Benefits:

• MEDICAL, DENTAL, AND VISION

• PROFESSIONAL DEVELOPMENT

• ONSITE FOOD AND BEVERAGE

• MENTAL HEALTH SUPPORT

• WELLNESS BENEFITS FLEXIBLE VACATION & PAID HOLIDAYS FAMILY PLANNING WITH CARROT AURORA UNIFIED GROUPS (AUGS) 401(K) PLAN PAID LEAVE EMPLOYEE ASSISTANCE PROGRAM FSA PLANS COMMUTER BENEFITS LIFE/AD&D INSURANCE & DISABILITY BUSINESS TRAVEL INSURANCE PERSONAL TRAVEL ASSISTANCE

Benefits:

• MEDICAL, DENTAL, AND VISION

• PROFESSIONAL DEVELOPMENT

• ONSITE FOOD AND BEVERAGE

• MENTAL HEALTH SUPPORT

• WELLNESS BENEFITS FLEXIBLE VACATION & PAID HOLIDAYS FAMILY PLANNING WITH CARROT AURORA UNIFIED GROUPS (AUGS) 401(K) PLAN PAID LEAVE EMPLOYEE ASSISTANCE PROGRAM FSA PLANS COMMUTER BENEFITS LIFE/AD&D INSURANCE & DISABILITY BUSINESS TRAVEL INSURANCE PERSONAL TRAVEL ASSISTANCE

Benefits:

• MEDICAL, DENTAL, AND VISION

• PROFESSIONAL DEVELOPMENT

• ONSITE FOOD AND BEVERAGE

• MENTAL HEALTH SUPPORT

• WELLNESS BENEFITS FLEXIBLE VACATION & PAID HOLIDAYS FAMILY PLANNING WITH CARROT AURORA UNIFIED GROUPS (AUGS) 401(K) PLAN PAID LEAVE EMPLOYEE ASSISTANCE PROGRAM FSA PLANS COMMUTER BENEFITS LIFE/AD&D INSURANCE & DISABILITY BUSINESS TRAVEL INSURANCE PERSONAL TRAVEL ASSISTANCE

Benefits:

• Competitive salary + share of equity and token pool

• Fully remote work

• Relocation Assistance

• 3-4x all expenses paid company retreats around the world, per year

• Whatever equipment you need

Experience Requirements:

• Compiler knowledge

• Solid software engineering skills

• Understanding of parallel programming

• Ability to operate on High-Level IR/Clang/LLVM up to middle-end optimisation; and/or Low Level IR/LLVM targets/target-specific optimisations

• Highly self-motivated with excellent verbal and written communication skills

Other Requirements:

• Comfortable working in an applied research environmentwith extremely high autonomy

Responsibilities:

• Writing novel algorithms

• Owning two of the following compiler areas: Front-end, Middle-end, Back-end

Benefits:

• Competitive salary + share of equity and token pool

• Fully remote work

• Relocation Assistance

• 3-4x all expenses paid company retreats around the world, per year

• Whatever equipment you need

Experience Requirements:

• Autonomy

• Deep appreciation of small-scale, high-powered teams

Responsibilities:

• Furthering our mission to build the infrastructure to train ultra-high scale, open source, foundation models

Benefits:

• Competitive salary + share of equity and token pool

• Fully remote work

• Relocation Assistance

• 3-4x all expenses paid company retreats around the world, per year

• Whatever equipment you need

Experience Requirements:

• Strong software engineering skills

• Hands on experience in distributed GPU compute environments

• In-depth understanding of deep learning

Responsibilities:

• Develop performant GPU kernels and compute infrastructure

• Design novel algorithms

Benefits:

• Competitive salary + share of equity and token pool

• Fully remote work

• Relocation Assistance

• 3-4x all expenses paid company retreats around the world, per year

• Whatever equipment you need

Experience Requirements:

• Comfortable working in environments with a heavy research component

• Demonstrable production experience working with one of the following: Modern parallelisation frameworks for training, Frameworks for production scale inference

• Deep theoretical knowledge of deep learning or distributed systems

Responsibilities:

• Productionise advanced ML parallelisation and verification frameworks

• Convert novel hybrid parallelisation and verification research into production code

Benefits:

• Competitive salary + share of equity and token pool

• Fully remote work

• Relocation Assistance

• 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 at least one modern backend technology

Responsibilities:

• Collaborate cross-functionally to define requirements

• Establish the architecture and tech stack

• Develop and operationally support web applications

Benefits:

• Competitive salary + share of equity and token pool

• Fully remote work

• Relocation Assistance

• 3-4x all expenses paid company retreats around the world, per year

• Whatever equipment you need

Experience Requirements:

• Rock solid computer science fundamentals

• Demonstrable production experience shipping code

• Willingness to upskill on rust-lang

• Deep understanding of distributed systems or systems at scale

• Operating system fundamentals

Other Requirements:

• Highly self-motivated with excellent verbal and written communication skills

Responsibilities:

• Contribute to and maintain the Gensyn node, CLI, and related tools

• Conduct code reviews

• Measure and optimize existing components

Benefits:

• Competitive salary + share of equity and token pool

• Fully remote work

• Relocation Assistance

• 3-4x all expenses paid company retreats around the world, per year

• Whatever equipment you need

Experience Requirements:

• Experience deploying large scale workloads to one or more cloud providers

• Experience monitoring and being on call for internal and external deployments

• Infrastructure as Code and GitOps expertise

Responsibilities:

• Manage observability and deployments for a complex, distributed system

• Manage CI/CD and build pipeline infrastructure

• Author and maintain internal developer support tools

Benefits:

• Competitive salary + share of equity and token pool

• Fully remote work

• Relocation Assistance

• 3-4x all expenses paid company retreats around the world, per year

• Whatever equipment you need

Experience Requirements:

• A track record of leading teams in scale/start-ups that went from ‘0 to 1’ and released their first products

• Exceptional leadership, communication, and drive

• Experience attracting and closing world-class engineers

• Hands on engineering experience in (at least) 1 of the following 3 domains: Machine Learning, Compilers, Distributed Systems

Responsibilities:

• Drive a culture of high performance

• Coordination

• Hire and retain world class talent

Benefits:

• Stock Options

• Comprehensive healthcare package

• Fertility and family building benefits

• Paid time off

• Parental leave

Experience Requirements:

• Full Stack Development: Proficiency in TypeScript, React, and Node.js with a solid understanding of clean code practices and exposure to enterprise architectural design patterns.

• API and Service Design: Demonstrated experience in developing APIs and services capable of handling moderate traffic efficiently.

• Asynchronous Systems: Experience in building and maintaining asynchronous systems to support automation and bulk data processing.

• Containerization and Orchestration: Hands-on experience with Docker and Kubernetes, particularly in deploying microservices or simple AI models.

• Cloud Services Exposure: Familiarity with cloud platforms like AWS, Azure, or GCP, and experience with services like AWS Lambda, Google Cloud Functions, or Azure App Services is a plus.

Other Requirements:

• Problem-Solving Approach: A proactive problem-solver who contributes practical ideas for improving workflows and enabling product enhancements.

• Team Collaboration: Strong communication skills and a proven ability to work effectively within a team.

• Adaptability: Capable of prioritizing tasks and managing workloads in dynamic environments, aligning systems with evolving business needs.

• AI and Machine Learning Expertise: Skills in integrating and implementing AI/ML solutions within a product development environment. Skills in foundational models, prompt engineering and understanding to validate the quality of AI products.

• Platform Experience: Experience in developing platform features to enable internal teams.

Responsibilities:

• Collaborate and Innovate: Work closely with product managers, designers, and other engineers to build best-in-class AI-enabled features for our customers, ensuring seamless integration of AI technologies with existing systems.

• Full Stack Development: Design, develop, and maintain scalable frontend and backend features using TypeScript, React, and Node.js, while ensuring they are compatible with AI components, services, and APIs.

• AI Integration: Implement and integrate AI technologies, such as generative AI, machine learning models, or NLP, to enhance our platform’s capabilities, optimize processes, and improve user experiences.

• Holistic Thinking: Think critically about the interactions between AI models and product components to ensure a cohesive and intuitive user experience.

• Rapid Problem-Solving: Quickly fix bugs and solve problems, particularly related to AI performance, model integration, or data pipeline issues, to enhance customer satisfaction.

