Education Requirements:

• A completed B.Sc. in computer science or related fields

• Completed coursework on machine learning and/or deep learning

Experience Requirements:

• Foundational knowledge in machine learning algorithms

• Experience with the PyTorch deep learning framework

• Experience with the Python programming language

• Ability to read, understand, reimplement and critique research publications

• Experience with or coursework about compression methods like quantization, pruning, and compilation

Responsibilities:

• Understand and implement compression methods from open-source projects and research papers

• Integrate these methods into our compression tool, ensuring they are user-friendly and effective

• Adapt and extend successful methods to support various architectures and use-cases

• Conduct thorough testing to ensure the reliability and robustness of the compression tool

Experience Requirements:

• Knowledge of HubSpot/SFDC

• 3-5 years of marketing experience, preferably in B2B marketing including specific experience with multi-touch campaigns, events, demand generation, and multi-channel

Responsibilities:

• Develop integrated field programs, mapping audience-centric themes to target audiences throughout the buying cycle to achieve pipeline creation and revenue goals for specific customer segments

• Work closely with our sales and customer success team and forge strong communication and processes between teams

• Execute regional field marketing campaigns including, but not limited to trade shows, owned events, user conferences, webinars, and other lead generation activities

• Plan and execute marketing strategy with other marketing team members

• Continuously measure, manage and appropriately adjust campaign effectiveness: lead generation performance; lead conversion ratios; sales cycle conversions Expand and adapt that strategy based on learnings and analysis of sales and marketing data—both internally collected and available industry standards Travel between our European and US offices in addition to the events you will be organizing. It's essential that you're open and willing to travel as and when required

Benefits:

• Highly Competitive Salary Package

• Employee Shares Program

• Mentor Program

• Flexibility - Time Off & Hybrid Working

• Internal Social Events (e.g., cooking, game nights, sports) Company Team Weeks Central Office Location in Munich, London, and Boston Investment in Your Learning Benefit Package

Benefits:

• Highly Competitive Salary Package

• Employee Shares Program

• Mentor Program

• Flexibility - Time Off & Hybrid Working

• Internal Social Events (e.g., cooking, game nights, sports) Company Team Weeks Central Office Location in Munich, London, and Boston Investment in Your Learning Benefit Package

Experience Requirements:

• 5+ years iOS/Mac experience

Benefits:

• Opportunity to work with a talented team led by experienced serial entrepreneurs

• Full responsibility for your work and ample room for growth

• 1,000 Euro annual budget for personal development

• On-the-job coaching and detailed feedback for personal growth

• Flat hierarchies with quick decision-making processes

Experience Requirements:

• 6+ years of professional experience in frontend development

• Experience with React.js in building user-facing web applications

• Strong understanding of web technologies, including REST services and GraphQL

• Commitment to code quality, automated testing, and deployment

• Excellent communication skills in English

Other Requirements:

• Ability to solve complex problems and take ownership of your work

Responsibilities:

• work on the core of our Guided Discovery Service, which is used by hundreds of thousands of users each month

• contribute to the development of our admin portal using a tech stack primarily focused on React.js, JavaScript, and TypeScript

• maintain up-to-date projects

Benefits:

• 1500€ annual education budget per team member

• MacBook or Lenovo notebook and free choice of OS

• Great flexibility, whether in the office, at home, or with unlimited workstation

• Autonomy, team spirit, part-time opportunity, and room for your ideas

• Spacious office in Laim/Schwanthalerhöhe with a modern workplace including standing desks

Experience Requirements:

• Experience with React (or any modern Frontend JS framework like Angular/Vue/Svelte/"), Typescript and the willingness to learn our tech stack

• A knack for good UX and good designs

• Skilled in creating sketches, wireframes, UI mockups, and ideally in working with Leaflet or other solutions for interactive maps

• Very good communication skills in English

• Residence in Germany or the right to work in Germany

Responsibilities:

• work closely with our product, customer success, sales, and backend teams to build customer UI features as well as internal dashboards

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

Experience Requirements:

• Strong technical aptitude and natural curiosity

• Excellent written and verbal communication skills

• Natural problem solver

• Passionate about protecting liberal democratic values

Responsibilities:

• Testing software and hardware products

• Capturing data and providing feedback to engineers

• Installing AI software onto edge computing devices

• Helping to design and improve test plans

• Defining and securing resources for field testing operation

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

Benefits:

• A focus on outcomes, not time-tracking

• Social allowances

• Regular company events

• Hands-on onboarding program

Education Requirements:

• PhD or Masters in robotics, control, computer science, engineering or related field

Experience Requirements:

• Experience in conceptualising, implementing and thoroughly evaluating advanced control systems

• Excellent communication skills

Other Requirements:

• Solid software engineering skills

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

Responsibilities:

• Designing and implementing algorithms for optimization & control problems

• Designing, implementing, and executing experiments

• Collaborating with other researchers

• Communicating research agenda, progress, and results

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:

• 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:

• 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:

• A focus on outcomes, not time-tracking

• Social allowances

• Regular company events

• Hands-on onboarding program

Education Requirements:

• PhD or MSc in Generative AI, Computer Vision, or Computer Graphics

Experience Requirements:

• Experience in developing AI/ML algorithms with a focus on synthetic data generation

• Experience with AI frameworks like PyTorch, NumPy, OpenCV

• Experience with software and infrastructure frameworks like Git and Unix

• Ability to communicate ideas clearly and work reliably and independently

Other Requirements:

• Proficient in Python

Responsibilities:

• Researching relevant papers in AI

• Conceptualising applications of state-of-the-art technologies

• Understanding advantages and disadvantages of algorithmic approaches

• Deriving requirements and implementing software designs

• Summarising findings in documents

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 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

Responsibilities:

• Working directly with the founder and CEO

• Driving askLio into procurement organizations

• Generating leads, establishing partnerships, closing deals

• Overseeing HR, finance, and legal

• Developing company culture

Responsibilities:

• Supporting the COO in strategic and operational aspects

• Participating in high-level discussions

• Managing day-to-day operations

• Collaborating with various stakeholders

Responsibilities:

• Supporting the COO in strategic and operational aspects

• Participating in high-level discussions

• Managing day-to-day operations

• Collaborating with various stakeholders