Staff Computer Vision/AI Engineer

About SimpliSafe

We’re a high-tech home security company that’s passionate about protecting the life you’ve built and our mission of keeping Every Home Secure. And we’ve created a culture here that cares just as deeply about the career you’re building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don’t just want you to work here. We want you to grow and thrive here. 

We’re embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday and Wednesday, working together in person and choose where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done. 

Why are we hiring?

Well, we’re growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure.

What You'll Do

We are a growing start-up team of engineers, designers, researchers, and product folks inside of SimpliSafe based in downtown Boston. Our team works autonomously using state-of-the-art advances in technology to solve real-world problems that transform our security products and monitoring services. 

We are seeking a highly skilled and motivated Staff-level Computer Vision and Artificial Intelligence Engineer to join our dynamic team. As a key member of our organization, you will be responsible for leveraging cutting-edge computer vision and machine learning techniques to develop and implement innovative solutions across various domains. You will play a crucial role in designing and implementing data-driven algorithms and models to extract meaningful insights from complex visual data, with the goal of advancing our organization's capabilities and driving business growth. 

Primary Responsibilities Include

• Develop and implement computer vision and machine learning algorithms and models to analyze and extract valuable information from large-scale visual data. 
• Design and execute experiments to evaluate and validate the performance of developed algorithms and models. 
• Collaborate closely with cross-functional teams, including software engineers and domain experts, to identify business requirements and translate them into actionable solutions. 
• Stay updated with the latest advancements in computer vision and machine learning research and apply them to solve real-world problems. 
• Preprocess and clean large-scale visual datasets to ensure data quality and suitability for training and testing models. 
• Explore and utilize various deep learning frameworks and libraries for model development and deployment. 
• Optimize and fine-tune models for performance, scalability, and efficiency. 
• Collaborate with data engineers to design and maintain data pipelines and infrastructure necessary for efficient data processing. 
• Communicate and present findings, methodologies, and results to both technical and non-technical stakeholders effectively. 

What You'll Bring

• Degree in Computer Science, Electrical Engineering, or a related field, with a focus on computer vision, machine learning, or image processing.
• Solid understanding of computer vision principles, image processing techniques, and deep learning architectures. 
• Strong programming skills in Python, along with proficiency in relevant libraries and frameworks such as TensorFlow, PyTorch, or OpenCV. 
• Proven experience in developing and implementing computer vision and machine learning algorithms and models. 
• Familiarity with large-scale data preprocessing, including data cleaning, augmentation, and normalization techniques. 
• Experience with cloud platforms (such as AWS, Azure, or GCP) and distributed computing frameworks is a plus. 
• Strong analytical and problem-solving skills with a keen eye for detail. 
• Excellent communication and presentation skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders. 
• Ability to work independently and collaboratively in a fast-paced and rapidly changing environment. 
• Demonstrated ability to stay updated with the latest advancements in computer vision and machine learning research. 

If you are a passionate and driven individual with a strong background in computer vision and machine learning, we encourage you to apply. Join our team and be part of a cutting-edge organization at the forefront of innovation in computer vision and machine learning.

What Values You’ll Share

• Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them.
• Aim High - Always challenging ourselves and others to raise the bar.
• No Ego - Maintaining a “no job too small” attitude, and an open, inclusive and humble style.
• One Team - Taking a highly collaborative approach to achieving success.
• Lift As We Climb - Investing in developing others and helping others around us succeed.
• Lean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment.

We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact careers@simplisafe.com.