typicl.ai
Website:
typicl.ai
Company:
https://www.linkedin.com/company/typiclai
Seniority: Not Applicable
Industries: Technology, Information and Media
Job details:
Careers
Are you passionate about artificial intelligence and technology? Do you thrive in a collaborative and innovative environment? Explore exciting career opportunities at Typicl.ai and contribute to shaping the future of AI-powered solutions across industries.
At Typicl.ai, we foster a culture of creativity, collaboration, and continuous learning. Joining our team means being part of a dynamic and forward-thinking organization where your ideas are valued, and your potential is nurtured.
Current Openings
Discover your next career move with Typicl.ai. We are looking for talented individuals to fill roles such as:
- Member of Technical Staff, Frontend
- Member of Technical Staff, Backend
- Member of Technical Staff, Applied Research
- Member of Technical Staff, Machine Learning
- Member of Technical Staff, ML Optimization
- Benefits of Working with Us
We offer competitive compensation packages, comprehensive benefits, and professional development opportunities to help you grow both personally and professionally. Our supportive work environment encourages innovation and rewards dedication, making Typicl.ai an ideal place to advance your career in AI technology.
Member of Technical Staff, Applied Research
at Typicl Remote
Typicl is a research-driven company at the cutting edge of developing new tools for human creativity. We are leaders in multi-modal AI systems, striving to make the future of content creation more accessible, controllable, and empowering for creatives. Our mission is to enable anyone, anywhere, to tell their stories, leveraging deep learning techniques that will revolutionize art, creativity, and design.
Typicl is at the forefront of the generative media revolution, unlocking unparalleled creative potential. Just as the invention of the camera 200 years ago transformed our world, AI is the new tool that will reshape storytelling and lead to fully AI-generated feature films.
About The Role
We are seeking Applied Research Scientists to join our team in developing state-of-the-art computer vision and generative models to enhance our creative tools. Ideal candidates will have a robust background in impactful and innovative machine learning projects, strong software engineering skills, and a passion for bringing research to life through novel user interfaces for creative applications.
This role requires excellent communication and collaboration skills as you will work closely with our backend team to deploy research models into production and with our design and frontend engineering team to ensure seamless integration of machine learning models with user interfaces.
Responsibilities
- Develop groundbreaking research projects in computer vision, focusing on generative models for image and video.
- Create new computer vision pipelines to automate visual effects tasks such as video segmentation, pinpointing, and tracking.
- Collaborate with a top-tier engineering team to push the boundaries of browser-based content creation.
- Work closely with the product team to bring advanced machine learning models to production.
Requirements
- Over 5 years of relevant experience in machine learning, computer vision, and/or graphics.
- Proficiency in programming languages such as Python, C++, and CUDA, and in deep learning frameworks like TensorFlow and PyTorch.
- Exceptional programming skills with an ability to write clean, maintainable research code.
- A strong interest in developing human-in-the-loop systems for creative applications.
- A passion for taking research from initial conception to practical application.
- Experience in mentoring and teaching other researchers.
- Strong communication, collaboration, and documentation skills.
Compensation And Benefits
Typicl is committed to recruiting and retaining top talent from diverse backgrounds and ensuring pay equity within our team. Our salary ranges are based on competitive market rates for our size, stage, and industry. Salary is just one aspect of the comprehensive compensation package we offer.
Salary determinations consider various factors, including experience, skill level, qualifications, and internal equity. The provided salary range reflects expectations for candidates in the U.S., but may vary for candidates in other regions. Any adjustments will be communicated during the interview process.
If you're passionate about the intersection of AI and creativity and are ready to make an impact, we encourage you to apply and join our innovative team at Typicl.
Member of Technical Staff, Backend
at Typicl Remote
Typicl is a leading research company developing innovative tools for human imagination. We are at the forefront of multi-modal AI systems, ensuring the future of content creation is accessible, controllable, and empowering for creatives. Our mission is to enable anyone, anywhere, to tell their stories. We believe that deep learning techniques applied to audiovisual content will transform art, creativity, and design tools.
Typicl is driving a revolution in generative media, unlocking unparalleled creative potential. Just as the invention of the camera 200 years ago changed the world, AI is the new tool that will reshape storytelling and lead to fully AI-generated feature films.
About The Role
We are looking for a Software Engineer to join our Backend team and help build state-of-the-art, AI-powered video creation and collaboration tools. We seek curiosity-driven engineers who are determined problem solvers and thrive in fast-paced, high-ownership environments. Our highly collaborative engineering team tackles a wide range of exciting challenges, including building backend services for interactive video processing and streaming, and deploying advanced computer vision and generative models to production.
