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Systems & Data Architect (IT&OT)

EthonAI is a Manufacturing Analytics System redefining operational excellence, improving product quality and process efficiency with real-time insights for factories.

Benefits:

  • Comprehensive compensation package with stock options to become a co-owner of EthonAI

  • On-site work is important, with significant scope for flexible schedules and partially remote work

  • A CHF 2’000 yearly bonus when you take two consecutive weeks of vacation

  • Flexible parental leave

  • Support for continued learning, such as online courses and conferences

Education Requirements:

  • Academic degree from a relevant field, such as Computer Science, Mechanical Engineering, or Electrical Engineering. A Master's degree for recent graduates or a Bachelor's backed with real-world experience.

Experience Requirements:

  • Worked with at least one of the following technologies: SCADA, MQTT, OPC UA, or REST

  • Enjoy working directly with customers to solve their problems

  • Working knowledge of Python and SQL

  • Demonstrated ability to use data to understand customer pain-points

Other Requirements:

  • Excellent communication skills in spoken and written English & German

Responsibilities:

  • Engage directly with customers, including visiting their factories, to understand and solve their pain points

  • Help integrate EthonAI's tools in factory IT&OT systems to provide proofs of value and additional insights to customers

  • Write custom data loaders for the EthonAI platform, in collaboration with engineers and customers

  • Work cross-functionally with the product, engineering and sales teams to provide the customers’ point of view, to help us perfect our platform and product offering

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Manufacturing Integration Engineer

EthonAI is a Manufacturing Analytics System redefining operational excellence, improving product quality and process efficiency with real-time insights for factories.

Benefits:

  • Comprehensive compensation package with stock options to become a co-owner of EthonAI

  • On-site work is important, with significant scope for flexible schedules and partially remote work

  • A CHF 2’000 yearly bonus when you take two consecutive weeks of vacation

  • Flexible parental leave

  • Support for continued learning, such as online courses and conferences

Education Requirements:

  • Academic degree from a relevant field, such as Computer Science, Mechanical Engineering, or Electrical Engineering. A Master's degree for recent graduates or a Bachelor's backed with real-world experience.

Experience Requirements:

  • Worked with at least one of the following technologies: SCADA, MQTT, OPC UA, or REST

  • Enjoy working directly with customers to solve their problems

  • Working knowledge of Python and SQL

  • Demonstrated ability to use data to understand customer pain-points

Other Requirements:

  • Excellent communication skills in spoken and written English & German

Responsibilities:

  • Engage directly with customers, including visiting their factories, to understand and solve their pain points

  • Help integrate EthonAI's tools in factory IT&OT systems to provide proofs of value and additional insights to customers

  • Write custom data loaders for the EthonAI platform, in collaboration with engineers and customers

  • Work cross-functionally with the product, engineering and sales teams to provide the customers’ point of view, to help us perfect our platform and product offering

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Lead Deployment Strategist

EthonAI is a Manufacturing Analytics System redefining operational excellence, improving product quality and process efficiency with real-time insights for factories.

Benefits:

  • Comprehensive compensation package with stock options to become a co-owner of EthonAI

  • On-site work is important, with significant scope for flexible schedules and partially remote work

  • A CHF 2’000 yearly bonus when you take two consecutive weeks of vacation

  • Flexible parental leave

  • Support for continued learning, such as online courses and conferences

Experience Requirements:

  • 5-7 years in a tech firm (e.g., Palantir), top-tier consultancy, or digital transformation role in a manufacturing company, with a proven track record of leading complex projects

  • Demonstrated ability to lead cross-functional teams and manage stakeholder relationships at all organizational levels

  • Strong problem-solving skills with the ability to analyze complex data and drive actionable insights

  • Willingness to travel internationally for customer engagements and on-site deployments (25 - 75%)

  • Deep understanding of manufacturing processes and challenges, with the ability to translate operational needs into technical solutions are a strong plus

Other Requirements:

  • Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical audiences

  • Fluency in German is a strong plus

Responsibilities:

  • Collaborate with senior stakeholders to identify operational challenges and align EthonAI's solutions with their strategic objectives

  • Oversee the end-to-end deployment of EthonAI's MAS, ensuring seamless integration with customers' existing systems and processes

  • Lead multidisciplinary teams to tailor solutions that meet specific customer needs

  • Conduct on-site visits to manufacturing facilities to gather insights, validate requirements, and ensure effective solution implementation

  • Develop and execute strategies to facilitate organizational change, ensuring successful adoption and long-term utilization of EthonAI's tools

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Database Engineer

EthonAI is a Manufacturing Analytics System redefining operational excellence, improving product quality and process efficiency with real-time insights for factories.

