Remote Jobs at Twelve Labs

Candidates must have over 5 years of experience in large-scale distributed data processing systems or building machine learning infrastructure, along with a total of at least 7 years of software development experience. A fundamental understanding of machine learning concepts is required, and proficiency in Python is essential. Candidates should also possess strong communication skills to coordinate and engage with various stakeholders.

Candidates should have 6+ years of industry experience and a passion for both ML modeling and ML/AI systems software engineering. Strong expertise in Python is required, along with considerable prior work history with at least one statically typed language, preferably Golang. An applied bent is essential as this role is in an applied science and engineering group.

Candidates must have over 5 years of experience in developing machine learning models and systems. A solid understanding of multimodal models is required, along with a keen interest in solving practical implementation challenges. Strong communication skills to coordinate and engage with various stakeholders are essential.

Candidates should have a PhD in a related field or a Master's degree with 3+ years of industry experience. Research experience and interest in fields such as Video Understanding, Multimodal Language Modeling, or similar areas is required. The ability to independently lead research projects and experience in developing large-scale commercial ML products is essential. Candidates should also have experience in large-scale model training and acceleration, published research in top-tier AI conference…

Candidates should have at least 5 years of backend engineering experience with a proven track record of designing and delivering scalable web services and APIs. Advanced proficiency in designing and implementing RESTful APIs adhering to OpenAPI/Swagger specifications is required, along with experience in modern frameworks such as Go’s Gin or Echo, or Spring Boot. Deep expertise in service-oriented architecture, microservices, and distributed systems is essential, as well as strong knowledge of s…

Candidates should have at least 5 years of backend engineering experience with a proven track record of designing and delivering scalable web services and APIs. Advanced proficiency in designing and implementing RESTful APIs adhering to OpenAPI specifications is required, along with experience in modern frameworks such as Go's Gin or Echo, Spring Boot, or similar. Deep expertise in service-oriented architecture, microservices, and distributed systems is necessary, as well as strong knowledge of …

Candidates should have at least five years of experience in frontend development within a fast-paced startup environment. Proficiency in frameworks and technologies such as React, Next.js, react-query, and Typescript is required. Strong analytical and problem-solving skills, along with the ability to adapt to changing priorities, are essential.

Candidates should have at least 6 years of relevant industry experience. They must have designed production services using Python, Postgres, FastAPI, SQLAlchemy, and Pydantic. Demonstrated experience as a technical lead to deliver projects end to end is required, along with exposure to machine learning models in production environments, including deployment, serving, lifecycle management, and monitoring.

Candidates should have 7+ years of experience as a Solutions Architect, Pre-Sales Engineer, or in a similar technical client-facing role. A strong technical background and experience with API integration are essential, along with excellent communication and customer engagement skills.

Candidates should possess a Bachelor’s degree in Computer Science, Engineering, or a related technical field, and ideally have 5+ years of experience in a solutions architect role, demonstrating a deep understanding of software architecture and cloud technologies. Strong experience with API design and integration, as well as familiarity with multimodal AI and foundation models, is highly desirable.

Candidates should possess 5+ years of enterprise software sales experience, with a focus on the Media & Entertainment industry. They should have a proven ability to create and grow a sales pipeline, and demonstrate the capacity to close complex deals. Strong curiosity and creative problem-solving skills, combined with data-driven decision-making, are essential. Willingness to travel for customer meetings and industry events is also required.

Candidates should possess 5+ years of enterprise software sales experience, specifically within the AdTech, MarTech, and SaaS industries. They should have a proven ability to develop and execute sales pipelines, successfully close complex deals, and demonstrate strong curiosity and creative problem-solving skills. A data-driven approach to decision-making is also desired.

Candidates should have 5+ years of experience in revenue operations roles, with a proven track record of building RevOps functions, strong understanding of CRM platforms, and experience establishing revenue operations in high-growth environments, preferably in technology or SaaS. They should also demonstrate success in designing sales compensation plans and deal desk structures, and possess excellent analytical and problem-solving skills with a data-driven approach, along with strong leadership …

Candidates should possess 5-8 years of experience in technical support, solutions engineering, or dev-focused customer success, with at least 2 years in a leadership role. They should be comfortable reading and debugging code, particularly in Python and JavaScript, and demonstrate an understanding of or eagerness to learn the fundamentals of machine learning, generative AI, or media pipelines.

The ideal candidate should possess 8+ years of experience in enterprise partnerships, business development, and partner integration development, exhibiting strategic thinking and execution abilities to translate partnership visions into actionable plans. Excellent communication and negotiation skills are required, alongside a data-driven approach to partnership management, including experience in performance measurement and ROI analysis, and project management expertise. Furthermore, experience …