Company background Swarmbotics AI is a low-cost, swarm robotics company for industry and defense. We see a world of ubiquitous low-cost robots transforming almost all aspects of society, but we see an urgent need in the defense industry. We focus on building swarms of robots that incorporate a low-cost BOM, an autonomous stack optimized for off the shelf components, and a global planner that enables swarm capabilities for groups of robots to accomplish sophisticated tasks. Our first product is a defense application building Unmanned Ground Vehicles (UGVs), collectively termed - Attritable, Networked, Tactical Swarm (ANTS). Each UGV in ANTS is an independently-tasked, attritable robot designed for on-demand and autonomous mobility. When operating as a swarm, ANTS is capable of executing more advanced and coordinated, high-level capabilities across a battlespace. ANTS will help solve some of the DoD’s biggest problems that will save lives and increase defense capabilities. Position description Swarmbotics is seeking a highly skilled Perception/ML Engineer to spearhead development of cutting-edge off road terrain-aware navigation systems for autonomous DoD ground vehicles. This engineer will play a pivotal role in designing and implementing machine learning-based perception systems that enable our autonomous vehicles to navigate complex and unstructured off road environments. This engineer will work closely with company leadership to align autonomous navigation capabilities with the Swarmbotics product roadmap. Required qualifications <ul><li>Experience developing architecture, implementation, and performance of an ML-based perception system in support of mobile robots. Experience with off-road autonomous ground robots highly desirable. </li><li>Experience developing machine-learning models and training pipelines for terrain perception using a mixture of LIDAR and camera data. </li><li>Strong experience with Python and/or C++. </li><li>Experience with ML frameworks such as Tensorflow, Caffe, and/or PyTorch. </li><li>Strong understanding of code efficiency/performance and reliability. </li><li>Outstanding ability to write clean, fast, reliable, and highly scalable software. </li><li>BS in CS, Math, or equivalent real-world experience. </li><li>Strong organization and communication to work well across teams in a fast-paced startup environment. </li><li>Comfort working in the high-paced, fluid environment of a tech startup. </li><li>Excitement about contributing to the defense of the United States and its allies. </li><li>Ability to obtain and hold a U.S. security clearance. </li> </ul>Preferred qualifications <ul><li>Real-world experience fielding ML-based perception navigation systems on autonomous ground vehicles, such as DARPA RACER or other DoD applications. </li><li>MS, PhD in CS, Math, or equivalent industry ML experience. </li><li>Experience with robotics/sensor simulation. </li><li>Experience developing GenAI implementations in a robotic reasoning context. </li><li>Ability to relocate to Phoenix, AZ area. </li> </ul>The preceding description is not designed to be a complete list of all duties and responsibilities required for the position. Swarmbotics is an equal-opportunity employer. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, caste, creed, religion, sex, gender identity, sexual orientation, national origin, ancestry, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law. #J-18808-Ljbffr

Python, Fast API, Prompt Engg, CI/CD knowledge, hands on data extraction, transformation pipelines, HIVE

