Company Overview

ThreeV Technologies, Inc. is an early-stage venture backed startup. We’re developing an Inspection Insight Automation Platform to revolutionize asset-heavy sectors like Power & Utilities, Renewables, Public Infrastructure, and Aviation. Our goal is to become the B2B Perplexity AI for the physical world. The ThreeV platform uses frontier AI techniques like customized Large Language Models as well as applying computer vision to drastically improve the end-to-end inspection process. This allows customers to cut Operations & Maintenance costs, streamline inspection decisions, and improve data accuracy to prevent asset failures. Global high-profile safety incidents over recent years underscore the urgent need for our platform, making it not just innovative but essential.

Job Summary

We are looking for a highly skilled and innovative Computer Vision Engineer to join our growing team. In this role, you will be leading our Data Science team and working very closely with the executive team in building out our model library, as well as our LLM and RAG architecture decisions. You will be at the forefront of cutting-edge technology, working with customer data to train computer vision algorithms on potentially lifesaving use cases that have very important real-world implications. Your expertise will be instrumental in advancing our computer vision platform and helping deliver maximum value to our customers.

Key Responsibilities

• As the Lead Data Scientist, Computer Vision, you will have a critical role in selecting the architecture for, training, and deploying computer vision models that will drive real world results reducing risk and improving operational efficiency for our customers

• Computer Vision Algorithm Development: Design, develop, and optimize computer vision algorithms for various applications, including object detection, image segmentation, and classification.

• Deep Learning: Apply deep learning techniques, including convolutional neural networks (CNNs) and Vision Transformers to solve complex computer vision problems.

• Data Collection and Annotation: Oversee data collection efforts and collaborate with our labeling teams to lead annotation and help ensure correct preprocessing and augmentation steps for obtained datasets.

• Work closely with our customer and platform teams to ensure the development of the most performant and high value models.

• Model Training and Evaluation: Train and fine-tune computer vision models and establish robust evaluation methodologies to assess their performance depending on the type of model.

• Integration: Collaborate with full stack engineers and cross-functional teams to integrate and deploy computer vision models into different workflows for our customers.

• Optimization: Optimize and maintain computer vision models for real-time and resource-constrained environments as needed.

• Deployment: Deploy computer vision systems into production, ensuring scalability and reliability using State of the art MLOps.

• Lead: Lead a team of Junior Data Scientist, ML engineers to acheive success together for our customers.

Required Qualifications

• Master’s or PhD degree in computer science, computer engineering, electrical engineering or a related field.

• At least 5+ years of Post PhD, or 7+ years post Masters industry experience.

• Programming Skills: High Proficiency in programming languages such as Python and experience with computer vision libraries (e.g., OpenCV, TensorFlow, PyTorch).

• Deep Learning: Strong expertise in deep learning frameworks and architectures, including experience with CNNs, RNNs, VAEs, Transformers and GANs.

• Data Handling: Excellent understanding of and experience with data handling, including data preprocessing, augmentation and annotation for computer vision tasks. You will need to work with a labeling team to ensure correct labeling and annotations.

• Model Deployment: Experience with deploying computer vision systems in production environments.

• Excellent Cloud ML skills, should be able to work on ML offerings of common cloud providers. Have familiarity with Cloud architectures and must having deployed models in Cloud environments before.

• Excellent knowledge of common deployment techniques such as Containerization, Kubernetes, ML Flow, load scaling etc.

• Knowledge of computer vision best practices and the ability to troubleshoot and fine-tune computer vision models for performance and accuracy.

• Experience having led a team of at least 2+ other data scientists or machine learning engineers.

• Excellent problem-solving and analytical skills, with a track record of delivering frontier technology solutions in the field of computer vision.

• Willingness and ability to collaborate with cross-functional teams and to learn and adapt to new tools and techniques.

Preferred Qualifications

• Experience and high interest in Large Vision or Large Language Models as well as experience having worked with RAG (Retrieval Augmented Generation) technology.

Experience

• A minimum of 5 years of Post PhD, or 7 years of Post Masters, startup or enterprise commercial industry experience in computer vision development and deployment.

Work Authorization

• Must be authorized to work in the US.

Education

• Master’s degree at a minimum and preferably PhD in computer science, electrical engineering or computer vision related field.

Competencies

• Communication: Ability to communicate clearly and effectively complex technical concepts with internal and external stakeholders.

• Decision Making: Ability to make critical technical architecture decisions, working closely with executive teams and leadership.

• Team Mentorship: Mentor and guide a team of Junior Data scientists, ML engineers.

• Hands On Keyboard: Actively participate in coding and have direct involvement with platform development, not just theory.

Work Environment

ThreeV.ai is a remote-first company, with our primary base in Los Angeles, CA. We are supportive of remote work, providing flexibility to our team to work from wherever they prefer. We also believe in the value of in-person connections. To facilitate this, we hold multiple all-hands team offsite meetings each year, fostering collaboration and team cohesion. Our work environment is a balance between remote flexibility and in-person interaction for moments that matter, aiming to create a productive and connected team.

Company Culture and Values

• Mission: We save lives using computer vision. We love our mission, our customers, and our team. We believe that great people seek intrinsically rewarding work. We look for individuals who take pride in the mission and care about social impact, thrive on collaboration and helping others, solve difficult problems, and understand the big-picture challenges our customers face.

• Outcomes over Activity: What counts is building a great product and providing exceptional solutions and services to customers. To accomplish that, we want people to have autonomy. We seek individuals who are self-driven and solve problems because they can. We believe the best people can self-manage and organize themselves with autonomy. Additionally, to create repeatability and economic advantage, we embrace process automation and optimization. Remove busy work wherever possible. Get stuff done.

• Transparency: Direct and open feedback, both upwards and downwards, regardless of level, is a core value. We want leaders who lead without a title and feel comfortable reaching out to anyone in the company to get what they need done. We strive to maintain as flat an organization as possible with the goal of meeting our mission.

• Integrity: Honest and ethical behavior, always and without exception.

• Mastery: Passion for your current and future craft. Mastery of what is happening in your field and what you think will happen. Learning your craft never ends, and we want people who are constantly pushing their own field forward. We will invest in you to continue mastering your craft and share your skills with the world.

• Extra-Mile: Be willing to go the extra mile for the mission, our customers, and our team. We value balance in work and life and respect your boundaries during your time off. We acknowledge that you may have passions outside of work, and we support you in pursuing those passions. It's a difficult balance to strike, but we strive to achieve it.

Application Process

• Initial Screening Interview

• Technical Take Home Test

• Technical Interview

• Team Interview

• Final Interview

Equal Opportunity Employer Statement

ThreeV is an equal opportunity employer. We are committed to creating an inclusive and diverse workplace, and we encourage applications from candidates of all backgrounds. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. At ThreeV, we value the strengths and perspectives that a diverse workforce brings to our organization, and we believe that diversity enhances our ability to serve our clients and achieve our mission. All qualified applicants will receive consideration for employment without regard to any of the characteristics mentioned above. We are dedicated to providing reasonable accommodations for individuals with disabilities in our application process and during employment. If you need assistance or an accommodation due to a disability, please let us know. We look forward to considering your application and welcoming you to our team.