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Machine Learning Engineer (UK)
Coram AI is a comprehensive AI-first security platform for instant video search, real-time alerts, and complete security for people and places.
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
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Machine Learning Engineer (US)
Coram AI is a comprehensive AI-first security platform for instant video search, real-time alerts, and complete security for people and places.
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
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Senior Backend Engineer
Coram AI is a comprehensive AI-first security platform for instant video search, real-time alerts, and complete security for people and places.
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.
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Senior Backend Engineer - India
Coram AI is a comprehensive AI-first security platform for instant video search, real-time alerts, and complete security for people and places.
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.
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Senior C++ Engineer
Coram AI is a comprehensive AI-first security platform for instant video search, real-time alerts, and complete security for people and places.
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.
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Senior C++ Engineer
Coram AI is a comprehensive AI-first security platform for instant video search, real-time alerts, and complete security for people and places.
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.
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Senior Full Stack Engineer
Coram AI is a comprehensive AI-first security platform for instant video search, real-time alerts, and complete security for people and places.
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.
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Senior Full Stack Engineer
Coram AI is a comprehensive AI-first security platform for instant video search, real-time alerts, and complete security for people and places.
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.
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Platform and Infrastructure Engineer
minds.ai Maestro is a deep learning solution that optimizes semiconductor operations and planning, enhancing workflows and improving operational KPIs with AI.
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
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Python Engineer
minds.ai Maestro is a deep learning solution that optimizes semiconductor operations and planning, enhancing workflows and improving operational KPIs with AI.
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
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Pipeline Technical Director
Flawless AI is an Avid Media Composer plugin that refines dialogue and alters performances with perfect sync and full creative control for film and TV.
Benefits:
Autonomy
A hybrid working environment
Competitive Salary
All permanent employees receive generous stock options
Experience Requirements:
2+ years experience in a Pipeline focussed engineering role
Proven experience in a support setting
Other Requirements:
Understanding of the film post-production pipeline
Proficiency in Python
Awareness of security requirements when handling sensitive media
Experience using Linux systems and delivering Linux system-level support
Knowledge of filesystems, permissions, disk management, and Linux interfacing
Responsibilities:
Support ongoing client film projects by building, maintaining, and troubleshooting production pipeline tools
Ensure smooth data movement and show management across different technologies, scripts, and platforms
Provide hands-on Linux support, resolving filesystem, permissions, and media-handling issues
Collaborate closely with production, R&D, and creative users to translate needs into scalable technical solutions
Maintain version control, automated builds, and production releases with high reliability
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Senior Software Engineer - Frontend Leaning
Flawless AI is an Avid Media Composer plugin that refines dialogue and alters performances with perfect sync and full creative control for film and TV.
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.
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Forward Deployed ML Engineer
Modal is an AI infrastructure platform offering sub-second cold starts, instant autoscaling, and a local-like developer experience for running inference, training, and batch jobs.
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
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Forward Deployed ML Engineer - AI Coding Agents
Modal is an AI infrastructure platform offering sub-second cold starts, instant autoscaling, and a local-like developer experience for running inference, training, and batch jobs.
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
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Member of Technical Staff - ML Performance
Modal is an AI infrastructure platform offering sub-second cold starts, instant autoscaling, and a local-like developer experience for running inference, training, and batch jobs.
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.
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Member of Technical Staff - Python SDK
Modal is an AI infrastructure platform offering sub-second cold starts, instant autoscaling, and a local-like developer experience for running inference, training, and batch jobs.
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
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Fullstack Engineer
Gensyn is a network for machine intelligence, providing open, permissionless, and neutral protocols to coordinate and grow AI systems.
Benefits:
Competitive salary + share of equity and token pool
Fully remote work
Visa sponsorship
3-4x all expenses paid company retreats around the world, per year
Whatever equipment you need
Experience Requirements:
Experience delivering world-class web-based user experiences
Understanding of modern TypeScript, JavaScript, HTML, and CSS
Expertise in Go
Experience designing data models, APIs, and service-oriented architectures
Experience operating web servers, services, and databases in production
Other Requirements:
Demonstrable success in high pressure/autonomy/ambiguous work environments.
