Education Requirements:

• A CS degree from a top university

Experience Requirements:

• 4+ years of experience in machine learning engineering, building and deploying ML systems in a fast-paced startup environment.

• Significant experience at venture-backed startups and/or big tech companies

• Demonstrated experience in growing, building, and scaling production ML systems at high-growth startups

Responsibilities:

• design, build, and ship production ML systems that drive real-world customer impact.

• You’ll collaborate directly with customers to understand real-world data and needs.

• You’ll design retrieval and ranking pipelines, productionize LLM applications, and optimize system performance

Education Requirements:

• A CS degree from a top university

Experience Requirements:

• 2+ years of experience in full-stack engineering, building products in a fast-paced startup environment.

• Significant experience at venture-backed startups and/or big tech companies

• Demonstrated experience in growing, building, and scaling the codebase of high-growth startups

Responsibilities:

• You will own and ship products.

• You’ll talk to customers throughout the day over Teams, video and phone calls.

• You’ll listen to their needs and develop a plan based on the highest priority items.

• You’ll ship code to execute on the plan.

Education Requirements:

• A CS degree from a top university

Experience Requirements:

• 5+ years of experience in full-stack engineering, building products in a fast-paced startup environment.

• Significant experience at venture-backed startups and/or big tech companies

• Demonstrated experience in growing, building, and scaling the codebase of high-growth startups

Responsibilities:

• You will own and ship products.

• You’ll talk to customers throughout the day over Teams, video and phone calls.

• You’ll listen to their needs and develop a plan based on the highest priority items.

• You’ll ship code to execute on the plan.

Education Requirements:

• A CS degree from a top university

Experience Requirements:

• Software engineering internship experience at high-performance companies (e.g., venture-backed startups or top-tier tech companies)

Responsibilities:

• Own and ship high-impact features end-to-end

• Talk directly to customers to identify pain points and rapidly iterate on solutions

• Deploy production code frequently — often multiple times a day

• Work across our stack (Go, React/Typescript, AWS serverless) to move fast and make things real

Experience Requirements:

• 3+ years of experience in customer success, account management, or client-facing roles in a fast-paced, high-growth tech company — ideally in SaaS or legal tech.

Responsibilities:

• Build strong relationships with users — from paralegals to managing partners

• Lead onboarding and training sessions to ensure successful adoption

• Be the first line of support when issues arise — and coordinate resolution with engineering

• Proactively check in with accounts to uncover pain points, usage gaps, and upsell opportunities

Experience Requirements:

• 5+ years of experience in customer success, account management, or client-facing roles in a fast-paced, high-growth tech company — ideally in SaaS or legal tech.

Responsibilities:

• Build strong relationships with users — from paralegals to managing partners

• Lead onboarding and training sessions to ensure successful adoption

• Be the first line of support when issues arise — and coordinate resolution with engineering

• Proactively check in with accounts to uncover pain points, usage gaps, and upsell opportunities

Experience Requirements:

• 3+ years of experience in a technical customer-facing role — maybe as a solutions engineer, product specialist, or technical account manager — ideally at a fast-growing startup.

Responsibilities:

• Work closely with customers to understand their workflows and goals

• Co-design implementation plans and iterate based on usage and feedback

• Help define and execute rollouts of new features, integrations, and upgrades

• Represent the voice of the customer internally, surfacing patterns and opportunities

Experience Requirements:

• 3+ years of experience in solutions engineering, sales engineering, or technical customer-facing roles at a fast-paced B2B SaaS company.

Responsibilities:

• Own the technical relationship with prospects during evaluation and early implementation

• Run discovery sessions and collaborate on tailored deployment plans

• Deliver high-impact demos, pilots, and proofs of concept

• Answer technical questions around architecture, integration, and security

Experience Requirements:

• 5+ years of experience in solutions engineering, sales engineering, or technical customer-facing roles at a fast-paced B2B SaaS company.

Responsibilities:

• Own the technical relationship with prospects during evaluation and early implementation

• Run discovery sessions and collaborate on tailored deployment plans

• Deliver high-impact demos, pilots, and proofs of concept

• Answer technical questions around architecture, integration, and security

Experience Requirements:

• Some background or experience in the legal industry (or are excited to learn about it)

• Experience with different aspects of go-to-market: taking sales calls, lead generation, blog and social media content, live events, etc.

Responsibilities:

• Executing outbound strategies to generate new opportunities

• Taking and closing sales calls

• Creating marketing and sales enablement content

• Planning and attending conferences and dinners

• Lending a hand wherever needed, eg. with operations or recruiting

Benefits:

• competitive compensation

• attractive equity package

Other Requirements:

• Must be available to relocate and work onsite at our brand-new London office

Responsibilities:

• Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.

• Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.

• Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.

• Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.

• Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.

Benefits:

• competitive compensation

• attractive equity package

Other Requirements:

• Must be available to relocate and work onsite at our brand-new London office

Responsibilities:

• Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.

• Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.

• Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.

• Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.

• Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.

Benefits:

• competitive compensation

• attractive equity package

Other Requirements:

• Must be available to relocate and work onsite at our brand-new London office

Responsibilities:

• Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.

• Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.

• Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.

• Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.

• Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.

