AI Jobs

Benefits:

• Company equity % in an early-stage startup

• 100% company-paid private Dental & Vision insurance

Experience Requirements:

• Expert in React & TypeScript, with strong CSS and responsive design skills.

• Experience with React Query, Storybook, and Material UI (or similar).

• Proven ability to optimize performance and build interactive, user-friendly applications.

• Experience leading large-scale front-end projects and setting best practices.

• Familiarity with backend/cloud technologies (AWS, Python, databases).

Other Requirements:

• Self-driven with a high level of intrinsic motivation to succeed and adapt to evolving requirements; able to work flexible hours to meet deadlines as necessary.

• Excellent verbal and written communication skills to effectively collaborate with cross-functional teams and document technical processes clearly.

Responsibilities:

• Developing high-performance, responsive UIs for seamless user interactions.

• Collaborating with a top team of designers and engineers to create an intuitive, industry-leading product.

• Building and maintaining a scalable component library for a consistent design system.

• Optimizing performance and ensuring maintainability, scalability, and code quality.

Benefits:

• Company equity % in an early-stage startup

• 100% company-paid private Dental & Vision insurance

Experience Requirements:

• Strong machine learning fundamentals (linear algebra, probability and statistics, supervised and self-supervised learning)

• Comfortable with productionzing a Pytorch model developed in C++, profiling the model for latency, finding bottlenecks, and optimizing them

• Good understanding of docker and containerization

• Experience with Pytorch and Python3, and comfortable with C++

• Understanding of Torch script, ONNX runtime, TensorRT

Other Requirements:

• You should be a good software engineer who enjoys writing production-grade software.

• Keeping up with the latest in deep learning research, reading research papers, and familiarity with the latest developments in foundation models and LLMs

• Understanding of half-precision inference and int8 quantization

Responsibilities:

• Take an existing open-source Pytorch model, fine tune, productionize them in C++ runtime, and optimize for latency and throughput.

• Take an open-source model and fine-tune them on our in-house data set as needed.

• Design thoughtful experiments in evaluating the tradeoffs between latency and accuracy on the end customer use case.

• Integrate the model with the downstream use case and fully own the end metrics.

• Maintain and improve all existing ML applications in the product

Benefits:

• Company equity % in an early-stage startup

• 100% company-paid private Dental & Vision insurance

Experience Requirements:

• Strong machine learning fundamentals (linear algebra, probability and statistics, supervised and self-supervised learning)

• Comfortable with productionzing a Pytorch model developed in C++, profiling the model for latency, finding bottlenecks, and optimizing them

• Good understanding of docker and containerization

• Experience with Pytorch and Python3, and comfortable with C++

• Understanding of Torch script, ONNX runtime, TensorRT

Other Requirements:

• You should be a good software engineer who enjoys writing production-grade software.

• Keeping up with the latest in deep learning research, reading research papers, and familiarity with the latest developments in foundation models and LLMs

• Understanding of half-precision inference and int8 quantization

Responsibilities:

• Take an existing open-source Pytorch model, fine tune, productionize them in C++ runtime, and optimize for latency and throughput.

• Take an open-source model and fine-tune them on our in-house data set as needed.

• Design thoughtful experiments in evaluating the tradeoffs between latency and accuracy on the end customer use case.

• Integrate the model with the downstream use case and fully own the end metrics.

• Maintain and improve all existing ML applications in the product

Benefits:

• Company equity % in an early-stage startup

• 100% company-paid private Dental & Vision insurance

Experience Requirements:

• 5+ years of industry experience and having built systems of reasonable scale

• Familiar and have experience with either Go or Python

• Experience designing, implementing, debugging, scaling, and optimising APIs, databases and pipelines as the traffic grows to multi-TB scale

• Experience with infrastructure-as-code solutions (e.g., Pulumi over AWS).

• Experience with monitoring tools (e.g., Grafana).

Other Requirements:

• Experience with authentication (e.g., Auth0).

• High intrinsic motivation to succeed and ability to work hard.

Responsibilities:

• Design and implementation of the APIs, databases and data pipelines.

• Ensure the system can scale to the growing traffic, have full observability and drive down the cost.

• Taking end-to-end responsibility over delivery of features, maintaining high SLA and debugging issues.

• Supporting a broader front-end, edge-computing and ML team.

Benefits:

• Company equity % in an early-stage startup

• 100% company-paid private Dental & Vision insurance

Experience Requirements:

• 5+ years of industry experience and having built systems of reasonable scale

• Familiar and have experience with either Go or Python

• Experience designing, implementing, debugging, scaling, and optimising APIs, databases and pipelines as the traffic grows to multi-TB scale

• Experience with infrastructure-as-code solutions (e.g., Pulumi over AWS).

