68 Jobs für Künstliche Intelligenz in Schweiz

Als der fünftgrösste Kanton der Schweiz mit rund 6000 Mitarbeitenden setzen wir uns bei der Kantonsverwaltung für das Gemeinwohl der Gesellschaft ein. Mit einer beeindruckenden Vielfalt an Leistungen betrifft unsere Arbeit alle Bereiche des Lebens, sei es Bildung, Wirtschaft, Recht, Sicherheit, Natur, Gesundheit, Bau, Kultur und Finanzen. Mit unserer sinnstiftenden Arbeit hinterlassen wir täglich einen kleinen Fussabdruck, da diese für über eine halbe Million Menschen relevant ist.

Die Staatskanzlei ist als Stabsstelle von Kantonsrat und Regierung eine zentrale Schaltstelle in der kantonalen Staatsverwaltung.

Wir suchen auf den 1. November 2025 oder nach Vereinbarung eine/n

Pensum: 80-100%

Arbeitsort: St.Gallen

• Du übernimmst die fachliche Leitung der Koordinationsstelle digitale Transformation und Künstliche Intelligenz (KI)
• Du bist ein zentraler Dreh- und Angelpunkt für die Themen digitale Transformation und KI im Kanton St.Gallen, stimmst verschiedenste Vorhaben aufeinander ab und koordinierst dich mit den Gemeinden und dem Bund
• Du koordinierst strategische Projekte im Bereich der digitalen Transformation und der KI und unterstützt deren erfolgreiche Umsetzung
• Du konzipierst Veranstaltungen und Anlässe, um das Wissen und die Fähigkeiten im Bereich der digitalen Transformation und KI zu fördern
• Du identifizierst neue Trends und Themen in der digitalen Transformation und KI und integrierst diese in die Organisation

• Masterabschluss in Wirtschaftsinformatik, Business Innovation, internationalen Beziehungen, Sozialwissenschaften oder in einem ähnlichen Bereich
• Erfahrung in der Leitung grösserer Projekte sowie ein ausgeprägtes Gespür für strategische Entwicklungen und technische Innovationen
• Begeisterung für verschiedene Themen rund um KI und die digitale Transformation
• Kenntnis des politischen Systems des Kantons St.Gallen und Verständnis für die Herausforderungen und Chancen der Zusammenarbeit über verschiedene staatliche Ebenen hinweg
• Kommunikationsstärke, strukturierte Arbeitsweisen, ganzheitliches Denken, analytische und konzeptionelle Fähigkeiten sowie Gestaltungswillen

• Eine spannende und vielseitige Tätigkeit in einem dynamischen Umfeld
• Die Möglichkeit, die digitale Zukunft im Kanton St.Gallen aktiv mitzugestalten
• Ein engagiertes Team und ein wertschätzendes Arbeitsklima
• Fortschrittliche Arbeitsbedingungen sowie attraktiver Arbeitsplatz im St.Galler Stiftsbezirk
• Vielfältige Möglichkeiten zur fachlichen und persönlichen Weiterentwicklung

Bereit für den nächsten Schritt? Wenn wir dein Interesse wecken konnten und du ein Teil des Teams sein möchtest, freuen wir uns auf deine Bewerbung.

Weitere Auskünfte unter:

Dr. Angela Eicher, Leiterin Politische Planung, Controlling und Führungsunterstützung, Tel

v.FISCHER INVESTAS ist eine Berner Institution. Seit 1873 kümmern wir uns ganzheitlich und kompetent um die Vermögenswerte unserer Kundinnen und Kunden. Dank unserer jahrzehntelangen Erfahrung sind wir heute eine führende Dienstleisterin in den Bereichen Vermögensverwaltung, Corporate Finance, Recht, Immobilien, Vorsorge und Family Office im Espace Mittelland. Mit der Individualität unserer Lösungen und der Exzellenz unserer Dienstleistungen setzen unsere rund 130 Mitarbeitenden den Branchenstandard – seit Generationen und für Generationen.

