Benefits:

• Una oficina increíble que ocupa un piso entero.

• KPeople: Bank, "Crédito 0% interés" para nuestro equipo.

• KLearning, programa de educación continua.

• Días libres en fechas importantes; cumpleaños, mudanza, matrimonio, etc.

• Equipos de trabajo dinámicos y flexibles.

Education Requirements:

• Carrera profesional relacionada a los negocios o afines. No excluyente.

Experience Requirements:

• Más de 4 años de experiencia y con cartera de clientes

Other Requirements:

• Conocimiento computacional, nivel usuario (Google Drive y Microsoft Office).

Responsibilities:

• Llamar, captar y fidelizar nuevos clientes con reuniones semanales.

• Mantener cuentas de clientes habituales.

• Registrar y alimentar el CRM con información de prospectos y clientes.

• Desarrollar estrategias de crecimiento para los clientes de exportación.

• Dar solución a las distintas necesidades de los clientes.

Benefits:

• Equity packages - we want our success to be yours too

• Inclusive parental leave policy that supports all parents & carers

• An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more

• Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally

Responsibilities:

• Build ML models for AI-based photo editing.

• Take over project ownership responsibilities and drive projects with specialties like Frontend and Backend to success.

• Stay up-to-date with the very recent advances of AI for photo editing, and you bring new ideas to the team for new AI-based features that our team should build

• Improve the quality of our existing features, by improving our quality evaluation processes and by bringing new ML ideas to the team

• Boost the efficiency of our existing features through code optimization, incorporating new models or Python libraries, or by re-evaluating and speeding up our full stack.

Benefits:

• Brand-new office in the heart of Vienna

• Flexible working hours

• Flexible home office

• Internal knowledge transfer events

• Long-term career planning and development opportunities are offered to you to grow with us personally and professionally, too!! (sic!) We guarantee a secure workplace in a pleasant and familiar atmosphere. We are a motivated team looking forward to new and creative ideas! We are looking for people who want to implement own ideas and are willing to develop extraordinary products together with us.

Benefits:

• Brand-new office in the heart of Vienna

• Flexible working hours

• Flexible home office

• Internal knowledge transfer events

• Long-term career planning and development opportunities are offered to you to grow with us personally and professionally, too!! (sic!) We guarantee a secure workplace in a pleasant and familiar atmosphere. We are a motivated team looking forward to new and creative ideas! We are looking for people who want to implement own ideas and are willing to develop extraordinary products together with us.

Benefits:

• Brand-new office in the heart of Vienna

• Flexible working hours

• Flexible home office

• Internal knowledge transfer events

• Long-term career planning and development opportunities are offered to you to grow with us personally and professionally, too!! (sic!) We guarantee a secure workplace in a pleasant and familiar atmosphere. We are a motivated team looking forward to new and creative ideas! We are looking for people who want to implement own ideas and are willing to develop extraordinary products together with us.

Benefits:

• Brand-new office in the heart of Vienna

• Flexible working hours

• Flexible home office

• Internal knowledge transfer events

• Long-term career planning and development opportunities are offered to you to grow with us personally and professionally, too!! (sic!) We guarantee a secure workplace in a pleasant and familiar atmosphere. We are a motivated team looking forward to new and creative ideas! We are looking for people who want to implement own ideas and are willing to develop extraordinary products together with us.

Benefits:

• Brand-new office in the heart of Vienna

• Flexible working hours

• Flexible home office

• Internal knowledge transfer events

• Long-term career planning and development opportunities are offered to you to grow with us personally and professionally, too!! (sic!) We guarantee a secure workplace in a pleasant and familiar atmosphere. We are a motivated team looking forward to new and creative ideas! We are looking for people who want to implement own ideas and are willing to develop extraordinary products together with us.