A Peek at Our Technical Stack
Our video streaming backend components are developed in Python, utilizing FFmpeg/libav and HLS for real-time transcoding. We use PyTorch and TorchScript for ML inference, deploying these services as containerized applications on Kubernetes. Our API endpoints for real-time collaboration and media asset management are crafted in Typescript and Node.js, deployed as serverless functions on AWS Lambda.
Responsibilities
- Collaborate with a world-class engineering team to push the boundaries of browser-based creativity and content creation.
- Work across the Backend stack to implement new product features for Typicl’s machine learning-based video creation and collaboration tools.
- Develop server-side components utilizing the latest advancements in machine learning and graphics.
- Enhance the performance, reliability, and quality of our codebases.
Requirements
- Over 3 years of industry experience in a software engineering role, preferably backend-focused.
- Proficiency in one or more programming languages, including Python, Node.js, or Rust.
- Experience in architecting production-ready systems and familiarity with debugging and profiling tools.
- Ability to rapidly prototype solutions and iterate on them with tight product deadlines.
- Humility and open-mindedness; at Typicl, we value learning from one another.
Compensation And Benefits
Typicl is committed to recruiting and retaining exceptional talent from diverse backgrounds while ensuring pay equity within our team. Our salary ranges are based on competitive market rates for our size, stage, and industry. Salary is just one aspect of the comprehensive compensation package we offer.
Salary determinations consider various factors, including experience, skill level, qualifications, and internal equity. The provided salary range reflects expectations for candidates in the U.S., but may vary for candidates in other regions. Any adjustments will be communicated during the interview process.
Working at Typicl
Great things come from great teams. We are dedicated to creating an inclusive environment where employees can bring their full selves to work and have equal opportunities to succeed. Regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, or veteran status, if our mission resonates with you, we encourage you to apply.
Member of Technical Staff, Frontend
at Typicl Remote
Typicl is a pioneering research company developing innovative tools for human imagination. We lead in multi-modal AI systems, making the future of content creation accessible, controllable, and empowering for creatives. Our mission is to enable anyone, anywhere, to tell their stories. We believe that deep learning techniques applied to audiovisual content will transform art, creativity, and design tools.
Typicl is driving a revolution in generative media, unlocking unprecedented creative potential. Just as the invention of the camera 200 years ago changed the world, AI is the new tool that will reshape storytelling and lead to fully AI-generated feature films.
About The Role
We are looking for a Staff Software Engineer to join our Frontend team and help build cutting-edge, AI-powered video creation and collaboration tools. We seek curiosity-driven engineers who are determined problem solvers and thrive in fast-paced, high-ownership environments. Our collaborative engineering team tackles a wide range of exciting challenges, including developing new interfaces for AI content creation and deploying advanced computer vision and generative models to production.
A Peek at Our Technical Stack
The rich UI of our generative AI tools is powered by Typescript and React/Redux, while the real-time compositing and graphics engine behind our interactive preview runs on WebGL2 and WebAssembly. Our API endpoints for real-time collaboration and media asset management are crafted in Typescript and Node.js, deployed as serverless functions on AWS Lambda.
Responsibilities
- Create rich multimedia interfaces using the latest AI video generation models: Gen-1 and Gen-2.
- Collaborate with a world-class engineering team to push the boundaries of browser-based creativity and content creation.
- Tackle new challenges across the Frontend stack to implement new product features for Typicl’s machine learning-based generative AI tools.
- Enhance the performance, reliability, and quality of our codebases.
Requirements
- 3-6 years of industry experience in a software engineering role, ideally frontend-focused.
- Proficiency in one or more programming languages, including but not limited to JavaScript/TypeScript.
- Experience in architecting production-ready systems and familiarity with debugging and profiling tools.
- Ability to rapidly prototype solutions and iterate on them with tight product deadlines.
- Humility and open-mindedness; at Typicl, we value learning from one another.
Compensation And Benefits
Typicl is committed to recruiting and retaining exceptional talent from diverse backgrounds while ensuring pay equity within our team. Our salary ranges are based on competitive market rates for our size, stage, and industry. Salary is just one aspect of the comprehensive compensation package we offer.
Salary determinations consider various factors, including experience, skill level, qualifications, and internal equity. The provided salary range reflects expectations for candidates in the U.S., but may vary for candidates in other regions. Any adjustments will be communicated during the interview process.
