Remote Jobs at Roboflow

Candidates should have 6+ years of engineering experience and 3+ years of DevRel related experience, with a preference for B2B, AI, cloud, and/or developer tools. A proven track record of shipping software projects with fast adoption and viral growth is essential, along with a technical background that allows for rapid building and learning. The ideal candidate is a self-starter capable of analyzing ambiguous situations, developing plans, executing, and iterating, with the ability to operate wit…

Candidates should possess a founder mindset with a track record of improving processes and a bias towards action, ownership, and accountability. Experience with AI products and computer vision is preferred, and prior use of Roboflow tools or contributions to open-source projects are highly valued. A background in Engineering, Product, Design, Sales, or Marketing is beneficial, and the ability to define a role around personal strengths is key.

Candidates must have 3+ years of closing experience and experience managing end-to-end SaaS sales cycles at a previous startup. A track record of success in consistently building pipeline and hitting their number is required. Previous experience in developer tools, cloud infrastructure, machine learning, and/or business intelligence tooling is preferred. Strong presentation, listening, organization, and contact management skills are essential, along with a hands-on approach to learning technical…

Candidates should have 4-5 years of professional experience in Python, with at least 3 years focused on machine learning and production deployment of ML models. Strong hands-on skills with PyTorch, TensorRT, and Python are required, along with proficiency in JavaScript. Familiarity with object detection, classification, segmentation, YOLO, VLMs, and SAM is also necessary. Experience working in startups or high-ownership roles, and comfort with autonomy, ambiguity, and rapidly shifting priorities…

Candidates should be technical generalists with a strong interest in learning new technologies and a bias for action. Experience with JavaScript and Node.js is a plus, and familiarity with Python, Firebase, GCS, AWS, and Docker is beneficial. Enthusiasm for sharing new knowledge and experiences to help level up the team is also desired.

Candidates should possess a strong foundation in Linux and be comfortable working with JavaScript and Node.js, which form the core of the existing codebase. Experience with Python, Firebase, GCS, AWS, Docker, and browser-based development including Tensorflow JS is beneficial, though a willingness to learn new technologies is essential. The ideal candidate will have a founder mindset, value ownership and accountability, and be excited to share new knowledge.

Candidates should have hands-on hardware experience with embedded devices like NVIDIA Jetson, industrial cameras, or similar hardware in field deployments. Familiarity with computer vision inference pipelines, such as Roboflow, is also required. The role demands a self-starter attitude with the ability to operate autonomously in the field and determine when to escalate issues.

Candidates should have over 5 years of hands-on infrastructure or DevOps engineering experience, preferably in fast-paced startup environments. Strong experience with AWS or GCP, Kubernetes in production, Docker, and Helm is required. Proficiency with Terraform, scripting (e.g., Bash), and Python for automation is necessary. Comfort in reading and contributing to application code (Node.js, Python) and familiarity with security best practices and compliance standards (SOC 2, HIPAA, etc.) in cloud…

Candidates should possess expertise in computer vision, machine learning, and Python programming. A user-facing mindset and an engineering background are essential for success in this role. Experience in project management, deployment, and adoption of technical solutions is also required.

Candidates should have 3-4+ years of hands-on machine learning research experience, with a PhD preferred but not required if equivalent industry experience is demonstrated. Expertise in PyTorch, modern vision architectures like YOLO, SAM, and VLMs, and training pipelines is essential. Deep knowledge of object detection, instance segmentation, keypoint detection, SAM, and VLMs is required, along with a track record of meaningful research contributions demonstrated through peer-reviewed publicatio…

Candidates should possess 1-2 years of experience in sales, software, or manufacturing, and ideally have previous startup or entrepreneurial experience. Excellent verbal and written communication skills, a friendly and outgoing personality, dependability, adaptability, and good phone etiquette are essential. A self-motivated and driven individual with a sincere sense of competition is desired.

Candidates should have experience in solutions architecture, technical sales engineering, or a related role, preferably in a computer vision, AI, or IoT-focused company. Industry experience working directly in or with manufacturing, automotive, logistics, food processing, or retail is preferred. Expertise in designing edge-based solutions and understanding of edge computing constraints is essential. Strong knowledge of computer vision, machine learning, and associated technologies is required, a…

Candidates should have experience as a Support Engineer or a Developer with a preference for interrupt-driven work, or experience in a technical field role. A strong desire to find answers to questions, learn new technologies, and communicate knowledge to others is essential. Empathy for customer needs and strong remote communication skills are required, along with an understanding of how individual contributions impact the team. Previous experience using Roboflow tools or contributing to open-s…

Candidates should have 4+ years of high-volume sales experience, with at least 2 years of closing experience in end-to-end SaaS sales cycles, preferably at a startup. Previous experience selling developer tools, cloud infrastructure, machine learning, or data tooling is ideal, along with a technical background or strong curiosity. The ability to build relationships and manage a fast-moving pipeline is essential.

- 4+ years of full-cycle recruiting experience, ideally including high-growth startup or SaaS experience - Deep familiarity with go-to-market roles and compensation models (AE, CSM, Marketing, RevOps, Partnerships, etc.) - Proven ability to build and maintain high-quality pipelines and close top candidates - Experience managing ATS workflows (Ashby, Greenhouse, Lever, etc.) - Excellent written and verbal communication; ability to sell a vision as well as a role - Bias toward speed and clarity — …