Company background Swarmbotics AI is a low-cost, swarm robotics company for industry and defense. We see a world of ubiquitous low-cost robots transforming almost all aspects of society, but we see an urgent need in the defense industry. We focus on building swarms of robots that incorporate a low-cost BOM, an autonomous stack optimized for off the shelf components, and a global planner that enables swarm capabilities for groups of robots to accomplish sophisticated tasks. Our first product is a defense application building Unmanned Ground Vehicles (UGVs), collectively termed - Attritable, Networked, Tactical Swarm (ANTS). Each UGV in ANTS is an independently-tasked, attritable robot designed for on-demand and autonomous mobility. When operating as a swarm, ANTS is capable of executing more advanced and coordinated, high-level capabilities across a battlespace. ANTS will help solve some of the DoD's biggest problems that will save lives and increase defense capabilities. Stephen Houghton and Drew Watson are the Founders and have decades of experience in self-driving cars and trucks, humanoids, and UAVs with experience from NASA, JPL, Cruise, Embark, McKinsey, Amazon, and the CIA. Position description Swarmbotics is seeking a highly skilled Perception/ML Engineer to spearhead development of cutting-edge off road terrain-aware navigation systems for autonomous DoD ground vehicles. This engineer will play a pivotal role in designing and implementing machine learning-based perception systems that enable our autonomous vehicles to navigate complex and unstructured off road environments. This engineer will work closely with company leadership to align autonomous navigation capabilities with the Swarmbotics product roadmap. Required qualifications Experience developing architecture, implementation, and performance of an ML-based perception system in support of mobile robots. Experience with off-road autonomous ground robots highly desirable.
Experience developing machine-learning models and training pipelines for terrain perception using a mixture of LIDAR and camera data.
Strong experience with Python and/or C++
Experience with ML frameworks such as Tensorflow, Caffe, and/or PyTorch.
Strong understanding of code efficiency/performance and reliability
Outstanding ability to write clean, fast, reliable, and highly scalable software
BS in CS, Math, or equivalent real-world experience
Strong organization and communication to work well across teams in a fast-paced startup environment
Comfort working in the high-paced, fluid environment of a tech startup
Excitement about contributing to the defense of the United States and its allies
Ability to obtain and hold a U.S. security clearance
Preferred qualifications Real-world experience fielding ML-based perception navigation systems on autonomous ground vehicles, such as DARPA RACER or other DoD applications.
MS, PhD in CS, Math, or equivalent industry ML experience
Experience with robotics/sensor simulation
Experience developing GenAI implementations in a robotic reasoning context
Ability to relocate to Phoenix, AZ area The preceding description is not designed to be a complete list of all duties and responsibilities required for the position. Swarmbotics is an equal-opportunity employer. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, caste, creed, religion, sex, gender identity, sexual orientation, national origin, ancestry, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law. The preceding description is not designed to be a complete list of all duties and responsibilities required for the position. Swarmbotics is an equal-opportunity employer. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, caste, creed, religion, sex, gender identity, sexual orientation, national origin, ancestry, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law.

Company background

Swarmbotics AI is a low-cost, swarm robotics company for industry and defense. We see a world of ubiquitous low-cost robots transforming almost all aspects of society, but we see an urgent need in the defense industry. We focus on building swarms of robots that incorporate a low-cost BOM, an autonomous stack optimized for off the shelf components, and a global planner that enables swarm capabilities for groups of robots to accomplish sophisticated tasks.

Our first product is a defense application building Unmanned Ground Vehicles (UGVs), collectively termed - Attritable, Networked, Tactical Swarm (ANTS). Each UGV in ANTS is an independently-tasked, attritable robot designed for on-demand and autonomous mobility. When operating as a swarm, ANTS is capable of executing more advanced and coordinated, high-level capabilities across a battlespace. ANTS will help solve some of the DoD's biggest problems that will save lives and increase defense capabilities.

Stephen Houghton and Drew Watson are the Founders and have decades of experience in self-driving cars and trucks, humanoids, and UAVs with experience from NASA, JPL, Cruise, Embark, McKinsey, Amazon, and the CIA.

Position description

Swarmbotics is seeking a highly skilled Perception/ML Engineer to spearhead development of cutting-edge off road terrain-aware navigation systems for autonomous DoD ground vehicles. This engineer will play a pivotal role in designing and implementing machine learning-based perception systems that enable our autonomous vehicles to navigate complex and unstructured off road environments. This engineer will work closely with company leadership to align autonomous navigation capabilities with the Swarmbotics product roadmap.

Required qualifications

Experience developing architecture, implementation, and performance of an ML-based perception system in support of mobile robots. Experience with off-road autonomous ground robots highly desirable.
Experience developing machine-learning models and training pipelines for terrain perception using a mixture of LIDAR and camera data.
Strong experience with Python and/or C++
Experience with ML frameworks such as Tensorflow, Caffe, and/or PyTorch.
Strong understanding of code efficiency/performance and reliability
Outstanding ability to write clean, fast, reliable, and highly scalable software
BS in CS, Math, or equivalent real-world experience
Strong organization and communication to work well across teams in a fast-paced startup environment
Comfort working in the high-paced, fluid environment of a tech startup
Excitement about contributing to the defense of the United States and its allies
Ability to obtain and hold a U.S. security clearance
Preferred qualifications    Real-world experience fielding ML-based perception navigation systems on autonomous ground vehicles, such as DARPA RACER or other DoD applications.
MS, PhD in CS, Math, or equivalent industry ML experience
Experience with robotics/sensor simulation
Experience developing GenAI implementations in a robotic reasoning context
Ability to relocate to Phoenix, AZ area

The preceding description is not designed to be a complete list of all duties and responsibilities required for the position. Swarmbotics is an equal-opportunity employer. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, caste, creed, religion, sex, gender identity, sexual orientation, national origin, ancestry, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law.

