Benefits:

• Choice-first organisation with a culture built around impact rather than hours

• 5 weeks of vacation

• Competitive salary & equity

• Latest MacBook

• Remote Office Upgrade budget to spend in your first year to ensure you have the best environment possible to work in

Experience Requirements:

• 3+ years as a hands-on engineer

Other Requirements:

• fluent with our stack (React, Typescript, Node.js, SQL)

• thrive in a dynamic and fast-changing environment

• curious, with an active technological watch

• sense of ownership and responsibility

Responsibilities:

• Collaborate closely with the team to design and implement features that prioritize real-world impact.

• Architect, develop, and maintain state-of-the-art services for data ingestion and provisioning, including metric APIs, third-party connector systems, scheduling services and others.

• Build intuitive and responsive data visualizations and insights using React to deliver exceptional user experiences.

• Ensure code performance, security, and reliability, adhering to best practices for scaling within a cloud environment (AWS, Node.js).

• Optimize systems for efficiency and maintainability, addressing bottlenecks and resolving issues.

Benefits:

• Competitive cash and equity-based compensation

• xAI equity

• Private health and dental insurance

• Unlimited time off subject to prior approval

Experience Requirements:

• Expert in at least one programming language that compiles to machine code such as Rust, C++, or Go.

• Expert knowledge of monitoring technologies such as Prometheus, Grafana, and PagerDuty.

• Expert knowledge of deployment technologies such as Pulumi or Terraform.

• Expert knowledge of Kubernetes

Responsibilities:

• Improving our observability by adding/adjusting metrics

• Building easily parsable dashboards

• Building reliable alerts

• Designing and overseeing our on-call rotations

• Improving our deployment process to increase reliability

Benefits:

• stock options

• comprehensive benefits plan

Experience Requirements:

• 1 year+ industrial or academic lab experience

Other Requirements:

• Demonstrated strong engineering skills in Python and PyTorch

• Hands-on experience building machine learning models from scratch using PyTorch

• Familiarity with generative multimodal models such as Diffusion Models and GANs

• Solid understanding of foundational deep learning concepts

Responsibilities:

• Lead and contribute to groundbreaking research in multimodal foundation models

• Design, develop, and experiment with innovative algorithms

• Optimize models for production environments

• Analyze and manage large-scale data clusters

• Collaborate with cross-functional teams

Benefits:

• stock options

• comprehensive benefits plan

Education Requirements:

• Bachelor’s Degree in Design, Human-Computer Interaction, or related field

Experience Requirements:

• Minimum 8 years of experience in UI/UX design

Other Requirements:

• Strong portfolio showcasing design skills and projects

• Proficiency in design tools such as Sketch, Adobe XD, Figma

• Knowledge of front-end technologies such as HTML, CSS is a plus

Responsibilities:

• Lead the UI/UX design process from concept to implementation

• Work closely with product managers, technical engineers, and our creative team to define product requirements and specifications

• Conduct user research, usability testing, and analysis to improve designs based on user insight

• Maintain and evolve design system and style guide to ensure product scalability and consistency

Benefits:

• stock options

• comprehensive benefits plan

Experience Requirements:

• 3+ years of experience in product management

Other Requirements:

• Creative Mindset

• User-Centric

• Technical Acumen

• Data-Driven

• Excellent verbal and written communication skills

Responsibilities:

• Define and own the vision, strategy, and roadmap for our core product

• Conduct user research and analyze data to understand customer behavior

• Prioritize and drive the development of new features

• Work closely with cross-functional teams

• Build and nurture features that empower our user community and foster engagement

Benefits:

• stock options

• comprehensive benefits plan

Experience Requirements:

• 3+ years of experience in billing, payroll, and/or financial operations

Other Requirements:

• Strong understanding of tax compliance and regulatory requirements for payroll and contractor payments

• Proficiency in financial platforms and tools for expense management and reconciliation

• Excellent organizational and problem-solving skills

Responsibilities:

• Oversee billing operations

• Manage company-wide expense policies

• Optimize procurement processes and vendor management

• Administer payroll operations

• Facilitate employee reimbursements

Benefits:

• stock options

• comprehensive benefits plan

Education Requirements:

• Extensive experience in full-stack development

Experience Requirements:

• Extensive experience in full-stack development

Other Requirements:

• Expertise in a wide array of programming languages, development frameworks, and database technologies

• A demonstrated ability to take on a broad range of engineering tasks

• A flexible, agile approach to development

• Strong communication skills

Responsibilities:

• Lead the charge in developing cutting-edge full-stack web and mobile applications

• Architect and implement robust backend systems

• Demonstrate exceptional versatility in engineering

• A problem-solver at heart, ready to tackle complex engineering challenges

Benefits:

• stock options

• comprehensive benefits plan

Experience Requirements:

• 3+ years of professional experience in ML pipelines, distributed systems, or high-performance computing

Other Requirements:

• Hands-on experience training large models using Python and PyTorch

• Proven expertise in optimizing and deploying inference workloads

• Deep understanding of distributed systems and frameworks

• Strong experience writing high-performance parallel C++ and custom PyTorch kernels

Responsibilities:

• Scale and optimize systems for training large-scale models

• Profile and enhance the performance of training codebases

• Develop systems to distribute workloads efficiently

• Design and implement robust solutions to enable model training

• Build tools to diagnose issues

Benefits:

• stock options

• comprehensive benefits plan

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field

Experience Requirements:

• 3+ years of experience in managing and curating large-scale datasets

Other Requirements:

• Strong proficiency in Python and familiarity with deep learning frameworks such as PyTorch

• Experience with large-scale data processing tools, such as SQL or Spark

• Hands-on expertise in designing and working with distributed systems

Responsibilities:

• Partner with research teams to understand and address model performance gaps

• Develop and implement robust data pipelines

• Collaborate with annotation operations teams to design innovative data filtering strategies

• Apply and integrate advanced methodologies such as self-supervised active learning to scale data systems

• Lead research projects to improve data quality

Benefits:

• stock options

• comprehensive benefits plan

Experience Requirements:

• 1 year+ industrial or academic lab experience

Other Requirements:

• Strong proficiency in Python with substantial experience using PyTorch

• Hands-on experience with visual AI technologies

• Passion for exploring and experimenting with multimodal generative AI

Responsibilities:

• Design and implement innovative generative AI features for integration into our products

• Collaborate with Research and Product teams to fine-tune models

• Build tools and methodologies to evaluate model performance

Benefits:

• stock options

• comprehensive benefits plan

Other Requirements:

• Proficiency in deep learning frameworks, such as PyTorch and/or JAX

Responsibilities:

• Developing and training generative AI models across modalities

• Unlocking the potential of foundational models for applications like editing and controlled generation

• On-policy and off-policy reinforcement learning for model optimization and tuning

• Innovating efficient training and inference techniques on large-scale distributed systems

• Curating and processing datasets for pretraining and fine-tuning

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:

• A focus on outcomes, not time-tracking

• Social allowances

• Regular company events

• Hands-on onboarding program

Education Requirements:

• PhD in robotics, computer science, mathematics, engineering or a related field

Experience Requirements:

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

• Familiarity with traditional digital signal processing

• Interest in hardware and deployment of AI models

• Excellent communication skills

• Passionate about keeping up to date with current research

Other Requirements:

• Solid software engineering skills

• Experience with machine learning software platforms

Responsibilities:

• Designing and implementing algorithms for acoustic and signal processing

• Designing, implementing, and executing experiments

• Executing real-life sea trials and experiments

• Assisting with data annotation and curation

• Collaborating with other researchers

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:

• 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:

• 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