Benefits:

  • Comprehensive compensation package with stock options to become a co-owner of EthonAI

  • On-site work is important, with significant scope for flexible schedules and partially remote work

  • A CHF 2’000 yearly bonus when you take two consecutive weeks of vacation

  • Flexible parental leave

  • Support for continued learning, such as online courses and conferences

Education Requirements:

  • Academic degree from a relevant field, such as Computer Science, Mechanical Engineering, or Electrical Engineering. A Master's degree for recent graduates or a Bachelor's backed with real-world experience.

Experience Requirements:

  • Worked with relational databases (eg: PostgresDB) and you are familiar with their setup

  • Knowledge of time-series databases like TimescaleDB is a plus

  • Working knowledge of running databases in Docker and Kubernetes

  • Knowledge of Python to script and automate tasks

Other Requirements:

  • Excellent communication skills in spoken and written English

Responsibilities:

  • Design, develop, and optimize database schemas and infrastructure to support data-intensive operations and ensure scalability

  • Improve database performance and implement best practices for optimized database queries

  • Ensure high availability, reliability, and disaster recovery capabilities for critical database systems

  • Automate database migration, monitoring, and deployment processes to ensure efficient workflows and reduce manual overhead

  • Provide guidance with emerging database technologies and their deployment strategies

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Machine Learning Engineer

Daedalean develops certifiable AI-enhanced automation for aviation, offering solutions like Visual Traffic Detection, Landing Guidance, and PilotEye.

Benefits:

  • A team of experienced engineers and researchers, who joined us from most recognized companies and institutions.

  • Difficult and interesting problems to solve.

  • Pilot license subsidy.

  • Hybrid work setting.

  • Learning & Development budget: visit conferences of your choice.

Education Requirements:

  • Master’s or PhD degree in computer science, physics, mathematics or a related technical field.

Responsibilities:

  • Ensure that our neural networks perform strongly in all conditions, by combining work on data, model design, and training.

  • Ensure that this performance can be guaranteed, through careful design and verification activities, under our ML certification framework developed in collaboration with regulators.

  • Leverage transfer learning to massively increase the amount of training and evaluation data available, in particular through the use of simulation.

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DevOps Engineer

DeepJudge is an AI-powered search tool that helps law firms harness their institutional knowledge by providing fast and accurate access to documents.

Education Requirements:

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field.

Experience Requirements:

  • 3+ years of experience in a technical implementation role, preferably in enterprise software, legal technology, search, document management, or related AI sectors.

Responsibilities:

  • Manage complex cloud and on-premise deployments, setting up new deployments and optimizing existing deployments.

  • Collaborate with customers to understand their technical requirements, provide solutions to complex challenges, and implement these requirements in collaboration with our engineering team.

  • Plan, coordinate and execute implementation project plans from initiation through completion, ensuring timelines and customer expectations are met.

  • Provide technical support during the sales process, including answering and resolving technical queries and assisting with the completion of security questionnaires.

  • Assist in creating technical documentation, such as product manuals, FAQs, and integration guides. Stay abreast of industry trends, competitive landscape, and technological advancements in enterprise search and AI.

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Enterprise Account Director

DeepJudge is an AI-powered search tool that helps law firms harness their institutional knowledge by providing fast and accurate access to documents.

Experience Requirements:

  • 5+ years of experience in B2B sales. Sales in legaltech is a plus

Responsibilities:

  • Identify and engage potential clients, strategically qualifying leads to build a robust sales pipeline

  • Close business to exceed monthly, quarterly, and annual bookings objectives through effective sales strategies and client relationship management

  • Cultivate strong and enduring relationships with clients, uncovering growth opportunities and ensuring customer satisfaction

  • Work closely with the Marketing team to organize seminars, trade shows, and other events, ensuring alignment with sales objectives

  • Travel to both existing and prospective clients, fostering market share growth and effectively promoting and selling our tools Plan, coordinate and execute sales presentations to inform, persuade, educate and ultimately close business Learn, develop and evangelize new ways for DeepJudge to differentiate itself in the marketplace

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Director of Marketing and Growth (Zurich or Remote USA East Coast)

DeepJudge is an AI-powered search tool that helps law firms harness their institutional knowledge by providing fast and accurate access to documents.

Experience Requirements:

  • 7+ years of experience in marketing, of which at least 3 years must be in a managerial or leadership role in a B2B SaaS/software company.

Responsibilities:

  • Team Leadership: Set priorities and goals for the marketing team, coaching and mentoring team members to achieve success. Manage a hiring plan and grow the team according to plan and budget.