Zur Ergänzung unseres motivierten Teams suchen wir per sofort oder nach Vereinbarung eine:n
Projektleiter:in IT mit Schwerpunkt AI %)

Deine Aufgaben

• Gesamtverantwortung für die internen AI-basierten IT-Projekte
• Leitung und Koordination interdisziplinärer IT-Projekte im Bereich Digitalisierung und AI
• Analyse von Geschäftsprozessen und Identifikation von KI-Potenzialen
• Evaluation, Auswahl und Implementierung passender AI-Technologien in Zusammenarbeit mit Fachabteilungen und externen Partnern
• Stakeholder-Management (internes Management, IT-Dienstleister, Fachbereiche)
• Aufbau von KI-Standards und Know-how-Transfer innerhalb der Organisation
• Steuerung von Zeitplänen, Budgets und Qualitätszielen

Dein Profil

• Abgeschlossenes Studium in (Wirtschafts-)Informatik oder vergleichbare Ausbildung
• Mehrjährige Erfahrung in der Leitung von IT-Projekten, idealerweise mit AI-Bezug
• Fundierte Kenntnisse in Datenanalyse, Machine Learning und Automatisierungstechnologien
• Starkes unternehmerisches Denken, ausgeprägte Kommunikations- und Umsetzungsstärke
• Erfahrung im Finanzdienstleistungsumfeld von Vorteil

Das bieten wir dir

• Eine dynamische Unternehmenskultur mit flachen Hierarchien und kurzen Entscheidungswegen
• Grossen Gestaltungsspielraum und direkte Wirkung auf strategisch relevante Zukunftsprojekte
• Moderne Arbeitsumgebung und flexible Arbeitsmodelle (inkl. Home-Office)
• Attraktive Anstellungsbedingungen und gezielte Weiterbildungen im IT- und AI-Bereich
• Ein engagiertes Team, das Innovation lebt und sich auf deine Expertise freut

Bist du interssiert?

Dann freuen wir uns auf deine Bewerbung.

Werden Sie Teil unseres innovativen Teams und gestalten Sie durch Forschung, Lehre und Weiterbildung die Zukunft der Digitalisierung und künstlichen Intelligenz aktiv mit

Departement: School of Management and Law

Arbeitsbeginn: Per sofort oder nach Vereinbarung

Aufgaben

• Leitung und Durchführung von Forschungsprojekten im Bereich Digitalisierung und Künstliche Intelligenz. Sie können die Schwerpunkte der Themen aktiv mitgestalten. Beispiele für mögliche Themen sind Autonomous Agents, Agentic AI, Automatisierung mit Low-Code-Technologien und Hyperautomation sowie Prozessdigitalisierung.
• Akquise von Drittmitteln zur Finanzierung von Forschungsprojekten.
• Publikation von Forschungsarbeiten in wissenschaftlichen Zeitschriften und Konferenzen.
• Lehre im Bachelor und Master.
• Lehre in der Weiterbildung, gegebenfalls CAS-Leitung.

Profil

• Promotion in Wirtschaftsinformatik oder einem verwandten Bereich.
• Forschungserfahrung, nachgewiesen durch wissenschaftliche Publikationen.
• Erfahrung in der Akquise und Leitung von Drittmittelprojekten.
• Methodisch-didaktische Qualifikation / Erfahrung in der Lehre und Weiterbildung.
• Fundiertes Wissen und Forschungserfahrung im Themenfeld Digitalisierung und Künstliche Intelligenz.

Dafür stehen wir

Die ZHAW Zürcher Hochschule für Angewandte Wissenschaften ist mit über 14'000 Studierenden und über 11'000 Weiterbildungsteilnehmenden sowie mit rund 3'700 Mitarbeitenden eine der grössten Mehrsparten-Fachhochschulen der Schweiz.

Die ZHAW School of Management and Law (SML) ist mit rund 9500 Studierenden eine der grössten Business Schools der Schweiz. Sie ist als einzige Fachhochschule des Landes in renommierten Rankings der Wirtschaftszeitung «Financial Times» vertreten und AACSB, EQUIS sowie AMBA akkreditiert – Labels für hohe Qualitätsstandards in Lehre, Forschung und Weiterbildung. Die international anerkannten Bachelor- und Masterstudiengänge, kooperativen PhD-Programme sowie die zahlreichen Weiterbildungsangebote sind wissenschaftlich fundiert, interdisziplinär und praxisorientiert. Die SML unterhält zahlreiche Kooperationen mit über 190 ausgesuchten Partnerhochschulen weltweit.