• Experience with monitoring tools (e.g., Grafana).

Other Requirements:

• Experience with authentication (e.g., Auth0).

• High intrinsic motivation to succeed and ability to work hard.

Responsibilities:

• Design and implementation of the APIs, databases and data pipelines.

• Ensure the system can scale to the growing traffic, have full observability and drive down the cost.

• Taking end-to-end responsibility over delivery of features, maintaining high SLA and debugging issues.

• Supporting a broader front-end, edge-computing and ML team.

Benefits:

• Company equity % in an early-stage startup

• 100% company-paid private Dental & Vision insurance

Experience Requirements:

• 3+ years of experience writing production software in C++ and Python of experience building applications processing real-time data and optimizing them for latency and memory.

• Experience using various profiling tools (e.g., gdb, Nsight, Valgrind, flame graph) to optimize the code.

• Experience with Docker, CI / CD pipelines.

• Experience with Edge/IoT computing (we have a fleet of deployed edge computers).

• Experience with infrastructure management (e.g., Salt).

Other Requirements:

• Experience with monitoring tools (e.g., Grafana).

• Experience with video processing & streaming (e.g., Gstreamer).

• Experience interfacing ML models (we use PyTorch).

• High intrinsic motivation to succeed and ability to work hard.

Responsibilities:

• Building edge applications processing vision data and communication layers for the compute-constrained edge devices.

• Deploying machine learning models to production.

• Optimizing the platform runtime for maximum performance. This is largely C++ code with parts of the pipeline running on GPU.

• Building observability and telemetry.

Benefits:

• Company equity % in an early-stage startup

• 100% company-paid private Dental & Vision insurance

Experience Requirements:

• 3+ years of experience writing production software in C++ and Python of experience building applications processing real-time data and optimizing them for latency and memory.

• Experience using various profiling tools (e.g., gdb, Nsight, Valgrind, flame graph) to optimize the code.

• Experience with Docker, CI / CD pipelines.

• Experience with Edge/IoT computing (we have a fleet of deployed edge computers).

• Experience with infrastructure management (e.g., Salt).

Other Requirements:

• Experience with monitoring tools (e.g., Grafana).

• Experience with video processing & streaming (e.g., Gstreamer).

• Experience interfacing ML models (we use PyTorch).

• High intrinsic motivation to succeed and ability to work hard.

Responsibilities:

• Building edge applications processing vision data and communication layers for the compute-constrained edge devices.

• Deploying machine learning models to production.

• Optimizing the platform runtime for maximum performance. This is largely C++ code with parts of the pipeline running on GPU.

• Building observability and telemetry.

Benefits:

• Company equity % in an early-stage startup

• 100% company-paid private Dental & Vision insurance

Experience Requirements:

• 3+ years of industry experience and having built systems of reasonable scale

• Familiar and have experience with backend technologies including Python or Go.

• Experience with databases such as Postgres, Redis.

• Familiar and have experience with front-end technologies (Typescript, React, react-query, build tools, React component libraries).

• Experience with Infrastructure-as-code solutions (e.g., Pulumi over AWS).

Other Requirements:

• Experience with Mobile development (we use React-native).

• Any experience with platform engineering (C++), or video streaming is a strong bonus but not required.

• High intrinsic motivation to succeed and ability to work hard.

Responsibilities:

• Design and implementation of new backend APIs and working with the edge team.

• Implementing user-facing front-end interfaces and working with the product team.

• Ensure the system can scale and have full observability.

• Delivering high-quality features, testing them well, and debugging issues.

Benefits:

• Company equity % in an early-stage startup

• 100% company-paid private Dental & Vision insurance

Experience Requirements:

• 3+ years of industry experience and having built systems of reasonable scale

• Familiar and have experience with backend technologies including Python or Go.

• Experience with databases such as Postgres, Redis.

• Familiar and have experience with front-end technologies (Typescript, React, react-query, build tools, React component libraries).

• Experience with Infrastructure-as-code solutions (e.g., Pulumi over AWS).

Other Requirements:

• Experience with Mobile development (we use React-native).

• Any experience with platform engineering (C++), or video streaming is a strong bonus but not required.

• High intrinsic motivation to succeed and ability to work hard.

Responsibilities:

• Design and implementation of new backend APIs and working with the edge team.

• Implementing user-facing front-end interfaces and working with the product team.

• Ensure the system can scale and have full observability.

• Delivering high-quality features, testing them well, and debugging issues.