The preceding description is not designed to be a complete list of all duties and responsibilities required for the position. Swarmbotics is an equal-opportunity employer. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, caste, creed, religion, sex, gender identity, sexual orientation, national origin, ancestry, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law.

<h3>Job Description</h3><div>Job Description<div>Company backgroundSwarmbotics AI is a low-cost, swarm robotics company for industry and defense.  We see a world of ubiquitous low-cost robots transforming almost all aspects of society, but we see an urgent need in the defense industry.  We focus on building swarms of robots that incorporate a low-cost BOM, an autonomous stack optimized for off the shelf components, and a global planner that enables swarm capabilities for groups of robots to accomplish sophisticated tasks.  Our first product is a defense application building Unmanned Ground Vehicles (UGVs), collectively termed - Attritable, Networked, Tactical Swarm (ANTS).  Each UGV in ANTS is an independently-tasked, attritable robot designed for on-demand and autonomous mobility.  When operating as a swarm, ANTS is capable of executing more advanced and coordinated, high-level capabilities across a battlespace.  ANTS will help solve some of the DoD’s biggest problems that will save lives and increase defense capabilities.Stephen Houghton and Drew Watson are the Founders and have decades of experience in self-driving cars and trucks, humanoids, and UAVs with experience from NASA, JPL, Cruise, Embark, McKinsey, Amazon, and the CIA.   Position description Swarmbotics is seeking a highly skilled Perception/ML Engineer to spearhead development of cutting-edge off road terrain-aware navigation systems for autonomous DoD ground vehicles. This engineer will play a pivotal role in designing and implementing machine learning-based perception systems that enable our autonomous vehicles to navigate complex and unstructured off road environments.  This engineer will work closely with company leadership to align autonomous navigation capabilities with the Swarmbotics product roadmap. Required qualifications<ul><li>Experience developing architecture, implementation, and performance of an ML-based perception system in support of mobile robots.  Experience with off-road autonomous ground robots highly desirable.</li><li>Experience developing machine-learning models and training pipelines for terrain perception using a mixture of LIDAR and camera data.</li><li>Strong experience with Python and/or C++ </li><li>Experience with ML frameworks such as Tensorflow, Caffe, and/or PyTorch. </li><li>Strong understanding of code efficiency/performance and reliability</li><li>Outstanding ability to write clean, fast, reliable, and highly scalable software</li><li>BS in CS, Math, or equivalent real-world experience</li><li>Strong organization and communication to work well across teams in a fast-paced startup environment</li><li>Comfort working in the high-paced, fluid environment of a tech startup</li><li>Excitement about contributing to the defense of the United States and its allies</li><li>Ability to obtain and hold a U.S. security clearance</li></ul> Preferred qualifications<ul><li>Real-world experience fielding ML-based perception navigation systems on autonomous ground vehicles, such as DARPA RACER or other DoD applications.</li><li>MS, PhD in CS, Math, or equivalent industry ML experience</li><li>Experience with robotics/sensor simulation</li><li>Experience developing GenAI implementations in a robotic reasoning context</li><li>Ability to relocate to Phoenix, AZ area</li></ul><div> The preceding description is not designed to be a complete list of all duties and responsibilities required for the position.  Swarmbotics is an equal-opportunity employer. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, caste, creed, religion, sex, gender identity, sexual orientation, national origin, ancestry, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law.</div>The preceding description is not designed to be a complete list of all duties and responsibilities required for the position. Swarmbotics is an equal-opportunity employer. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, caste, creed, religion, sex, gender identity, sexual orientation, national origin, ancestry, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law.Powered by JazzHRZ1OV4muk5C</div></div>

