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 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 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 …

- 4+ years of experience leading ML / ML infra teams, with experience leading a team of six or more - 8+ total years of experience in engineering - Demonstrated the ability to hire, mentor, and retain ML engineers - Passion for engineering best practices and the grit to uphold those standards even in the face of deadlines (through code review, culture building, etc.) - Deep experience with ML frameworks (i.e. PyTorch, Tensorflow) - Deep experience with the modern Python services stack, i.e. Pyth…

- 5+ years of experience in a fast-changing startup or similar environment with high adaptability, resilience, and proactive problem-solving for frontend engineering tasks - Solid hands-on experience as a backend and/or data engineer, with interest in ML/AI systems and experience in data collection and processing for large-scale generative or contrastive learning models - Proficiency in at least one programming language such as Python or Golang - Preferred Qualifications - Experience leading a t…

- 7+ years of technical recruiting experience with proven track record of directly sourcing and hiring top technical talent - Business-level English communication skills - Experience designing and operating recruitment processes, with confidence and passion for large-scale hiring - High understanding of recruitment metrics and ability to make data-driven decisions - Experience delivering results flexibly in fast-growing environments - Excellent communication and interpersonal skills to build tru…

Candidates should possess a Ph.D. or Master’s degree in Computer Science, AI, or a related field, complemented by significant research experience in areas such as video understanding, large language models, domain adaptation, representation learning, or action recognition, ideally with supporting projects, contributions, and publications. Strong proficiency in Python and PyTorch is essential, and experience developing and deploying large-scale ML models in production or optimizing large model tr…

Candidates should have 6+ years of relevant industry experience, demonstrated experience as a technical lead to deliver projects end to end, strong Python expertise, and considerable prior work history with at least one statically typed language (such as Golang). Experience with modern ML frameworks like PyTorch and Tensorflow is preferred, as is experience scaling ML systems and/or data infrastructure to workloads of petabyte+ scale. A PhD or Master’s degree in machine learning or a related dis…

- 6명 이상의 데이터 혹은 엔지니어링 팀을 4년 이상 리딩한 경험 - 8년 이상의 소프트웨어 엔지니어링 경력과 뛰어난 기술 리더십 보유 - 데이터 혹은 ML 엔지니어의 채용, 온보딩, 멘토링을 통해 팀의 성장을 이끈 경험 - 대규모 데이터 시스템을 설계 및 운영해 본 실질적인 경험 - Preferred Qualifications - 5명 이상의 시니어 엔지니어를 성공적으로 채용하고 성과를 낸 경험 - AI/ML 기반의 핵심 제품을 처음부터 설계하고 출시까지 리딩한 경험 - ML 시스템 또는 데이터 인프라를 페타바이트(PB) 규모로 확장해 본 경험 - Python 기반의 데이터 플랫폼 및 분산 처리 시스템(Spark, Kafka 등)을 실무에서 설계·운영해 본 경험

- Experience designing and operating production services using Python, Postgres, FastAPI, SQLAlchemy, Pydantic, etc - 6+ years of experience in related fields - Experience leading teams as a Technical Lead and driving projects - Experience deploying, serving, and monitoring machine learning models in production environments - Preferred Qualifications - Experience scaling petabyte (PB)+ scale data/ML systems or data infrastructure - Experience building Kubernetes-based distributed ML/data workflo…

Candidates must possess a J.D. from an accredited law school and active bar membership in good standing in at least one U.S. state. A minimum of 2-6 years of combined legal experience at a law firm, in-house, or other relevant roles is required, along with excellent drafting and communication skills, and the ability to simplify complex legal concepts.

Candidates should possess over 10 years of backend engineering experience, with a proven track record in designing and delivering scalable web services and APIs. Advanced proficiency in designing and implementing RESTful APIs adhering to OpenAPI/Swagger specifications, using modern frameworks like Go's Gin or Echo, or Spring Boot, is required. Deep expertise in service-oriented architecture (SOA), microservices, and distributed systems, along with strong knowledge of scalable database design (re…

- Python 및 TypeScript 기반 테스트 자동화 경험 - Pytest, Jest, Playwright 등 테스트 프레임워크 활용 경험 - AWS 기반 인프라 활용 경험 (EKS, S3, Lambda 등) - 테스트 전략 수립부터 케이스 작성 및 결과 공유까지 end-to-end 품질 관리 주도 능력 - 개발자 및 PM과 원활한 커뮤니케이션 가능한 협업형 성향 - Preferred Qualifications - QA 엔지니어 또는 테스트 자동화 엔지니어로서 3년 이상의 경력 - 성능 테스트 도구(Locust 등) 활용 경험 - 모델 품질 테스트에 대한 관심과 경험 - 테스트 인프라 구축 및 CI/CD 파이프라인 내 테스트 연동 경험 - 제품 및 모델 품질 향상에 대한 높은 책임감과 문제 해결 능력

- AWS, GCP, Azure 등 클라우드 환경에서 인프라 구축 및 운영 경험 - Terraform, Ansible 등 IaC(Infrastructure as Code) 도구를 활용한 자동화 및 아키텍처 설계 경험 - Kubernetes, 컨테이너 기반 워크로드 운영 경험 - Python, Go, TypeScript 등 언어를 활용한 스크립팅 및 자동화 경험 - CI/CD 파이프라인 설계 및 운영 경험 - Preferred Qualifications - 인프라 엔지니어로서 8년 이상의 경력 - 엔터프라이즈 SaaS 환경에서 멀티 테넌트 아키텍처 설계 및 운영 경험 - 보안·컴플라이언스 표준에 맞춘 인프라 아키텍처 설계 및 감사 대응 경험 - 고도화된 모니터링 및 로깅 시스템 구축 경험 - 성능 최적화 및 비용 효율화를 동시에 고려한 인프라 운영 경험 - 영어 커뮤니케이션 가능