AI Jobs
Find the latest job opportunities in AI and tech
Find the latest job opportunities in AI and tech
Find the latest job opportunities in AI and tech
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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Research Engineer, Gemini Safety Engineering
Gemini is Google DeepMind's conversational AI, leveraging generative AI and multimodal capabilities to enhance user imagination, curiosity, and productivity.
Benefits:
enhanced maternity, paternity, adoption, and shared parental leave
private medical and dental insurance for yourself and any dependents
flexible working options
healthy food
on-site gym
Education Requirements:
Masters’ level experience in machine learning, or practical ML experience in an academic or industrial lab
Experience Requirements:
You have at least a year of experience working with deep learning and/or foundation models (whether from industry, academia, coursework, or personal projects).
You are adept at building codebases that support machine learning at scale.
You are familiar with ML / scientific libraries (e.g., JAX, TensorFlow, PyTorch, Numpy, Pandas), distributed computation, and large scale system design.
You are keen to address safety in foundational models, and are keen to have direct impact on Gemini models.
You are excited to work with strong contributors to make progress towards a shared ambitious goal
Other Requirements:
PhD in Computer Science or Machine Learning related field
Track record of publications at NeurIPS, ICLR, ICML, RL/DL, EMNLP, AAAI, UAI
Experience in areas such as Safety, Fairness and Alignment
Experience with LLMs training and inference
Experience with collaborating or leading an applied research project
Responsibilities:
Conduct research and experimentation in Gemini pre-training to make our models safer and helpful to all users.
Design and maintain high quality evaluation protocols to assess model behavior gaps and headroom related to safety and fairness.
Exploring data, reasoning and algorithmic solutions to make sure Gemini Models are safe, maximally helpful, and work for everyone.
Write high-quality code and infrastructure to enable fast experimentation on Gemini models.
Drive innovation and enhance understanding of Safety in Pre-training at scale
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Lead Software Engineer
ComputeRAM™ boosts embedded chip speed and energy efficiency by 100x using in-memory computing.
Benefits:
Be at the forefront of cutting-edge semiconductor technology development
Work in a collaborative, innovative, and dynamic startup culture
Opportunity for professional growth and career advancement
Competitive compensation package and benefits
Experience Requirements:
7+ years of experience
Other Requirements:
Experience in team management
Experience in development planning
Experience in embedded systems or compiler design
Experience in embedded systems/Linux/Windows driver design
Experience with high-performance computing, e.g. DirectML/OpenCL
Knowledge of Deep Learning
Knowledge of Tensorflow/Pytorch
Responsibilities:
Lead part of the software engineering team
Plan the development of our software
Design and supervise the implementation of drivers for embedded systems
Design and supervise the implementation of model compilers
Design and supervise the implementation of software API
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Internship: Design of a UVM-based RISC-V model for Digital Functional Verification
ComputeRAM™ boosts embedded chip speed and energy efficiency by 100x using in-memory computing.
Education Requirements:
electronic engineering, computer science, AI, or mathematics or related fields
Other Requirements:
Familiarity with programming languages like C and C++, Python
Knowledge and experience with RISC-V processor architecture and SystemVerilog/UVM is preferable
Responsibilities:
Design a customizable and extendable SystemVerilog UVM-based model of a RISC-V processor, along with the development of a UVM testbench environment to ensure comprehensive integration and functionality
Ensure the model can support the verification of CV32E20
Ensure the model can support custom ISA instructions
Identify and overcome challenges associated with interrupt handling within the RISC-V core
Integrate the developed SystemVerilog model into an RTL simulator environment
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Lead Memory Design Engineer
ComputeRAM™ boosts embedded chip speed and energy efficiency by 100x using in-memory computing.
Benefits:
Be at the forefront in cutting edge, low power semiconductor development
Work in a collaborative, dynamic, and flexible startup culture
Great opportunities for professional growth and career advancement
Education Requirements:
BS / MS in Electrical or Computer Engineering or equivalent
Experience Requirements:
7+ years of experience
Other Requirements:
Proven experience completing design cycles on delivered SRAM designs
Skill in bitcell stability analysis
Good understanding of high-performance and low power circuit designs with FinFet technologies
Proven experience as the designated responsible individual for a memory design, leading a small team of designers
Proficiency in scripting language: Python, Tcl
Experience in <22nm CMOS processes
Experience in Synopsys custom compiler
Independent, self-motivated, well-structured, creative
Good communication skills in English
Responsibilities:
Lead end to end design team for high-performance, low-power embedded SRAMs on advanced technologies
Memory compiler development, characterization, and verification
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Spontaneous Application
Daedalean builds autonomous piloting software for aircraft, using AI and computer vision.
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Machine Learning Engineer
Daedalean builds autonomous piloting software for aircraft, using AI and computer vision.
