning/Machine Learning research. We support advanced projects in both data constrained and data rich settings. Qualified candidates should be driven and be able to help craft these systems as a part of our Software Development team. Description The Machine Learning Engineer will be an essential member of Eccalon's Software Development Team, where we engineer large tailor-made systems to solve complex data-related problems from many domains. At Eccalon, the projects we support often require solutions that utilize the latest and the best from Deep Learning/Machine Learning research. We support advanced projects in both data constrained and data rich settings. Qualified candidates should be driven and be able to help craft these systems as a part of our Software Development team. Responsibilities Candidates are expected to be familiar with the motions of a classical Machine Learning workflow, and support the team with some of the following tasks: Dataset Creation. Data Exploration/Visualization. Literature Review. Data Wrangling. Implementation and Training of Appropriate Models from Literature. Characterization of Error in Models. Iterative Optimization of Models. On the engineering side of development, the Machine Learning Engineer will have the ability to be hands-on by: Creating training and preprocessing pipelines for faster experimentation. Creating algorithmic modules to interface your Models output with business requirements. Integrating their code to a larger codebase. Putting your model into production using AWS or GCP. Required Qualifications BS. in Computer Science, or related field. 3+ years of professional Software Development experience in Python. Mastery of Deep Learning fundamentals and statistics underlying Machine Learning. History of software projects putting Machine Learning systems into production in any capacity. History of software projects in general. Deep personal interest with the complete state of the art in a subfield of Machine Learning Research. Ability to work independently, and within a team. Ability to communicate effectively with non-technical stakeholders and supervisors. Prior project experience combining two or more of the following in a production setting: Unsupervised or Semi-supervised Learning. Convolutional Architectures. Autoencoders. Recurrent Architectures for Time-Series Applications. Transformer Architectures for Natural Language Processing. Generative Adversarial Architectures. Preferred Qualifications MS. or PhD in Machine Learning, or related field Extensive AWS or GCP experience putting scalable Machine Learning systems into production. Experience working with extremely high volume / high throughput data in a data lake / data warehousing / training / production environment. Has implemented cutting edge methods (e.g., a custom layer) from recent Machine Learning publications / conference proceedings and has done so in PyTorch or Tensorflow. Publications in AI/ML journals or conferences. About the Organization Eccalon provides global solutions to the most challenging technological issues of the 21st-century, and our evolving portfolio spans five major markets: Machine Learning, Cybersecurity, Aerospace & Defense, Material Sciences, Advance Manufacturing, Sports Science, Biotechnology, and Health & Life Sciences. Why Join Us? Eccalon's Executives foster a supportive work environment allowing our teams to thrive, and have a fierce dedication to innovation, security, and people. Our culture is built on inclusion, teamwork, trust, and we are committed to offering career advancement opportunities to all employees. Encouraging a healthy and balanced life, we offer an extensive benefits package to support the wellness of our employees and their families. You will be joining a team of innovators, working with cutting edge technologies, supporting mission critical projects, and making an impact. Apply today to advance your career! EOE Statement Eccalon provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Defense and Space Manufacturing #J-18808-Ljbffr