Das Institut für Wirtschaftsinformatik (IWI) operiert an der Schnittstelle zwischen Betriebswirtschaft und Informatik und verfolgt das Ziel, die Innovationskraft von Gesellschaft und Wirtschaft zu steigern. Dabei ist unser Leitgedanke: «From Information to Innovation».

Die ZHAW setzt sich für geschlechtergemischte und diverse Teams ein, um Gleichstellung, Vielfalt und Innovation zu fördern.

Das bieten wir an

Wir bieten hochschulgerechte Arbeits- und Anstellungsbedingungen an und fördern aktiv die Personalentwicklung unserer Mitarbeitenden und Führungspersonen. Eine detaillierte Beschreibung der Vorteile ist auf der Webseite «Arbeiten an der ZHAW» zu finden. Hier die wichtigsten Eckpunkte:

• Arbeitskultur
• Work-Life-Balance
• Diversität und Inklusion
• Persönliche Entwicklung
• Ökologische, ökonomische und soziale Nachhaltigkeit an der ZHAW
• Betriebliches Gesundheitsmanagement
• Lohn und Vorsorge

Kontakt

Prof. Dr. Theresa Schmiedel

Leiterin Institut für Wirtschaftsinformatik

Dagmar Debrunner-Stachl

Recruiting Manager

Intrinsic is Alphabet's bet aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what's possible for industrial robotics in the near future – with software and data at the core.

Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.

As a Deep Learning Engineer, you will apply your strong skills in software engineering, deep learning, 3D computer vision to implement, optimize and deploy the perception capabilities for industrial robots. You will be instrumental in developing advanced AI models for tasks such as object detection, object pose estimation, 3D reconstruction, and grasping. Your work will enable robots to intelligently interact with their environment in real-world industrial settings, translating cutting-edge deep learning research into robust, deployable solutions that make industrial robotics more intelligent and accessible.

• Develop and implement robust deep learning models for 3D computer vision tasks, including object detection, object pose estimation, and 3D reconstruction.
• Optimize and deploy algorithms for reliable grasping and manipulation in complex industrial robotics environments.
• Translate advanced deep learning research and models into practical, production-ready solutions for physical robots.
• Enhance robot perception capabilities, enabling more complex and reliable interactions in dynamic manufacturing settings.
• Contribute to the design and implementation of core perception software skills within Intrinsic's platform.

• A Master's or PhD degree in Computer Science, Electrical Engineering, Robotics, or a closely related technical field
• 3-5 years of experience in AI, machine learning, computer vision, or robotics, with a strong focus on deep learning, including transformer based foundation models
• Proficiency in at least one modern deep learning framework (e.g., PyTorch, TensorFlow, JAX).
• Strong programming skills in Python and C++.
• Demonstrated experience with deep learning and the transformer architecture, along with at least one of the following topics: object detection, 6dof pose estimation, or 3D reconstruction.

• Expertise in transformer-based deep learning architectures for computer vision and robotics.
• Strong publication record at top-tier AI, Computer Vision, or Robotics conferences/journals.
• Hands-on experience deploying and testing AI models on physical robot hardware.
• Proficiency in CUDA for high-performance computing.
• Experience developing algorithms for robotic perception, grasping and/or manipulation.

At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic's policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.

If you have a disability or special need that requires accommodation, please contact us at: candidate-

100 % (by , or upon agreement)

The Artificial Intelligence and Machine Learning (AIML) lab headed by Prof. Dr. Damian Borth at the University of St.Gallen (HSG) is seeking candidates for PhD positions in Deep learning. The position aims to connect Remote Sensing to Weight Space Learning. Weight Space Learning is the groups new research direction, which was awarded a Google Research Scholar Award 2022 (Machine Learning and Data Mining). If you want to learn more about Weight Space Learning, you can visit the website of the recent ICLR workshop about this topic, co-organized by the AIML lab.

