Head of Computer Vision Models

Who We Are 

Founded in 2016, Rhombus is on a mission to make the world a safer place with our centralized platform that combines intelligent cameras, sensors, and AI analytics to help organizations improve safety and operations at scale. We have a solid product-market fit, customers love us, and our solution makes a profound impact and difference in the world.  

Rhombus was created by industry veterans and is also backed by incredible investors who believe in transforming the world of physical security with enterprise-grade technology that's accessible to any organization.   

Who You Are 

Here at Rhombus, everyone plays a critical role in achieving our mission to make the world safer with simple, smart, and powerful physical security solutions. No matter what team you’re on, the work you do here makes a positive impact across the globe. 

Rhombus is looking for a Head of Computer Vision Models who will be a combination lead and contributor, starting off as sole contributor but with an opportunity to build out a team. In addition, they will be responsible for developing methods for evaluating and improving foundation models and refining the data used in training them, applying data centric AI approaches. 

• Determine where to get the images or videos, such as from public datasets, internal databases, cameras, or web scraping. 
• Configure and deploy devices or software to capture new data if existing data is insufficient. 
• Conduct detailed failure analysis on large GenAI models and machine learning models in different aspects like Operational/Ethical/Security & Privacy 
• Remove duplicates, corrupt files, and irrelevant data. 
• Structure the data into a format that is easy to work with, typically categorizing and storing it in directories. 
• Prototype novel evaluation and benchmark methods from foundation model literature research  
• Develop tools for analyzing and visualizing data  
• Design and implement experiments (DOE) for engineering studies and large-scale user studies and analyze results 

• BS and a minimum of 5 years relevant industry experience 
• Work experience in statistical data analysis and machine learning techniques 
• Familiar with in-depth analysis and evaluation of machine learning model 
• Background with analytical tools such as Jupyter, Pandas, NumPy, Matplotlib 
• Familiarity with various foundation models in GenAI, like VAEs, Transformers, Diffusion Models, NeRF, CLIP, etc. 
• Expertise of video analysis algorithms or subjective/objective video quality algorithms, and pioneering technologies 
• Expertise in photography, videography, or image science and a passion for learning more 
• Experience in training models using frameworks like PyTorch, TensorFlow, Jax, etc. 
• Proficient in distributed systems and a good understanding of operating systems 
• Expert in at least one scripting language, preferably Python 
• Self-motivated and curious with demonstrated creative and critical thinking capabilities and a highly developed aim to improve how things work 
• Proficient verbal and written communication skills, along with strong collaborative abilities 

This is an onsite position based in Sacramento, CA.

Candidates must be able to commute to the office 3 times a week. 

Compensation 

Base Salary: $140,000 - $170,000

Additional forms of compensation, depending on the role, include sales incentives, discretionary bonuses, and equity in the company. Individual pay is determined based on the candidate's primary work/hiring location and additional factors, such as skills and experience, and relevant education, certifications, or training. Further details about compensation for the role can be discussed during the interview process.  

Benefits 

Competitive Salary & Equity Options  

Flexible Schedule & Paid-Time Off  

Excellent Healthcare Coverage 

Generous Family Leave Policy 

WFH & Workspace Supplies 

Career Growth & Professional Development 

Dog-Friendly Office & Pet Insurance

What We Value 

Customers Come First: We're obsessed with improving our users' lives and constantly question how we can improve upon what already exists. 

One Team: Innovating in the physical security industry can't be accomplished by just a single person, which is why we collaborate with exceptional individuals who inspire us to be our best.  

Think Greater: We believe the best ideas can come from anywhere. We strive to create an open environment where individuals can contribute and make an impact. 

Act with Integrity: We believe honest communication is key to success. We conduct business the way it should be - with high ethical standards and to always do what's right. 

Rhombus is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace that reflects the communities we serve. We encourage applicants from all backgrounds and experiences to apply. We actively promote diversity, equity, and inclusion in our hiring practices and throughout our organization. 

Build a Safer Future with Us!