Benefits:

• competitive compensation

• attractive equity package

Other Requirements:

• Must be available to work onsite at our brand-new London office

Responsibilities:

• Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.

• Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.

• Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.

• Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.

• Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.

Benefits:

• competitive compensation

• attractive equity package

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, or a related field (PhD is a plus).

Other Requirements:

• Must be available to work onsite at our brand-new London office

Responsibilities:

• Conducting research into symbolic and categorical reasoning models, bridging abstract mathematics with machine learning.

• Translating complex theoretical insights into scalable, efficient coding implementations.

• Developing and optimizing machine learning pipelines for structured reasoning tasks, with a focus on interpretability and performance.

• Building robust experimentation platforms for large-scale training and evaluation of models.

• Collaborating with researchers to explore novel architectures and methodologies in logical reasoning and structured data.

Benefits:

• Competitive compensation

• including an early-stage startup equity package

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, or a related field (PhD is a plus).

Other Requirements:

• Must be available to relocate and work onsite at our brand-new London office

Responsibilities:

• Conducting research into symbolic and categorical reasoning models, bridging abstract mathematics with machine learning.

• Translating complex theoretical insights into scalable, efficient coding implementations.

• Developing and optimizing machine learning pipelines for structured reasoning tasks, with a focus on interpretability and performance.

• Building robust experimentation platforms for large-scale training and evaluation of models.

• Collaborating with researchers to explore novel architectures and methodologies in logical reasoning and structured data.

Benefits:

• Competitive compensation

• including an early-stage startup equity package

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, or a related field (PhD is a plus).

Other Requirements:

• Must be available to relocate and work onsite at our brand-new London office

Responsibilities:

• Conducting research into symbolic and categorical reasoning models, bridging abstract mathematics with machine learning.

• Translating complex theoretical insights into scalable, efficient coding implementations.

• Developing and optimizing machine learning pipelines for structured reasoning tasks, with a focus on interpretability and performance.

• Building robust experimentation platforms for large-scale training and evaluation of models.

• Collaborating with researchers to explore novel architectures and methodologies in logical reasoning and structured data.

Benefits:

• Working in a young and interdisciplinary start-up team

• Lots of responsibility and creative freedom right from the start

• Exploring the future fields of “artificial intelligence” and “circular economy”

• Active contribution to climate protection & circular economy

• Active involvement in decisions Team spirit and a family atmosphere

Education Requirements:

• Completed studies with a focus on personnel management, psychology, economics or a comparable education

• Completed commercial training or comparable qualification

Experience Requirements:

• Several years of (generalist) experience in HR including recruiting, ideally in a dynamic environment

• Several years of professional experience in HR

Responsibilities:

• Management of personnel processes including job advertisements

• Independent management of the entire recruiting process (from needs assessment to onboarding)

• Development and implementation of innovative recruiting strategies to attract qualified talent

• Active sourcing and direct approach via various channels (e.g. LinkedIn)

• Further development of the employer branding strategy and implementation of measures to strengthen the employer brand Optimization of recruiting processes and tools Conducting interviews and supporting the selection process Responsibility for day-to-day HR operations (administrative activities, e.g. drawing up employment contracts, references, processing employee inquiries, pre-entry for payroll, etc.) Managing HR projects (e.g. performance management, introduction of HR software, etc.) Organization of team events

Benefits:

• Working in a young and interdisciplinary start-up team

• Lots of responsibility and creative freedom right from the start

• clear career plan with defined goals

• Exploring the future fields of “artificial intelligence” and “circular economy”

• Active contribution to climate protection & circular economy Active involvement in decisions Team spirit and a family atmosphere

Education Requirements:

• Training or studies in the technical or economic field

Experience Requirements:

• Completed Bachelor's degree or ongoing Master's degree in the field of industrial engineering, mechanical engineering, or a comparable education

Responsibilities:

• Supporting our sales team in the acquisition and support of customers

• Strategic lead generation and identification of potential customers

• Structured and regular contact follow-up of interested parties

• Preparation and follow-up of offers and contracts

• Carrying out market analyses and identifying new business opportunities Creating customized presentations for our customers Organizing and supporting customer presentations and trade fairs Maintaining and updating customer data in the CRM system

Benefits:

• Working in a young and interdisciplinary start-up team

• Lots of responsibility and creative freedom right from the start

• Exploring the future fields of “artificial intelligence” and “circular economy”

• Active contribution to climate protection & circular economy

• Active involvement in decisions Team spirit and a family atmosphere

Education Requirements:

• Completed studies or technician training in a relevant field (e.g. electrical engineering, mechatronics)

Experience Requirements:

• Completed studies in electrical engineering, mechatronics or robotics Min. 3 years of relevant professional experience

• 2 years of relevant professional experience

Responsibilities:

• Creation and adaptation of electrotechnical circuit diagrams in E-Plan

• PLC programming with Beckhoff

• Creation and maintenance of parts lists

• Selection, testing and use of electronic components and sensors (cameras, X-ray technology, pneumatics, robots)

• Creation of installation and test instructions and acceptance protocols Technical coordination with suppliers and customers Conception & design of new AI-based sorting systems in coordination with mechanical design Prototype construction for new AI-based recycling machines Commissioning of new systems