Benefits:

• Career Progression

• Great Tech Stack

• Great Training

• High OTE

• High Quota Attainment

Benefits:

• Career Progression

• High OTE

Benefits:

• Generous 401(k) plan with matching to secure and plan for your financial future

• Comprehensive premium health, dental, and vision insurance for you and your dependents

• Early exercise provisions of equity options to participate in the company’s growth

• Unlimited PTO to recharge and rejuvenate

• Healthy lunch and dinner options catered daily at our offices

Education Requirements:

• Bachelor’s degree or International Equivalent in Computer Science, Mathematics, Physics, Information Science or related field; advanced degrees a plus

Experience Requirements:

• Experience with randomized algorithms, information theory, machine learning (both modeling and implementation), optimization.

• Mathematical maturity in multivariate calculus, linear algebra, probability, data structures, and algorithms (at the level these tools are used in current research).

Other Requirements:

• Deep familiarity with one high level programming language, such as Python (and relevant libraries, e.g. NumPy, Scipy, PyTorch) and one low-level language such as C++ or Golang.

• Strong programming skills

• Experience with technical writing and documentation, including academic publications

Benefits:

• International product and innovation-driven team with rich expertise in Computer Vision and Reinforcement Learning as well as distributed training, data engineering, ML ops and cloud architectures

• Working with the latest technologies at the interface between research and industry (enliteAI is an ELISE EU research network Organizing Node)

• Personal growth: Receive continuous training and education opportunities. Budget and time allotment for the pursuit of individual R&D projects, training or conference participations

• Flexible work models: Remote work, an office in Vienna's 1st district and minimal core hours

Experience Requirements:

• 3+ years of work experience in data-driven environments

• Passionate about everything related to AI, Machine Learning and Computer Vision

Other Requirements:

• Experience with Kubernetes and Docker (Helm, Terraform, Amazon Kubernetes Service)

• Familiarity with cloud environments (AWS, Gcloud, Azure)

• Python programming skills, emphasis on backend related technologies (e.g. Flask, Postgres, SQLalchemy)

• Used to mature workflows in software development (Git, issue management, documentation, unit testing, CI/CD)

• Data engineering knowledge (SQL databases, distributed systems)

• Fluent in English both spoken and in written language.

• Valid work permit for Austria

Responsibilities:

• Collaborate with our machine learning engineers and data engineers to publish our models into processing pipelines and deploy to productive environments.

• Design and manage our GPU & CPU server infrastructure, from on-prem Kubernetes clusters to cloud deployments.

• Manage and orchestrate the data pipelines and data storage systems and associated synchronization processes for model training and execution.

• Own our CI/CD pipelines (based on Gitlab)

• Establish monitoring of model, pipeline and infrastructure health. Set up logging to capture relevant information for debugging and auditing.

Benefits:

• International product and innovation-driven team with rich expertise in Computer Vision and Reinforcement Learning as well as distributed training, data engineering, ML ops and cloud architectures

• Working with the latest technologies at the interface between research and industry (enliteAI is an ELISE EU research network Organizing Node)

• Personal growth: Receive continuous training and education opportunities. Budget and time allotment for the pursuit of individual R&D projects, training or conference participations

• Flexible work models: Remote work, an office in Vienna's 1st district and minimal core hours

Experience Requirements:

• 3+ years of work experience in data-driven environments

• Passionate about everything related to AI, Machine Learning and Computer Vision

Other Requirements:

• Python programming skills, emphasis on data engineering and distributed processing (e.g. Flask, Postgres, SQLalchemy, Airflow)

• Proficiency in working with databases and data storage solutions

• Experience with Kubernetes and Docker (Helm, Terraform, Amazon Kubernetes Service)

• Familiarity with cloud environments (AWS, Gcloud, Azure)

• Used to mature workflows in software development (Git, issue management, documentation, unit testing, CI/CD)

• Fluent in English both spoken and in written language.

• Valid work permit for Austria

Responsibilities:

• Collaborate with our machine learning and backend engineers to design and manage scalable processing pipelines in productive environments.

• Implement robust processing flows and I/O-efficient data structures, powering use cases such as road surface analysis, sign detection and localization on large volumes of point cloud and imagery data.

• Design and manage relevant database schemes in close collaboration with backend engineering.

• Create and maintain comprehensive documentation of the processing pipelines, database schemes, configuration and software architecture.