Company background Swarmbotics AI is a low-cost, swarm robotics company for industry and defense. We see a world of ubiquitous low-cost robots transforming almost all aspects of society, but we see an urgent need in the defense industry. We focus on building swarms of robots that incorporate a low-cost BOM, an autonomous stack optimized for off the shelf components, and a global planner that enables swarm capabilities for groups of robots to accomplish sophisticated tasks. Our first product is a defense application building Unmanned Ground Vehicles (UGVs), collectively termed - Attritable, Networked, Tactical Swarm (ANTS). Each UGV in ANTS is an independently-tasked, attritable robot designed for on-demand and autonomous mobility. When operating as a swarm, ANTS is capable of executing more advanced and coordinated, high-level capabilities across a battlespace. ANTS will help solve some of the DoD's biggest problems that will save lives and increase defense capabilities. Stephen Houghton and Drew Watson are the Founders and have decades of experience in self-driving cars and trucks, humanoids, and UAVs with experience from NASA, JPL, Cruise, Embark, McKinsey, Amazon, and the CIA. Position description Swarmbotics is seeking a highly skilled Perception/ML Engineer to spearhead development of cutting-edge off road terrain-aware navigation systems for autonomous DoD ground vehicles. This engineer will play a pivotal role in designing and implementing machine learning-based perception systems that enable our autonomous vehicles to navigate complex and unstructured off road environments. This engineer will work closely with company leadership to align autonomous navigation capabilities with the Swarmbotics product roadmap. Required qualifications <ul> <li>Experience developing architecture, implementation, and performance of an ML-based perception system in support of mobile robots. Experience with off-road autonomous ground robots highly desirable. </li><li>Experience developing machine-learning models and training pipelines for terrain perception using a mixture of LIDAR and camera data. </li><li>Strong experience with Python and/or C++ </li> <li>Experience with ML frameworks such as Tensorflow, Caffe, and/or PyTorch. </li> <li>Strong understanding of code efficiency/performance and reliability </li><li>Outstanding ability to write clean, fast, reliable, and highly scalable software </li><li>BS in CS, Math, or equivalent real-world experience </li><li>Strong organization and communication to work well across teams in a fast-paced startup environment </li><li>Comfort working in the high-paced, fluid environment of a tech startup </li><li>Excitement about contributing to the defense of the United States and its allies </li><li>Ability to obtain and hold a U.S. security clearance </li></ul>Preferred qualifications <ul> <li>Real-world experience fielding ML-based perception navigation systems on autonomous ground vehicles, such as DARPA RACER or other DoD applications. </li><li>MS, PhD in CS, Math, or equivalent industry ML experience </li><li>Experience with robotics/sensor simulation </li><li>Experience developing GenAI implementations in a robotic reasoning context </li><li>Ability to relocate to Phoenix, AZ area </li></ul> The preceding description is not designed to be a complete list of all duties and responsibilities required for the position. Swarmbotics is an equal-opportunity employer. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, caste, creed, religion, sex, gender identity, sexual orientation, national origin, ancestry, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law. The preceding description is not designed to be a complete list of all duties and responsibilities required for the position. Swarmbotics is an equal-opportunity employer. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, caste, creed, religion, sex, gender identity, sexual orientation, national origin, ancestry, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law.

Company DescriptionExperian is the world's leading global information services company. During life's big moments – from buying a home or a car, to sending a child to college, to growing a business by connecting with new customers – we empower consumers and our clients to manage their data with confidence. We help individuals to take financial control and access financial services, businesses to make smarter decisions and thrive, lenders to lend more responsibly, and organizations to prevent identity fraud and crime.We're focused on powering opportunities; that's why our Experian Summer Internship Program offers students nationwide a chance to gain hands-on work experience by applying their formal education to solve meaningful projects. During the Summer Internship Program, you will be immersed in Experian's 'People First' philosophy, experiencing our commitment to developing its people.Join us and explore your potential in one of the Top 100 Summer Internship Programs!Job DescriptionThe Machine Learning Engineer Intern will work under the Sr. Manager of Data Science Product Enablement/Adaption. You will support GenAI projects, including developing AI use cases.Responsibilities:<ul><li>Develop tools for operational efficiency and monitoring</li><li>Improve automation and test coverage</li><li>Analyze cost efficiency for infrastructure</li><li>Augment project modules</li></ul>Qualifications<ul><li>Currently enrolled in a Bachelor's degree program or above in math, CS, or related field</li><li>Returning to school in Fall 2025 to complete degree</li><li>GenAI experience preferred, experience in programming languages such as Java, Python, C++</li></ul>Perks:<ul><li>Fully remote</li><li>Volunteer Time Off</li><li>Great compensation</li><li>Flexible work schedule</li><li>Eligible for 401(k) participation in 90 days</li></ul>Additional InformationOur uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

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Machine Learning Engineer Jobs in Scottsdale, AZ

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