Benefits:

• Competitive compensation and stock options

• Relocation support

• Social and education allowances

• Regular company events

• Hands-on onboarding program

Education Requirements:

• MSc in artificial intelligence, machine learning, computer science or related field

Experience Requirements:

• Experience in conceptualising, implementing and thoroughly evaluating advanced AI-based systems

Other Requirements:

• Excellent communication skills

• Passionate about keeping up to date with current research

• Solid software engineering skills

• Writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++

Responsibilities:

• Developing ML/AI leveraging state-of-the-art methods and architectures

• Designing experiments and conducting benchmarks

• Improving performance in real-world scenarios

• Collaborating with people across teams to integrate ML/AI in production systems

Benefits:

• Competitive compensation and stock options

• Relocation support

• Social and education allowances

• Regular company events

• Hands-on onboarding program

Education Requirements:

• STEM MSc with solid mathematical and statistical background

Experience Requirements:

• Experience in assuring the safe deployment of AI products

Other Requirements:

• Excellent communication skills

• Passionate about keeping up to date with current research

• Solid software engineering skills

• Writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++

Responsibilities:

• Defining operational domains and evaluating the reliability of AI capabilities

• Developing and extending uncertainty quantification and calibration

• Understanding AI systems and evaluating robustness

• Contributing to impactful projects and collaborating with various teams

Benefits:

• Competitive compensation and stock options

• Relocation support

• Social and education allowances

• Regular company events

• Hands-on onboarding program

Education Requirements:

• MSc in machine learning with a speciality in either Operational Research, Computational Engineering or Applied Mathematics

Experience Requirements:

• 3+ years of experience in operational research or related fields

Other Requirements:

• Strong experience in linear and non-linear programming

• Excellent communication skills

• Passionate about keeping up to date with current research

• Solid software engineering skills

• Writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++

Responsibilities:

• Contributing to optimization stack by implementing, improving and extending current state of the art

• Contributing to projects and collaborating with various teams

Benefits:

• Competitive compensation and stock options

• Relocation support

• Social and education allowances

• Regular company events

• Hands-on onboarding program

Education Requirements:

• MSc in artificial intelligence, machine learning, computer science or related field

Experience Requirements:

• Experience in conceptualising, implementing and thoroughly evaluating advanced AI-based systems

Other Requirements:

• Advanced knowledge of reinforcement learning

• Proven experience in benchmarking and evaluating RL-based systems

• Authored publications in top-tier journals and conferences

Responsibilities:

• Leading research and development of verification and validation for RL systems

• Conducting research to develop safety guarantees and evaluation approaches

• Advancing state-of-the-art for evaluating multi-agent RL systems

• Designing and implementing RL evaluation frameworks

• Publishing and presenting research

Benefits:

• Competitive compensation and stock options

• Relocation support

• Social and education allowances

• Regular company events

• Hands-on onboarding program

Education Requirements:

• MSc in machine learning with a speciality in either robotics, reinforcement learning, or automation and control

Other Requirements:

• Excellent communication skills

• Passionate about keeping up to date with current research

• Solid software engineering skills

• Writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++

Responsibilities:

• Contributing to reinforcement learning stack by implementing, improving and extending current state of the art

• Contributing to projects and collaborating with various teams

Benefits:

• Competitive compensation and stock options

• Relocation support

• Social and education allowances

• Regular company events

• Hands-on onboarding program

Education Requirements:

• BSc in computer science, engineering or related field

Experience Requirements:

• Independent and creative problem-solving skills

• Strong communication skills

• Experience operating from a terminal and writing scripts

• Meticulous at housekeeping and pay extra attention to detail

Other Requirements:

• Driving licence valid in EU

Responsibilities:

• Supporting engineering team in data preparation pipeline

• Collecting video data using drones, vehicles, and cameras

• Using data annotation tools

• Assessing, scoping, and prioritizing data requests

Benefits:

• Competitive compensation and stock options

• Relocation support

• Social and education allowances

• Regular company events

• Hands-on onboarding program

Education Requirements:

• Degree in computer science, software engineering, electrical engineering, or other relevant fields

Experience Requirements:

• Broad understanding and creative use of computer systems

• Comfortable with scripting languages such as Bash or Python

• Experience with software engineering in C++, Java, Rust, or similar

• Able to navigate and configure Linux systems

• Understanding of network stacks and database systems

Other Requirements:

• Prefer asking questions over stipulating answers

• Love figuring things out

• Not afraid of legacy systems

• If applying for Germany - able to speak business level or fluent German

Responsibilities:

• Collaborating with customer engineers to integrate software into complex systems

• Defining and executing against end-to-end outcome of delivering novel capabilities

• Discovering and formalising customer requirements

• Identifying bugs and shipping features

• Coordinating technology demonstrations