In this position you will design, implement, train, and evaluate deep neural networks and contribute to the varied activities in research and teaching including:

• You will work on your doctoral thesis in the area of Weight Space Learning aiming for remote sens-ing and earth observation downstream tasks.
• You will contribute to the current research activities at the AIML lab in the area of representation learning.
• You will publish in international, peer-reviewed conference proceedings and journals.
• You will support the teaching activities of the group, including Taing and the supervision of masters' and bachelors' theses.

Secondary tasks:

• You support the group in knowledge transfer with industry.
• Collaborate with other researchers in interdisciplinary projects.
• You assist the group in organizing workshops, seminars and conferences.
• You engage in outreach activities to promote research and increase the labs its visibility.
• You participate in grant writing and proposal development activities.

• You have a university-level master's degree in computer science, statistics, or related studies.
• You have a strong background in Machine Learning and Deep Learning.
• You are confident in the design, implementation, and training of deep neural networks, particularly Transformer architectures.
• You have a strong background in the programming language Python.
• You are experienced with Python and PyTorch deep learning framework.
• You have experience with the NVIDIA GPU platform (DGX is a plus) for large-scale DNN training.
• You have first evidence of publications in peer-reviewed conferences in the respective area.
• You have excellent written and verbal communication skills in English.

Your international mindset paired with your ambition to excel in research and teaching are core qualifications that you bring to our team and projects.

The chair of Artificial Intelligence and Machine Learning (AIML lab) is part of the Institute of Computer Science (ICS-HSG) at the University of St.Gallen. Our research focuses on representation learning through supervised and unsupervised approaches with applications to computer vision, remote sensing, or time-series data. You can find more details about our research In this position you can expect to collaborate within a group of highly motivated individuals in a high velocity research environment at one of the most beautiful places in Switzerland surrounded by the Lake Constance and the Swiss mountains.

We are looking forward to your online-application stating the job ID 1571

apply here

Further information on working at the HSG can be found here.

Prof. Dr. Damian Borth

Chair Artificial Intelligence

and Machine Learning

Angelika Gräfingholt

Office Prof. Dr. Damian Borth

«A place where knowledge is created» - As one of Europe's leading universities of economics and business administration, the University of St.Gallen (HSG), Switzerland, is committed to the education of over 10'000 students. The HSG is one of the largest employers in the region and provides an attractive and innovative environment for more than 3'500 researchers, educators and professional staff.

Specialist Diversity, Equality & Inclusion (m/w/d)

Diversity, Equality, Inclusion Services

50-80%

Services & Schools: Studentische/r Mitarbeiter/in im Generalsekretariat (m/w/d)

Generalsekretariat

10-50%

IT System Engineer (m/w/d)

IT Backend Services

80-100%

Intrinsic is Alphabet's bet aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what's possible for industrial robotics in the near future – with software and data at the core.

Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.

Role

As a Research Engineer in the Applied Research team, you conduct applied research and design innovative algorithms in the space of geometric computer vision and image/video/vision-centric foundation models for deployment in industrial robotics at scale. In this role you define processes and develop approaches in Deep Learning that mitigate the risks of hallucinations and improve accuracy and deploy algorithms on industrial robotics workcells to gauge sim-to-real transfer of models. As a Research Engineer at Intrinsic you provide input and guidance for the development and generation of synthetic data and annotations required for training foundation models at scale based on the identification of gaps in the sim-to-real transfer of models. You also work with Research partners and cross-disciplinary engineering teams to ideate new approaches and architectures to bring state of the art foundation models to real-world industrial applications. Constant learning and exploration of unfamiliar technologies is also part of this role.