  • ABM Strategy: Collaborate with Sales to align ABM campaign priorities based on data and market insights. Oversee the development of targeted strategies for key accouts.

  • Growth Strategy: Define and execute a comprehensive marketing strategy to drive funnel and pipeline growth, customer acquisition, and brand awareness.

  • Cross-Functional Collaboration: Serve as the primary interface with Sales and Customer Success, ensuring alignment on campaign goals, priorities, and outcomes. Partner with Product to understand and refine messaging and positioning.

  • Campaign Oversight: Guide the team in executing focused and high-impact multichannel content marketing campaigns, spanning paid and earned media, PR, blogs, social, events, partners, etc. Data-Driven Decision Making: Use analytics and reporting to optimize marketing performance, measure ROI, and make informed decisions about budget allocation. Hands-On Execution: Contribute directly to strategic initiatives, such as creating campaign strategies, refining messaging, and launching key projects. This could include drafting a LinkedIn post one day and working on an overall target account analysis the next day. You will do whatever needs to be done without ego.

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Backend Engineer

DeepJudge is an AI-powered search tool that helps law firms harness their institutional knowledge by providing fast and accurate access to documents.

Education Requirements:

  • Bachelor's degree or Master’s Degree in Computer Science or a related field

Experience Requirements:

  • Proven experience as a Backend Software Engineer, preferably in a startup environment

Responsibilities:

  • Design and develop scalable and efficient software solutions for our product

  • Collaborate with cross-functional teams to define, design, and ship new features

  • Build, deploy, and maintain web applications using modern tools and frameworks

  • Optimize the performance and scalability of our applications

  • Conduct code reviews to ensure high-quality and maintainable code Participate in Agile development processes, including sprint planning, daily stand-ups, and retrospectives Stay up-to-date with the latest industry trends and technologies

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Full Stack Engineer

DeepJudge is an AI-powered search tool that helps law firms harness their institutional knowledge by providing fast and accurate access to documents.

Education Requirements:

  • Bachelor's degree or Master’s Degree in Computer Science or a related field

Experience Requirements:

  • Proven experience as a Full-Stack Software Engineer, preferably in a startup environment

Responsibilities:

  • Design and develop scalable and efficient software solutions for our product

  • Collaborate with cross-functional teams to define, design, and ship new features

  • Build, deploy, and maintain web applications using modern tools and frameworks

  • Optimize the performance and scalability of our applications

  • Conduct code reviews to ensure high-quality and maintainable code Participate in Agile development processes, including sprint planning, daily stand-ups, and retrospectives Stay up-to-date with the latest industry trends and technologies

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Content Marketing Associate (Zurich or Remote-USA East Coast)

DeepJudge is an AI-powered search tool that helps law firms harness their institutional knowledge by providing fast and accurate access to documents.

Education Requirements:

  • Bachelor’s degree in Marketing, Business, Communications, or a related field

Experience Requirements:

  • 1-3 years of marketing experience, preferably in the SaaS or technology sector

Responsibilities:

  • Implement our account-based marketing (ABM) strategy by creating targeted campaigns and content for our priority customer stakeholders

  • Develop positioning and messaging to clearly communicate the benefits and functionalities of our products to potential customers

  • Write and curate engaging content that can be disseminated efficiently to multiple channels such as our blog, social media, email newsletters, etc. These include whitepapers, case studies, and other content as needed

  • Manage and optimize social media accounts, including content scheduling, audience engagement, and targeted outreach to key accounts

  • Collaborate with the sales and product teams to organize campaigns around accounts as well as product initiatives, as they arise Use various marketing and sales automation tools to promote, track and monitor content campaigns at all stages of the marketing funnel Create, monitor and analyze marketing performance metrics Research and monitor the market to identify trends, opportunities and risks Plan and execute virtual and in-person events, webinars, and conferences

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DevOps Engineer (60-100%)

AI-powered protein engineering platform for faster, more efficient protein design and optimization.

Benefits:

  • Competitive salary

  • Generous equity stake in the company

  • Wide range of benefits and career progression opportunities

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ML Engineer – LLM Safety

Dynamo AI offers an enterprise platform for building compliant, secure, and private Gen AI models, with modules for evaluation, remediation, and deployment.

Experience Requirements:

  • Deep domain knowledge in LLM safety and/or evaluation techniques

  • Extensive experience in designing, implementing, and maintaining production-ready ML code

  • Comfortability with leading end-to-end projects and collaborating with researchers and engineers

  • Adaptability and flexibility

Responsibilities:

  • Work at the intersection of ML and Engineering

  • Perform rigorous testing of the product features

  • Push the envelope by implementing novel techniques

  • Work closely with our policy, product, and engineering teams

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ML Research Scientist — LLM Safety

Dynamo AI offers an enterprise platform for building compliant, secure, and private Gen AI models, with modules for evaluation, remediation, and deployment.