Working at Typicl
Great things come from great teams. We are dedicated to creating an inclusive environment where employees can bring their full selves to work and have equal opportunities to succeed. Regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, or veteran status, if our mission resonates with you, we encourage you to apply.
Member of Technical Staff, Machine Learning
at Typicl Remote
Typicl is a pioneering research company developing innovative tools for human imagination. We lead in multi-modal AI systems, ensuring the future of content creation is accessible, controllable, and empowering for creatives. Our mission is to enable anyone, anywhere, to tell their stories. We believe that deep learning techniques applied to audiovisual content will transform art, creativity, and design tools.
Typicl is driving a revolution in generative media, unlocking unprecedented creative potential. Just as the invention of the camera 200 years ago changed the world, AI is the new tool that will reshape storytelling and lead to fully AI-generated feature films.
About The Role
We are seeking Machine Learning Engineers to join our team and develop new multimodal AI systems for media generation. The ideal candidate will have a combination of strong engineering skills, extensive experience in machine learning projects, and thrive in a fast-paced, high-ownership environment.
Responsibilities
- Develop innovative research projects in computer vision, focusing on generative models for image and video.
- Collaborate with a world-class engineering team to push the boundaries of browser-based content creation.
- Work closely with the product organization to bring advanced machine learning models to production.
Requirements
- Over 5 years of relevant engineering or research experience in machine learning, computer vision, and/or graphics.
- Solid knowledge of at least one machine learning framework (e.g., PyTorch, TensorFlow).
- Exceptional programming skills with the ability to write clean and maintainable research code.
- A strong interest in building human-in-the-loop systems for creativity.
- Ability to rapidly prototype solutions and iterate on them under tight product deadlines.
- Strong communication, collaboration, and documentation skills.
Compensation And Benefits
Typicl is committed to recruiting and retaining exceptional talent from diverse backgrounds while ensuring pay equity within our team. Our salary ranges are based on competitive market rates for our size, stage, and industry. Salary is just one aspect of the comprehensive compensation package we offer.
Salary determinations consider various factors, including experience, skill level, qualifications, and internal equity. The provided salary range reflects expectations for candidates in the U.S., but may vary for candidates in other regions. Any adjustments will be communicated during the interview process.
Working at Typicl
Great things come from great teams. We are dedicated to creating an inclusive environment where employees can bring their full selves to work and have equal opportunities to succeed. Regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, or veteran status, if our mission resonates with you, we encourage you to apply.
Member of Technical Staff, ML Optimization
at Typicl Remote
Typicl is a pioneering research company developing innovative tools for human imagination. We lead in multi-modal AI systems, ensuring the future of content creation is accessible, controllable, and empowering for creatives. Our mission is to enable anyone, anywhere, to tell their stories. We believe that deep learning techniques applied to audiovisual content will transform art, creativity, and design tools.
Typicl is driving a revolution in generative media, unlocking unprecedented creative potential. Just as the invention of the camera 200 years ago changed the world, AI is the new tool that will reshape storytelling and lead to fully AI-generated feature films.
About The Role
We are looking for a Senior ML Infrastructure Engineer to join our team and optimize our AI models for media generation. The ideal candidate will have extensive experience in improving the performance of model training and inference, a strong low-level understanding of GPU workloads, and thrive in a fast-paced, high-ownership environment.
Responsibilities
- Optimize our state-of-the-art AI models for video generation, such as Gen-1 and Gen-2.
- Build tooling to enhance the efficiency and reliability of distributed training runs on Typicl’s HPC cluster.
Requirements
- Over 3 years of experience in a role focused on optimizing machine learning model inference and training on NVIDIA hardware.
- Proficiency in Python, C/C++, CUDA, and extensive experience profiling GPU performance and distributed training runs.
- Contributions to an ML framework (such as PyTorch), optimized runtimes for inference (such as TensorRT), or compilers (such as GCC).
- Strong communication, collaboration, and documentation skills.
Compensation And Benefits
Typicl is committed to recruiting and retaining exceptional talent from diverse backgrounds while ensuring pay equity within our team. Our salary ranges are based on competitive market rates for our size, stage, and industry. Salary is just one aspect of the comprehensive compensation package we offer.
Salary determinations consider various factors, including experience, skill level, qualifications, and internal equity. The provided salary range reflects expectations for candidates in the U.S., but may vary for candidates in other regions. Any adjustments will be communicated during the interview process.
Working at Typicl
Great things come from great teams. We are dedicated to creating an inclusive environment where employees can bring their full selves to work and have equal opportunities to succeed. Regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, or veteran status, if our mission resonates with you, we encourage you to apply.
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