Benefits:
A team of experienced engineers and researchers
Difficult and interesting problems to solve
Test flights in the Swiss Alps for you to join
Pilot license subsidy
Hybrid work setting
Education Requirements:
Master’s or PhD degree in computer science, physics, mathematics or a related technical field
Experience Requirements:
Practical experience in deep learning for computer vision
Proven research skills in industrial and/or academic environments
Excellent programming skills, including a system programming language such as C++ or Rust
Responsibilities:
Ensure that our neural networks perform strongly in all conditions
Ensure that this performance can be guaranteed
Leverage transfer learning to massively increase the amount of training and evaluation data available
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Intern
Daedalean builds autonomous piloting software for aircraft, using AI and computer vision.
Benefits:
Strong impact: you will do work that matters
Strong team: work with and learn from a team unique for a start-up of our size
Unique product: safety-critical autonomous flight
Experience Requirements:
Strong hands-on C++, Go or Rust
Proven problem-solving skills
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C++ Certified Software Engineer
Daedalean builds autonomous piloting software for aircraft, using AI and computer vision.
Benefits:
A team of experienced engineers and researchers
Difficult and interesting problems to solve
Test flights in the Swiss Alps for you to join
Pilot license subsidy
Hybrid work setting
Experience Requirements:
at least 5 years of C++ software engineering experience and proven applied engineering skills
hands-on experience in software verification and writing requirement-based tests
willingness to write accurate software documentation
very good working knowledge of standard modern software development tools
demonstrated capability to constructively work in a team with continuous peer review activities
Responsibilities:
come up with algorithms and certified code to completely and reliably replace the human pilot
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(Staff) Systems Verification Engineer
Daedalean builds autonomous piloting software for aircraft, using AI and computer vision.
Benefits:
A team of experienced engineers and researchers
Difficult and interesting problems to solve
Test flights in the Swiss Alps for you to join
Pilot license subsidy
Hybrid work setting
Education Requirements:
A degree (BSc or MSc) in aerospace engineering or equivalent
Experience Requirements:
Experience in systems engineering (ARP4754A, DO-178C, DO-254)
Relevant experience in system verification
Working knowledge of EASA/FAA certification regulations and compliance demonstration
Responsibilities:
Lead and execute system verification activities
Establish and maintain verification and qualification plans and standards in compliance with aviation certification regulations and industry standards (ARP4754)
Define test cases to include test methodology, test setups, materials, procedures, requirements and acceptance criteria
Define requirements for test platform, coordinate setup and maintain the same
Coordinate the Environmental Qualification tests and liaise with external labs as required
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Energy Meteorologist
AI-powered weather forecasting for energy trading, offering high-accuracy predictions up to 31 days in advance.
Benefits:
Meaningful work
Fair compensation & serious equity
Time off (minimum 25 days paid vacation)
Company retreats (twice a year)
Personal development budget
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Senior Data Engineer
AI-powered weather forecasting for energy trading, offering high-accuracy predictions up to 31 days in advance.
Benefits:
Meaningful work
Fair compensation & serious equity
Time off (minimum 25 days paid vacation)
Company retreats (twice a year)
Personal development budget
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Come work with us! (Spontaneous Applications)
AI-powered weather forecasting for energy trading, offering high-accuracy predictions up to 31 days in advance.
Benefits:
Meaningful work
Fair compensation & serious equity
Time off (minimum 25 days paid vacation)
Company retreats (twice a year)
Personal development budget
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Pre-Sales Engineer
AI-powered weather forecasting for energy trading, offering high-accuracy predictions up to 31 days in advance.
Benefits:
Meaningful work
Fair compensation & serious equity
Time off (minimum 25 days paid vacation)
Company retreats (twice a year)
Personal development budget
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Senior Account Executive
AI-powered weather forecasting for energy trading, offering high-accuracy predictions up to 31 days in advance.
Benefits:
Meaningful work
Fair compensation & serious equity
Time off (minimum 25 days paid vacation)
Company retreats (twice a year)
Personal development budget
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Director of Partnerships
Squirro's AI-powered platform transforms unstructured data into actionable insights through semantic search, knowledge graphs, and generative AI capabilities, enhancing decision-making and workflow automation.
Benefits:
Be part of Squirro a multicultural and passionate company and be part of the force that shapes the fast-paced AI industry!
A rapidly growing company in with exciting and challenging tasks
An international environment with locations in Zurich, London, New York, Singapore.
Start-up like environment and culture, fast-paced and agile with quick decision-making and flat hierarchies.
Honest and open environment where team members at all levels can make a difference and have a say.