Experience Requirements:

  • Deep research domain knowledge in LLM safety techniques

  • Extensive research experience in aligning, training, and/or attacking multiple different types of LLM models and architectures

  • Adaptability and flexibility

Responsibilities:

  • Spearhead an LLM research domain with a focus on safety, quality, explainability, evaluation, and/or adversarial attacks

  • Push the envelope by developing novel techniques and research

  • Co-author papers, patents, and presentations

  • Lead research projects end-to-end

  • Deliver generalizable, scalable, and reproducible algorithms

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ML Research Engineer — Natural Language Processing

Dynamo AI offers an enterprise platform for building compliant, secure, and private Gen AI models, with modules for evaluation, remediation, and deployment.

Experience Requirements:

  • Deep domain knowledge in Natural Language Processing

  • Extensive experience in designing, implementing, and maintaining production-ready ML code

  • Past experience in leading an end-to-end NLP feature

  • Adaptability and flexibility

Responsibilities:

  • Be responsible of a vertical for Dynamo AI’s state-of-the-art safety guardrails

  • Perform rigorous testing of the product features

  • Push the envelope by implementing novel techniques

  • Work closely with our policy, product, and engineering teams

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ML Research Engineer — LLM Safety

Dynamo AI offers an enterprise platform for building compliant, secure, and private Gen AI models, with modules for evaluation, remediation, and deployment.

Experience Requirements:

  • Deep domain knowledge in LLM safety techniques

  • Extensive experience in designing, training, and implementing multiple different types of LLM models and architectures

  • Adaptability and flexibility

Responsibilities:

  • Own an LLM vertical with a focus on a specific safety domain

  • Generate high quality synthetic data, train LLMs, and conduct rigorous benchmarking

  • Deliver robust, scalable, and reproducible production code

  • Push the envelope by developing novel techniques and research

  • Co-author papers, patents, and presentations

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ML Engineer — LLM Privacy

Dynamo AI offers an enterprise platform for building compliant, secure, and private Gen AI models, with modules for evaluation, remediation, and deployment.

Experience Requirements:

  • Deep domain knowledge in privacy-preserving ML

  • Practical experience in techniques to attack or defend ML models

  • Extensive experience in implementing multiple different types of LLM models and architectures

  • Adaptability and flexibility

Responsibilities:

  • Own an ML privacy vertical

  • Collaborate with our engineering team to deliver real-world applications

  • Generate high quality synthetic training data, train LLMs, and conduct rigorous evaluation and benchmarking

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ML Engineer — LLM Evaluation

Dynamo AI offers an enterprise platform for building compliant, secure, and private Gen AI models, with modules for evaluation, remediation, and deployment.

Experience Requirements:

  • Domain knowledge in LLM evaluation and data curation techniques

  • Extensive experience in designing and implementing LLM benchmarking

  • Adaptability and flexibility

Responsibilities:

  • Own LLM evaluation processes and methods

  • Generate high quality synthetic data, curate labels, and conduct rigorous benchmarking

  • Deliver robust, scalable, and reproducible production code

  • Push the envelope by developing methods for benchmarking

  • Co-author papers, patents, and presentations

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ML Application Security Engineer

Dynamo AI offers an enterprise platform for building compliant, secure, and private Gen AI models, with modules for evaluation, remediation, and deployment.

Experience Requirements:

  • Significant experience deploying and securing production AI/ML infrastructure

  • Deep understanding of popular security posture management tools and practices

  • Strong familiarity with AI/ML concepts

  • Previous experience in security services setup or at a large SaaS security company is highly desirable

Responsibilities:

  • Work directly with customers to assess and enhance their AI/ML security posture

  • Design and implement architectural patterns and proof of concepts

  • Collaborate with cross-functional teams

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Senior Software Engineer – Front-End

Dynamo AI offers an enterprise platform for building compliant, secure, and private Gen AI models, with modules for evaluation, remediation, and deployment.

Experience Requirements:

  • 5+ years of experience developing user interfaces with TypeScript, React

  • Demonstrated experience in front-end architecture

  • Strong proficiency in translating design mockups

  • Experience with state management solutions

  • Solid understanding of accessibility standards

Responsibilities:

  • Architect, design, and develop front-end systems

  • Rapidly translate Figma mockups into fully functional user interfaces

  • Lead the design reviews

  • Optimize applications for speed, scalability, and cross-browser compatibility

  • Implement and manage state management solutions

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