Benefits:

• Supportive engineering environment

• Regular informal instructions from senior engineers

• Regular training and knowledge-sharing sessions

• Ability to attend conferences and network

• Encouragement to give talks at conferences, meetups and submit papers to publications

Education Requirements:

• BS, MS, PhD in quantitative field, such as Physics, Mathematics, Statistics, Engineering

• Equivalent practical experience

Experience Requirements:

• Good knowledge of statistics, data analysis, and modelling methods

• Problem solving skills with respect to approaching a new dataset/customer request and formulating a problem

• Experience with some form of Deep Learning, for example Image recognition, or NLP, and a solid understanding of the foundations

• Experience with programming in Python

• Experience with Reinforcement Learning

Other Requirements:

• Good written and verbal communication

• Demonstrated ability to work with minimal to no supervision

• Ability to work remotely with cross-cultural teams

• Self-motivation to learn new concepts and an excellent record of execution

• A sense of urgency, result orientedness, and excellent ability to prioritize

Responsibilities:

• Working directly with our customers to support the deployment of our products

• Internally strengthening the products themselves

• Initial data exploration for customers

• Modelling and problem formation for customers

• Reinforcement Learning training for customers

Benefits:

• Supportive engineering environment

• Regular informal instructions from senior engineers

• Regular training and knowledge-sharing sessions

• Ability to attend conferences and network

• Encouragement to give talks at conferences, meetups and submit papers to publications

Education Requirements:

• BS, MS, in Computer Science or a related field

• Equivalent practical experience

Experience Requirements:

• Good working knowledge of Docker, Kubernetes, Terraform, and other cloud-native technologies

• Experienced with working with public cloud providers (e.g. Azure, GCP, or AWS)

• Excellent debugging skills of distributed systems software and willingness/ability to go under the hood when required

• Strong programming background with extensive experience in Python

• Familiarity with software engineering best practices

Other Requirements:

• Good written and verbal communication

• Demonstrated ability to work with minimal to no supervision

• Ability to work remotely with cross-cultural teams

• Self-motivation to learn new concepts and an excellent record of execution

• A sense of urgency, result orientedness, and excellent ability to prioritize

Responsibilities:

• Design our flagship reinforcement learning platform Deepsim

• Develop our flagship reinforcement learning platform Deepsim

• Support our flagship reinforcement learning platform Deepsim

• Make DeepSim more scalable, robust, and deployable

• Ensure that data processing and model serving needs can be serviced by the platform

Benefits:

• Supportive engineering environment

• Regular informal instructions from junior engineers

• Regular training and knowledge-sharing sessions

• Ability to attend conferences and network

• Encouragement to give talks at conferences, meetups and submit papers to publications

Education Requirements:

• BS, MS, in Computer Science or a related field

• Equivalent practical experience

Experience Requirements:

• Deep experience with Python programming

• Experience designing and developing backend (REST API) servers via FastAPI (or other similar solutions)

• Experience working and interaction with databases and related technologies such as Postgres, MySQL, MongoDB, SQLAlchemy, etc.

• Experience in building scalable and fault-tolerant distributed systems

• Have worked on solutions that contain logging, monitoring and security best practices

Other Requirements:

• Good written and verbal communication

• Demonstrated ability to work with minimal to no supervision

• Ability to work remotely with cross-cultural teams

• Self-motivation to learn new concepts and an excellent record of execution

• A sense of urgency, result orientedness, and excellent ability to prioritize

Responsibilities:

• Design the server components of our flagship reinforcement learning platform Deepsim

• Develop the server components of our flagship reinforcement learning platform Deepsim

• Support the server components of our flagship reinforcement learning platform Deepsim

• Make Deepsim more accessible and composable

• Ensure that data processing, inspection of results, training of neural networks or model serving needs can be serviced by the platform

Benefits:

• Autonomy

• A hybrid working environment

• Competitive Salary

• All permanent employees receive generous stock options

Other Requirements:

• Organization and planning

• Facilities management

• Good communication

• Can-do attitude

• Attention to detail

Responsibilities:

• Oversee daily operations of the LA office, ensuring supplies, food, and equipment are consistently stocked and maintained

• Manage relationships with vendors and service providers to ensure smooth facilities management

• Respond quickly to office needs, resolving issues with efficiency and ownership

• Plan and coordinate internal events including team socials, holiday parties, and office celebrations

• Take ownership of visa sponsorship processes - coordinating documentation, timelines, and communication with employees and immigration lawyer

Benefits:

• Autonomy

• A hybrid working environment

• Competitive Salary

• All permanent employees receive generous stock options

Experience Requirements:

• 2–4 years in outbound sales, business development, or a similar client-facing role

• Proven success generating and qualifying leads in a fast-paced environment

• Experience selling into media, entertainment, or post-production companies

Other Requirements:

• Strong communication and relationship-building skills across creative and technical audiences

• Understanding of film, TV, or VFX production processes and terminology

• Highly coachable and eager to learn new technology and workflows

• Self-starter who thrives on autonomy and measurable results

• Comfortable engaging with senior production professionals (e.g., Directors, Producers, Editors)

Responsibilities:

• Research and map out upcoming film and TV productions associated with key studio accounts.