Python familiarity
Experience scaling applications in a high-growth startup environment
Interest in crypto and/or decentralised applications
Machine learning experience
Experience with distributed systems
Responsibilities:
Collaborate cross-functionally to define requirements for Gensyn Gensyn’s first consumer-facing product
Establish the architecture and tech stack for products built on Gensyn Gensyn’s decentralised AI network
Develop and operationally support web applications for Gensyn users and community members
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Lead Developer
ICS.AI is a leader in public sector AI innovation, providing generative AI technology and AI transformation services to reshape industries and daily life.
Benefits:
Flexible and remote working options.
Enhanced pension scheme (5% employer contribution).
25 days of holiday plus bank holidays.
£1,200 annual work-from-home allowance.
Private healthcare package (Vitality).
Education Requirements:
Degree in Computer Science, Software Engineering, or a related technical field
Professional certifications in Azure, .NET, or Project Management
Experience Requirements:
6+ years of professional software development experience with C# and .NET
Demonstrated experience in both product development and client-facing delivery
Proven track record of capturing business requirements and translating into viable solutions
Strong background delivering Azure-based and Generative AI-enabled solutions
Experience mentoring or supporting developers within delivery teams
Other Requirements:
Excellent communication skills, able to translate technical concepts for non-technical audiences
Applicants must have the legal right to work in the UK.
Responsibilities:
Engage directly with client stakeholders to capture and document business process requirements
Translate workflows into technical designs, backlog items, and deliverables
Assess the feasibility and viability of solutions against business needs, budgets, and technical constraints
Provide technical leadership across programmes and projects, coordinating outputs across delivery teams
Actively contribute to hands-on software development in .NET, C#, Azure, REACT, and related technologies
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Software Engineer
Kindo is the AI-Native Terminal for Technical Operations, transforming enterprise operations to be more secure, intelligent, and autonomous.
Benefits:
Competitive salary and equity package
Comprehensive health, dental, and vision insurance
Unlimited vacation and paid time off policies
A flexible and dynamic work environment with opportunities for occasional remote work
Opportunity to work alongside talented engineers from top companies
Education Requirements:
Bachelor's degree in Computer Science (or related field)
Experience Requirements:
Experience developing in either Typescript or Python
Familiarity with AI concepts, tooling, frameworks, prompting, and/or open source models
Familiarity with SQL databases
Full stack experience and familiarity a suite of end-to-end tools
Experience with the major frameworks in our stack: React, Node.js, and FastAPI
Other Requirements:
Ability to commute to the Venice office 4 days a week
Strong personal excitement and passion for AI technologies
Demonstrated ability to learn independently and ramp up quickly with minimal guidance
Excellent problem-solving skills and a strong desire to learn and grow
Strong communication and collaboration skills, with the ability to work effectively in a dynamic team environment
Legally authorized to work in the US
Comfortable working in an onsite setting
Responsibilities:
Develop and maintain our generative AI platform, ensuring high performance and responsiveness
Collaborate cross-functionally to define, design, and ship new features
Write clean, maintainable, and high performance code, adhering to best practices
Participate in code and design reviews to maintain code quality
Troubleshoot and resolve issues in our development, test, and production environments
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AI Deployment Engineer
Bland is the world's fastest conversational Voice AI, enabling enterprises to automate customer support, sales, and more with custom-trained, secure agents.
Benefits:
Offers Equity
Offers Bonus
Healthcare
dental
vision
Experience Requirements:
1–5 years of experience in full-stack, AI, or solutions engineering roles where you owned builds from concept to production
Proven experience building and integrating AI or automation features into real-world applications
Hands-on experience integrating LLMs or AI SDKs into web applications
Strong comfort working with REST/JSON, scripting languages (Python or JavaScript), and modern dev tools (Git, NPM/PNPM)
Track record of ownership and grit
Other Requirements:
Exceptional new grads with strong ownership and ambition are welcome to apply
Responsibilities:
Design and deploy AI solutions.
Prototype fast, iterate faster.
Collaborate deeply.
Own end-to-end delivery.
Drive adoption and expansion.
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