Experience Requirements:
Minimum 10 years of experience in strategic partnerships account management, with a proven track record of building and scaling SaaS partnerships from the ground up at least twice
Extensive experience working with major system integrators (e.g., Accenture, KPMG, Deloitte, PwC) and boutique consulting partners
Proven success in partnership or channel management roles, with demonstrated skills in building and scaling relationships
Strong knowledge of sales processes and partner engagement strategies
Exceptional communication and relationship-building abilities
Responsibilities:
Identify, recruit, and onboard new channel partners, managing the full partnership lifecycle
Ensure smooth onboarding processes and deliver comprehensive product and service training
Collaborate with partners to develop strategic business plans to achieve shared sales targets
Continuously assess partner performance and provide recommendations for improvement
Proactively resolve partner challenges, including sales conflicts, pricing issues, and any operational concerns
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Pre-sales Engineer EMEA
Squirro's AI-powered platform transforms unstructured data into actionable insights through semantic search, knowledge graphs, and generative AI capabilities, enhancing decision-making and workflow automation.
Benefits:
A start-up-like environment and culture, fast-paced and agile with quick decision-making
An environment where team members at all levels can make a difference
Opportunity to work on search and AI projects using cutting-edge technologies
Ongoing feedback is part of our working culture to grow and develop
We believe in life-long learning and supporting the development of our staff
Experience Requirements:
Client Interaction: At least 2 years of experience working directly with clients in a technical sales role, explaining complex solutions to both technical and non-technical audiences
Technical Skills: * 2+ years of experience in software development, technical consulting, or similar roles. * Strong programming skills, particularly in building web applications and APIs. * Experience with testing, debugging, and integrating software systems. * Comfortable managing Linux systems and writing shell scripts. * Experience with microservices architecture. * Experience in managing projects from start to finish, including working with data.
Ideally, you also have * Knowledge of search technologies like Elasticsearch. * Knowledge of and experience with Generative AI products and LLMs. * Experience working with unstructured data. * Familiarity with natural language processing or machine learning
Responsibilities:
Work with partners and customers on an operational level throughout the stages of solution qualification, implementation, and support
Implement innovative digital transformation projects, primarily in the Finance & Public Sectors
Collaborate with Business and Engineering team members on customer use cases to deliver the solution design with the aim of meeting or exceeding the business expectations
Provide technical expertise and run tests on the requirements and suitability of Squirro’s modules and features with regards to the solution scopes from customers and partners
Engage with technical users of all levels from Squirro’s ecosystem of partners and customers to provide technical guidance on the development, implementation and support of solution using Squirro’s modules
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Senior Machine Learning Engineer
LatticeFlow AI helps build trustworthy AI apps by addressing data quality, model performance, and regulatory compliance issues. It offers tools for validation, acceleration, and risk assessment.
Benefits:
Pursue an intellectually challenging job with a real impact
Gain in-depth knowledge and experience in how world-leading organizations solve real-world problems with AI.
Work at one of the world's hottest, fast-growing, deep tech AI start-ups
Work with domain experts and leaders in their field.
Participate in regular company events to bring together employees as one team across Europe & US.
Experience Requirements:
Solid theoretical and practical background in machine learning and computer science
Experience in training/fine-tuning language models
Ability to write clean and maintainable code
Ability to read and understand the latest research and excitement to implement it and try it out
Other Requirements:
Experience in presenting technical content to technical and non-technical audiences
Experience with industry applications of LLMs
Strong motivation, drive, and a desire to work in an energetic and fast-paced environment
Responsibilities:
Understand and work with the state-of-the-art LLM and SLM models.
Follow the latest research (e.g., ACL, ICML, etc.) on topics related to reliability, safety and evaluation.
Maintain and extend our open source tool evaluate LLM models on EU AI Act.
Work together with the product team to scope and deliver new product features.
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Senior Business Consultant
LatticeFlow AI helps build trustworthy AI apps by addressing data quality, model performance, and regulatory compliance issues. It offers tools for validation, acceleration, and risk assessment.
Benefits:
Pursue an intellectually challenging job with a real impact
Gain in-depth knowledge and experience in how world-leading organizations solve real-world problems with AI.
Work at one of the world's hottest, fast-growing, deep tech AI start-ups
Work with domain experts
Participate in regular company events to bring together employees as one team across Europe & US.
Education Requirements:
Bachelor’s degree required; advanced degree (MBA, MLS, or LLM) preferred
Experience Requirements:
5+ years in IT Governance, Risk & Compliance
Proven in enterprise risk management and client engagement
Other Requirements:
Strong presentation, communication, analytical, and problem-solving skills; self-supervised in the field
Familiarity with AI governance frameworks like ISO/IEC 42001:2023 and NIST’s AI Risk Management Framework
Responsibilities:
Define assessment requirements for internal and third-party AI systems with clients and partners.
Document business inputs for AI model validation, data governance, risk assessment, and compliance.
Coordinate with data science and engineering teams to profile AI models.
Stay updated on AI regulations, ethics, and compliance standards.
Represent LatticeFlow in workshops and training on AI compliance and risk management.
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Full Stack Engineer
AI-powered language learning app with conversational tutors, personalized curriculum, and real-time feedback. Supports 20+ languages.
Experience Requirements:
1+ years
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