How your work moves the mission forward

Skills
Your work can play a significant role in democratizing access to advanced AI skills to the average user in robotics and enhance the credibility of deploying AI models at scale in industrial settings. As part of your day-to-day work, you will:

• You are insightful and innovative, proactively identifying needs and bottlenecks based on customer problems and proposing practical solutions that are deployable in high throughput environments
• You serve as the nexus between the robotics team and our research partners—collaborating with them, providing engineering insights into research projects, and ideating practical next generation solutions
• You serve as an advisor to the engineering and other cross-functional teams providing critical guidance in terms of translating early (AI-powered) research capabilities into robust engineering capabilities in Flowstate (Intrinsic's software platform for robotics solutions)
• You continually keep abreast of the latest developments in deep learning, AI, machine learning, perception to ensure that Intrinsic can continually keep evolving its advanced capabilities over time
• document and develop the prototype fully so it can be shipped to external users.

In all the above, you will work closely with a sub-team within the R&D division, but will also frequently collaborate with other engineering, and product groups within Intrinsic.

Skills you will need to be successful

• Master's or PhD degree in Computer Science, Robotics, or a related technical field with a high degree of passion for robotics and foundation models and a strong inclination towards accelerating the deployment of such models in practical industrial manufacturing applications
• 3 years of experience in robotics software development or research (work on your PhD can count towards this)
• Proficiency programming in Python and at least one of the ML/DL frameworks such as PyTorch, Jax, and/or Tensorflow
• Knowledge of robotics perception or manipulation algorithms.
• Experience working with robot hardware or simulation environments.
• A team player with a product mindset, a willingness to learn, and apply oneself to delivering value in practical real-world problems

Skills that will differentiate your candidacy

• Advanced degree (Master's or PhD) in Robotics, Computer Science, or a related technical field.
• Expertise in deep learning, including transformer-based approaches for robotics, and other areas such as Learning from Demonstrations, Reinforcement learning
• Proven ability to apply robotics ML/AI research to real-world problems and demonstrate tangible impact.
• Experience generating or utilizing synthetic data for machine learning in robotics.
• Publications in relevant robotics conferences or journals.

At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic's policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.

If you have a disability or special need that requires accommodation, please contact us at: candidate-

Please apply only if you are already based in Switzerland and hold a valid work permit.

Martin Data Solutions
is an AI/ML company focused on applied machine learning, large language models (LLMs), and custom AI solutions. We collaborate with startups and enterprises to unlock the full potential of data-driven technologies.

Join Martin Data Solutions as a
Machine Learning / AI Engineer
and gain hands-on experience working directly with founder Benito Martin on cutting-edge AI projects to become an early-stage team leader.

Role Summary

In this role, you'll contribute to the
development, evaluation, and deployment
of LLM-powered applications. This opportunity is ideal for recent graduates (Bachelor's or Master's) or junior engineers eager to deepen their practical experience in machine learning and generative AI.

At , we live for the holidays. We are the European Travel-Tech leader in Dynamic Holiday Packages. With technology, we turn spontaneous thoughts into meaningful experiences, helping people travel the world.

Job Description

We are looking for a
Machine Learning Scientist
to join our team of around 1,700 people worldwide to help us power up the traveller's journey for millions of holidaymakers. If you are a motivated machine learning scientist who loves to work with challenging real-world problems on big data, keep reading, as you might be the perfect fit for this job.

The job in brief:

• Job Title
  -
  Machine Learning Scientist
• Working model
• hybrid in Chiasso
• Team
• you will join the
  Strategic Analytics team
  within the Technology department.
• Level
• Professional
• Location
• Chiasso, Switzerland
• Contract
• Permanent - full-time (36 h/week)

What your impact will be:

• Develop real-time machine learning solutions to deal with challenging real-world problems on big data
• Develop Dynamic Pricing algorithms based on reinforcement learning
• Collaborate in a cross-functional team, including machine learning scientists, software engineers, machine learning engineers, and project managers

Qualifications

Your expertise:

• A Ph.D. in Computer Science, Mathematics, or Physics, or a Master's degree with a minimum of 3 years of experience in the field of machine learning.
• Excellent knowledge of Supervised methods (Classification, Regression) and Unsupervised methods (Clustering, Feature Selection, Dimensionality Reduction)
• Experience in Reinforcement Learning (Multi-Armed Bandit and Markov Decision Process)
• Good knowledge of Python and SQL, with knowledge of the most important Python libraries for Machine Learning and Data Analysis (scikit-learn, Pandas, matplotlib, Numpy, Scipy, MLflow)
• Experience with Deep Learning (Recurrent Neural Networks, Convolutional Neural Networks, and Autoencoders)
• Experience with Keras (and TensorFlow) or PyTorch