• Proactively reach out to producers, directors, editors, and other production stakeholders to introduce Flawless’ technology.

• Generate qualified opportunities and book meetings for the senior sales team.

• Collaborate closely with Sales and Customer Success to organize and coordinate demos.

• Track engagement activity and manage account insights within CRM tools.

Benefits:

• Autonomy

• A hybrid working environment

• Competitive Salary

• All permanent employees receive generous stock options

Experience Requirements:

• Strong expertise with React and TypeScript in production environments

• Proven experience architecting and shipping frontend applications end-to-end

• Experience reviewing code, mentoring peers, and upholding engineering best practices

• Prior work in smaller, fast-moving environments where autonomy and adaptability are key

• Experience building or integrating testing frameworks such as Cypress

Other Requirements:

• Ability to navigate ambiguity and make clear technical tradeoffs in fast-changing environments

• Strong problem-solving skills with a product-first mindset

• Comfort with modern tooling (e.g. Vite, nx, Redux, Storybook, Webpack)

• Familiarity with 3D or media-related libraries (e.g. React Three Fiber, Konva, PeaksJS)

• Experience with GraphQL, Auth0

Responsibilities:

• Design, build, and maintain core product features using React and TypeScript, ensuring code quality, performance, and accessibility.

• Own end-to-end development across the frontend stack, from architecture to deployment. With some willingness/ability to contribute on the backend.

• Review and mentor code contributions from peers, driving best practices and raising engineering standards.

• Collaborate with product managers and designers to translate creative and technical requirements into elegant, user-centric solutions.

• Work closely with backend engineers to integrate APIs and ensure seamless product functionality.

Experience Requirements:

• Experience in product design teams that have shipped software

• Strong portfolio showing your skills in typography, interaction design, visual design, and product thinking

• Experience working in fast-paced engineering environments

• Clear communication skills to explain design decisions and gather feedback

Other Requirements:

• Technical background or experience with developer tools

• Previous work on observability platforms

• Experience designing for technical users

• Knowledge of serverless architectures

Responsibilities:

• Design interfaces that make Modal the best serverless experience for developers

• Work with engineering and go-to-market teams on product strategy and roadmapping

• Help build our design team and processes as we scale beyond Series A

• Create systems that balance technical depth with usability

Experience Requirements:

• At least a few years of professional ML engineering experience (or solutions engineering or similar)

• Clear communicator who can make complex ideas easy to understand

• Solid business sense and ability to build trust and strong working relationships

Other Requirements:

• Willing to work in-person

Responsibilities:

• Help our customers architect and build complex AI applications on Modal

• Work with companies developing some of the most cutting edge AI use cases in the world, such as Lovable, Suno and Mistral AI

• Optimize performance for open-source models and frameworks

• Write examples and build demos that showcase Modal

• Contribute to the core Modal stack

Experience Requirements:

• At least a few years of professional software engineering experience (or solutions engineering or similar)

• Solid understanding of networking, containers, cloud technology etc.

• Clear communicator who can make complex ideas easy to understand

• Solid business sense and ability to build trust and strong working relationships

Other Requirements:

• Willing to work in-person in Stockholm

Responsibilities:

• Help our customers architect and build complex applications on Modal, with an emphasis on AI coding agent use cases powered by our Sandbox product.

• Work with companies developing some of the most cutting edge AI use cases in the world, such as Lovable, Suno and Mistral AI.

• Write examples and build demos that showcase Modal

• Contribute to the core Modal stack

• Help our community build cool stuff on top of Modal

Experience Requirements:

• 5+ years of experience writing high-quality, high-performance code.

• Experience working with torch, high-level ML frameworks, and inference engines (vLLM or TensorRT).

• Familiarity with Nvidia GPU architecture and CUDA.

• Experience with ML performance engineering (tell us a story about boosting GPU performance — debugging SM occupancy issues, rewriting an algorithm to be compute-bound, eliminating host overhead, etc)

Other Requirements:

• Nice-to-have: familiarity with low-level operating system foundations (Linux kernel, file systems, containers, etc).

• Ability to work in-person, in our NYC, San Francisco or Stockholm office.

Experience Requirements:

• 5+ years of experience developing high-quality Python libraries with broad user-bases, ideally including some experience maintaining open-source software.

• Knowledge of advanced Python features, especially async programming.

• A strong product sense that manifests as a focus on developer ergonomics and productivity.

• A high level of customer empathy, good communication skills, and an openness to working directly with our users to help solve their problems.

Other Requirements:

• Ability to work in-person in our NYC or Stockholm office.

• Familiarity with modern data / ML / AI tools and workflows

• Experience with Typescript, Go, or Rust