Software Engineer II, AI

RapidSOS Inc.

Job Overview

Location

Remote

Job Type

Full-time

Full Job Description

📋 Description

• Join RapidSOS as a Software Engineer II, AI, and become a pivotal member of our mission to build a safer, stronger future through innovative technology. In this exciting phase of growth, you will contribute to a dynamic, ambitious, and inclusive team dedicated to saving lives.
• As a Software Engineer II, AI, you will be instrumental in developing and deploying cutting-edge AI and machine learning models that power our life-saving platform. You will work on the full lifecycle of AI development, from ideation and data exploration to model training, evaluation, and seamless integration into our production systems.
• Your primary focus will be on designing, building, and optimizing machine learning pipelines and algorithms that enhance our ability to process vast amounts of real-time data, identify critical patterns, and deliver actionable insights to emergency responders and public safety agencies.
• You will collaborate closely with cross-functional teams, including product managers, data scientists, and other software engineers, to translate complex business requirements into robust and scalable AI solutions.
• This role offers a unique opportunity to make a tangible impact. The AI solutions you develop will directly influence how quickly and effectively emergency services can respond to critical situations, potentially saving lives and improving outcomes for individuals in need.
• You will be responsible for researching and implementing state-of-the-art AI techniques, staying abreast of the latest advancements in the field, and evaluating their applicability to our unique challenges.
• Key responsibilities include developing and maintaining machine learning infrastructure, ensuring the reliability, scalability, and performance of our AI services.
• You will also play a crucial role in data preprocessing, feature engineering, and model validation to ensure the accuracy and effectiveness of our AI models.
• The ideal candidate will have a strong understanding of software engineering best practices, including version control, testing, and CI/CD, and will apply these principles to AI development workflows.
• You will contribute to architectural discussions, helping to shape the future of our AI capabilities and ensuring our systems are built for long-term success.
• This position requires a proactive approach to problem-solving, the ability to work independently, and a passion for continuous learning and improvement.
• You will be involved in deploying models into production environments, monitoring their performance, and iterating based on feedback and new data.
• The opportunity exists to mentor junior engineers and share your expertise, fostering a culture of knowledge sharing and technical excellence within the team.
• You will work with diverse datasets, including geospatial data, sensor data, and text-based information, to train models that can predict events, optimize resource allocation, and enhance situational awareness.
• Your contributions will directly support our mission by improving the speed and accuracy of emergency response, enabling faster dispatch of appropriate resources, and providing critical information to first responders in high-pressure situations.
• We encourage innovation and provide an environment where you can experiment with new technologies and approaches to solve challenging problems.
• You will be part of a collaborative environment where your ideas are valued and you have the autonomy to drive significant technical initiatives.
• The role involves working with cloud platforms (e.g., AWS, GCP, Azure) for model training, deployment, and data storage, leveraging managed services where appropriate.
• You will contribute to the development of APIs and services that expose AI model functionalities to other parts of the RapidSOS platform.
• Ensuring the ethical and responsible development and deployment of AI is paramount, and you will be expected to adhere to best practices in fairness, transparency, and accountability.
• This is a remote position, offering flexibility and the chance to work with a globally distributed team.
• You will have the opportunity to work on challenging and impactful projects that have a real-world effect on public safety and emergency response.
• We are looking for individuals who are passionate about leveraging technology for social good and are eager to contribute to a fast-paced, mission-driven organization.
• Your work will involve optimizing existing AI models for efficiency and accuracy, as well as developing new models from scratch to address emerging needs.
• You will be involved in the entire machine learning lifecycle, from data ingestion and cleaning to model deployment and ongoing maintenance.
• This role is perfect for someone who thrives in a collaborative environment, enjoys tackling complex technical challenges, and is motivated by the prospect of making a significant difference.

🎯 Requirements

• Proven experience in developing and deploying machine learning models, with a strong understanding of various ML algorithms and techniques.
• Proficiency in programming languages commonly used in AI/ML, such as Python, and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of software engineering principles, including data structures, algorithms, software design, and testing.
• Experience with cloud computing platforms (AWS, GCP, or Azure) and their ML services.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience.

🏖️ Benefits

• Competitive salary and equity package.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holidays.
• Remote work flexibility.
• Opportunity to work on impactful technology that saves lives.

Skills & Technologies

Remote

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RapidSOS Inc.

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About RapidSOS Inc.

RapidSOS is a technology company that provides a life-saving data platform for emergency response. Their platform securely transmits critical data, such as location, device information, and health data, from mobile devices and connected devices to emergency dispatchers and first responders. This enables faster and more informed emergency response, improving outcomes for individuals in crisis. RapidSOS partners with device manufacturers, app developers, and public safety agencies to integrate their technology into the emergency ecosystem. They operate in the public safety technology and emergency services industry, aiming to revolutionize how emergencies are handled through data-driven solutions.

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