Desirable:

• Able to find creative solutions to interesting problems
• Curious with a constant desire to learn and collaborate
• Previous experience with dynamic pricing algorithms

Additional Information

Perks of working with us
:

How we work together:

• An inclusive, friendly, and international environment (you'll be working with colleagues from +10 countries and over 48 nationalities)
• Shorter working week (36h as full time), with a half working day on Fridays
• Flexible start and end of the working day, with core hours from 10:00 to 4:00 pm
• Possibility to work from anywhere for a period of time per year defined according to local regulations

How we learn together
:

• Fri-Yays: half a day on Friday morning with a no-meeting mandate and dedicated to deep work, personal growth, learning and training and/or focus time.
• Professional and managerial skills development training paths, access to e-learning platforms such as O'reilly, Udemy, Coursera (depending on the department), and to our internal platform offering bespoke training content

Other perks
:

• 2 paid days off per year for volunteering purposes
• Occasional social events to foster connections among colleagues
• Travel industry discounts and flash exclusive staff fares
• We support our employees through life's significant moments with leave options (e.g parental responsibilities, marriages, bereavements, relocations, etc.) in line with local laws.

Wish you were here? We do, too

Selection process steps*
:

• HR interview
• 1st Manager Interview + Technical Interview (1 hour)
• 2nd Manager Interview (1 hour)
• Offer extended

(*Please note the process can slightly vary. The recruiter in charge will share more details when setting up the interview)

Our commitment to celebrate diversity and generate belonging

At the heart of our culture is a commitment to inclusion across race, gender, age, sexual orientation, religion, gender identity or expression, and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel.

Eligibility criteria:

By submitting your information and application, you confirm that you are legally authorised to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.

Generative AI is poised to transform fashion, but off-the-shelf models fail to deliver the product accuracy and brand consistency that enterprises require. We're a well-funded, Swiss-based startup looking for a senior engineer to tackle the core technical challenges of generative AI in a high-stakes visual domain.

Tasks

1. Develop and implement novel fine-tuning and model adaptation techniques to solve for character consistency and garment accuracy on top of foundational diffusion models.

2. Design and build robust evaluation pipelines from the ground up to quantitatively and qualitatively measure photorealism, texture fidelity, and product accuracy.

3. Own the R&D cycle for new generative features: rapidly prototype, test, and integrate the latest research and models from the community into our production environment.

4. Create workflows to support creativity and completely eliminate boring tasks for fashion powerhouses employees.

5. Collaborate directly with the founding team to architect and scale our AI inference stack for performance and reliability.

Requirements

• MSc or PhD in Computer Science or equivalent provable experience

• 2+ years of industry experience in Machine Learning, OR a relevant PhD with a strong portfolio of applied projects.

• Deep, hands-on experience with
  Generative AI
  , specifically
  Diffusion Models
  and their application.

• Expert proficiency in Python and PyTorch.

• Proven experience taking ML models from research/prototype to production.

• Solid software engineering fundamentals (Git, Docker, CI/CD).

Benefits

1. Autonomy & Impact:
   You won't be a ticket-taker. You'll have the agency to own the R&D lifecycle for core features, from hypothesis to production, and see your work ship.

2. Competitive Compensation & Equity:
   We offer a top-tier salary and a meaningful stock option plan. We want you to have a real stake in what you're building.

3. A Lean, Expert Team:
   You'll work directly with the founders in a fast-paced environment, free from corporate bureaucracy.

4. Hybrid Work Model:
   We think that being in the same room often boosts productivity, so we want you in the office at least 2 days per week. But we have no schedule. You decide when to work to maximsie your productivity.

If you're an engineer who is obsessed with the generative space and wants to apply your skills to hard problems with real-world impact, we would love to hear from you.

Our interview process is straightforward:

1. You share your github or papers + CV

2. A chat with the founder

3. A technical deep-dive