Benefits:

• bonus

• equity

• benefits

Education Requirements:

• M.S. in Electrical Engineering, Applied Physics or related field

Experience Requirements:

• Five (5) or more years relevant industry experience of photonics integrated circuit design

Responsibilities:

• Develop and implement novel photonic integrated devices and circuits.

• Manage complexity and optimize large-scale layouts in advanced wafer platforms.

• Contribute to system-level optimization and product strategy.

• Be motivated by making the world a better place through technology, and wanting to be part of a team that makes this happen.

Benefits:

• bonus

• equity

• benefits

Education Requirements:

• BA/BS degree in a relevant field or equivalent practical experience

Experience Requirements:

• 15 years communications and policy communications experience

Responsibilities:

• Developing and deliver an inspiring communications and communications strategy to support the team’s ambitious agenda across the world

• Developing a range of communication materials to supporting Tapestry’s campaigns such as press releases, FAQs and talking points for a diverse set of press, industry and policy audiences

• Working cross-functionally and with partner organizations to create, lead and execute complex multi-stakeholder communication campaigns

• Building and maintaining strong relationships with members of the press, influencers, policy makers and partners, including serving as an on-record spokesperson.

• Developing strategy to meaningfully engage policymakers and key opinion formers on matters affecting Tapestry’s roll out and contributions to the energy sector

Benefits:

• bonus

• equity

• benefits

Education Requirements:

• Bachelor degree in Optics or Physics

Experience Requirements:

• 7+ years of experience in a Manufacturing Engineering role.

Responsibilities:

• Define, build, document, train and maintain manufacturing assembly, integration and test processes and tooling for optical and opto-mechanical sub-systems to ensure they fulfill design intent, specifications and performance determined by engineering and design is successfully transferred to manufacturing.

• Provide manufacturing engineering input throughout the product life cycle, driving Design for Manufacturing (DFM), Failure Modes and Effects Analysis (FMEA) activities, supporting new product introduction (NPI) builds, and ensuring sustained production quality, process, and yield for Optics integration, alignment, testing and calibration at component, module and system level.

• Define and improve manufacturing procedures, make recommendations for design and/or manufacturing methods and coordinate projects which will result in economical manufacturing costs and enhanced quality.

Benefits:

• Chef-prepared lunch and dinner

• On-site gym and yoga studio

• 24/7 access to the comma fleet of cars

• Health, dental, and vision insurance

• Flexible time off

Responsibilities:

• Own the comma web and mobile experience

• Build an incredible companion app for openpilot

Benefits:

• Chef-prepared lunch and dinner

• On-site gym and yoga studio

• 24/7 access to the comma fleet of cars

• Health, dental, and vision insurance

• Flexible time off

Responsibilities:

• Work on infrastructure to train autonomous agents

Benefits:

• Chef-prepared lunch and dinner

• On-site gym and yoga studio

• 24/7 access to the comma fleet of cars

• Health, dental, and vision insurance

• Flexible time off

Responsibilities:

• Work on steering, gas, and brake controls for the 300 different cars openpilot supports

Benefits:

• Chef-prepared lunch and dinner

• On-site gym and yoga studio

• 24/7 access to the comma fleet of cars

• Health, dental, and vision insurance

• Flexible time off

Responsibilities:

• Work on systems and infrastructure for openpilot

• You'll work on things like mainlining our kernel, bringing up new hardware, and making the comma 3X boot up in 5s.

Benefits:

• Chef-prepared lunch and dinner

• On-site gym and yoga studio

• 24/7 access to the comma fleet of cars

• Health, dental, and vision insurance

• Flexible time off

Other Requirements:

• Computer Vision

• Embedded Control

• AI Application in EE

• Self Driving Cars

Responsibilities:

• Analyze user needs and develop and maintain software programs.

• Evaluate, test, & deploy industry-leading driver distraction detection algorithms for advanced driver assistance systems.

• Update software or enhance existing software capabilities applying the latest machine learning techniques.

• Build and maintain a regression test pipeline in a distributed manner to efficiently validate new models and then evaluate their performance when they are deployed.