Customer Engineer, Computer Vision
Mexico City, MX or MX Remote
Scale AI
Trusted by world class companies, Scale delivers high quality training data for AI applications such as self-driving cars, mapping, AR/VR, robotics, and more.Are you ready to ignite your career and embark on an exhilarating journey at the cutting edge of ML-enabled technologies? At Scale, we are pushing the boundaries of innovation in industries such as autonomous driving, drones, robotics, and AV/AR. As we collaborate with the world's leading self-driving car and robotics ML teams, we are revolutionizing the way data is annotated across Lidar, Camera, and Radar modalities.
As our customer base expands exponentially, we are seeking passionate and dynamic Field Engineers who will be the driving force behind our computer vision and perception products. In this unique role, you will have the incredible opportunity to make a tangible impact on millions of dollars in revenue while nurturing and solidifying lifelong relationships with the world's most innovative companies.
Our Field Engineers are dedicated to ensuring seamless and optimized customer experiences with Scale's groundbreaking technology. By partnering closely with our Customer Success and Operations teams, you will guide existing customers in building robust, production-grade data pipelines. Your expertise in our products, codebase, and general technical knowledge in web development, APIs, and handling large volumes of data will allow you to create the necessary tools and documentation for scalable growth.
As a Field Engineer, you will be a master relationship-builder who always brings a positive and collaborative attitude to the table. The ideal candidate is a software engineering generalist who thrives on partnering with Scale's Operations teams, rapidly developing solutions, and enhancing our pipelines in close collaboration with the Product teams.
This exciting role lies at the intersection of customer delivery and engineering, providing you with a wealth of experience and stimulating both sides of your brain. If you're ready to embark on a thrilling journey where you can make a real difference in the world of ML-enabled technology, apply now and join the Scale family!
You will:
- Craft and engineer end-to-end data integrations, seamlessly synchronizing customer data with Scale's cutting-edge platform, and vice versa.
- Collaborate with our customer’s engineering and Scale Operations teams to fine-tune data pipelines, masterfully designing API endpoints and input/output schemas for optimal performance.
- Innovate, design, and maintain playbooks, internal tools, Scale's documentation, and SDKs that empower customers to achieve long-term success with ease and efficiency.
- Join forces with our Customer Success and Operations teams to tackle and eliminate any technical obstacles customers may encounter, taking ownership of technical escalations and ensuring smooth delivery.
- Work closely with Project and Operation Managers to uncover customer-specific feature requests, bringing their visions to life.
- Hone your technical domain expertise in the exciting realms of Computer Vision, perception, autonomous vehicles, and API integrations, and become an industry trailblazer.
Ideally you'd have:
- Excellent (B2+/C1) written and spoken English - enough to communicate effectively with native English speakers and customers and understand technical concepts in English
- Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way.
- Prior technical hands-on experience working with internal and external stakeholders in a post-sales capacity to realize business goals.
- Prior experience developing with JavaScript/ Typescript, Python, or other modern software languages.
- Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields (STEM).
- Strong project management and interpersonal skills.
- High level of comfort communicating effectively across internal and external organizations.
- Intellectual curiosity, empathy, and ability to operate with high velocity.
About Us:
At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how machine learning can build innovative products. Our products provide access to human-powered data for hundreds of use cases and are used by industry leaders such as Open AI, Lyft, Meta, GM, Samsung, Airbnb, NVIDIA, and many more. We’ve recently raised $325 million in Series E funding at a valuation of $7B+ and are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Autonomous Driving Computer Science Computer Vision Data pipelines Drones Engineering JavaScript Lidar Machine Learning Mathematics Pipelines Python Radar Robotics STEM TypeScript
Perks/benefits: Career development
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