AI Jobs

Benefits:

• competitive salaries

• equity stakes

• health coverage

• paid time off

• cutting-edge work facilities

Education Requirements:

• Pursuing MS or Ph.D. in Machine Learning, Computer Science, Applied Math, or related field

Experience Requirements:

• Experience implementing RL and IL methods focused on computer vision or robotics

• Hands-on experience integrating ML models onto a robotics platform

• Experience implementing and deploying robotic manipulation tasks

• Experience taking ML R&D into production

• Experience with computer vision systems

Other Requirements:

• Development with Python 3.6 or later

• Working knowledge of PyTorch and/or JAX

• Familiarity with ROS2

Responsibilities:

• Design, implement, and improve RL and IL algorithms

• Keep up to date with state-of-the-art RL/IL methodologies

• Identify, communicate, and drive promising research directions

• Improve existing implementations regarding sample efficiency and scalability

• Design RL/IL training and data-collection pipelines

Benefits:

• Gym/wellness reimbursement

• Education reimbursement

• Wellness Fridays

Education Requirements:

• Currently pursuing a bachelor’s degree in Business Administration, Marketing, Economics, or related field

Experience Requirements:

• Strong analytical skills and attention to detail

Other Requirements:

• Excellent communication and interpersonal skills

• Enthusiasm for learning

Responsibilities:

• Assist with planning and execution of marketing and branding strategies

• Participate in market analysis and lead generation activities

• Support product marketing initiatives and new product launches

• Contribute to business intelligence projects by collecting data

• Prepare presentations and reports to communicate findings

Benefits:

• Equity

• Company bonus or sales commissions/bonuses

• 401(k) plan

• Medical, dental, and vision benefits

• Wellness stipends

Education Requirements:

• Graduating in Spring 2027 or later, pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field

Experience Requirements:

• Passion for AI/ML, data science, and its real-world applications

• Experience coding in at least one industry-standard programming language (Python or R strongly preferred)

• Strong communication and problem-solving skills

• Interest in customer-facing work

Other Requirements:

• Growth mindset

• Ability to work with the spirit of a startup

Responsibilities:

• Spend 10–12 weeks working directly with customers and teams

• Write code, design solutions, and support real-world, high-stakes environments

• Blend software engineering skills with customer empathy and domain awareness

• Contribute to impactful and visible projects

Benefits:

• 25 days annual leave (pro rata)

• Dedicated mentor and engineering support

• Flexible working hours

• YuLife membership

• Training and learning resources

Education Requirements:

• Studying towards a degree in Computer Science or Software Engineering

• Enrolled on an accredited Year in Industry placement

Experience Requirements:

• Foundational knowledge of programming concepts

• Familiarity with web technologies (HTML, CSS, JavaScript)

• Experience with Git (Desirable)

• Interest in AI or knowledge-based systems

• Experience with JS/TS, React, or Node.js (Desirable)

Other Requirements:

• Genuine enthusiasm for learning

• Ability to manage time in a remote environment

• Collaborative team player

Responsibilities:

• Contribute to platform features using React and Node.js/Go

• Participate in agile processes (planning, standups, retros)

• Learn and apply DevOps and CI/CD practices

• Collaborate via code reviews and pair programming

• Work on documentation and testing for platform quality

Benefits:

• Learning & Upskilling reimbursement

• Weekly Friday Treats

• Friday Fun & Wellness sessions

• Quarterly Team Outings

Other Requirements:

• Strong analytical and problem-solving skills

• Familiarity with statistical techniques

• Experience analyzing structured/unstructured data

• Basic knowledge of data visualization tools (Excel, Tableau, Power BI)

• Excellent communication skills

Responsibilities:

• Explore and analyze large conversational datasets to identify patterns

• Perform correlation and statistical analysis to uncover insights

• Assist in the development of data labs reports with recommendations

• Collaborate with cross-functional teams to interpret analytical results

• Support data visualization efforts and create presentations for stakeholders

Benefits:

• Professional growth with continuous learning

• Flexible work environment

• Healthy work-life balance

• Collaborative and open communication

• Social activities through various hobby clubs

Responsibilities:

• Join the software development team

• Work on main applications targeting Turkey and international markets

Benefits:

• A payment of 2,120.00€

• Flexible working hours

• Hybrid working possibility

• Canteen

• Networking initiatives and Employee Resource Groups

Education Requirements:

• Enrolled Bachelor or Master student in Real Estate Management, Architecture, Urban Planning, Civil Engineering, or Sustainability

Experience Requirements:

• Strong analytical skills and structured thinking

• Basic understanding of project-related scheduling in construction and real estate

• Very good knowledge in Excel, AutoCAD and PowerPoint

Other Requirements:

• Fluent German and English

• Only mandatory internships (Pflichtpraktika) accepted

Responsibilities:

• Design office space use and planning hybrid workplace concepts

• Support collection and evaluation of ESG data

• Analyze costs for lease renewals or potential site relocations

• Support change management communication

• Analyze occupancy data and workplace trends

Education Requirements:

• Currently studying or graduated from a scientific or quantitative field (Preferably MS or PhD)

Experience Requirements:

• Extraordinary quantitative and data management skills

• Proficiency processing large datasets with statistical packages

• Software development experience in Python or C++

• Applied Experience with Machine Learning and Big Data technologies

Other Requirements:

• Innovative and flexible thinking

• Previous experience or course work in finance, business, economics, and/or biostatistics is a plus

Responsibilities:

• Develop AI trading strategies in various financial markets

• Develop AI analyses in genome and/or proteome data in the medical domain

• Work with large data sets and solve difficult, non-routine analysis problems

• Translate unstructured, complex business problems into Machine Learning framework

• Prototype, refine, deploy and monitor predictive models and decisions agents

Benefits:

• Visa sponsorship is available

• Mentorship from Research Scientists

Education Requirements:

• Currently enrolled in a PhD program in Computer Science or a related technical field

Experience Requirements:

• Experience in LLM, NLP, Machine Learning, or Data Management

• Proficiency in programming languages including C/C++, Java, Python or Javascript

Other Requirements:

• Available to work full time for 12 weeks during the summer

• Ability to design and execute a research agenda

• Contribution to research communities including publishing papers

• Returning to a degree program after completion of the internship

Responsibilities:

• Solve real-world problems at scale in LLM and NLP

• Focus on high-impact projects with mentors

• Participate in cutting-edge research

• Aim to publish papers at top-tier conferences

Benefits:

• Open communication

• Flat hierarchies

• Flexible working models

• Hybrid work model

• Potential for long-term relationship

Education Requirements:

• Student of natural sciences, mathematics, or computer science

• Excellent academic record

• Recent transcript of records

Experience Requirements:

• Knowledge of Python

• Basic computer science algorithms and data structures

• Software engineering principles

• Strong English-language communication skills

Other Requirements:

• Life-long curiosity-driven learner

• Growth mindset and commitment to excellence

• Ability to work in Germany (legally and logistically)

• Duration: 3–6 months

Responsibilities:

• Leverage Python scientific stack, TypeScript or C++

• Developing and/or testing novel deep learning models

• Building user-facing products and features

• Applying models to clients’ research questions

Benefits:

• 1-on-1 mentorship

• Hands-on training

• Team-building activities

• Interactive workshops

Education Requirements:

• Currently pursuing a PhD degree in Robotics, Computer Science, Machine Learning, or related field

• Expected graduation date before the end of 2027

Experience Requirements:

• Proficient in C++ and/or Python

• Strong understanding of machine learning approaches and algorithms

• Experience with NLP, computer vision, reconstruction algorithms, image generation, or multi-modal models

Other Requirements:

• Strong analytical and problem-solving skills

• Excellent communication and cross-functional team collaboration abilities

• Passion for innovation in the autonomous vehicle industry

• Available to work in the office five days a week

Responsibilities:

• Develop innovative machine learning solutions for autonomous driving

• Implement and optimize models for deployment across WeRide vehicles

• Analyze simulation and real-world road test data to identify issues

• Collaborate with cross-functional teams for model integration

Benefits:

• 1-on-1 mentorship

• Hands-on training

• Team-building activities

• Interactive workshops

Education Requirements:

• Pursuing a BS/MS degree in Computer Science, Software Engineering, Mathematics, Robotics or related field

• Expected graduation date before December 2027

Experience Requirements:

• Proficient in C++ and/or Python, Java, Go

• Good programming practices and test-driven development experience

Other Requirements:

• Strong analytical and problem-solving skills

• Excellent communication skills

• Passion for autonomous vehicle industry

• Available to work in the office five days a week

Responsibilities:

• Build real-time, in-vehicle systems for safe AV operation

• Design and develop new features to optimize computational performance

• Optimize for efficient model deployment and enhance machine learning workflow

• Develop high-performance GPU/CPU kernels

• Work with multiple algorithm teams to optimize algorithms

Benefits:

• 1-on-1 mentorship

• Hands-on training

• Team-building activities

• Interactive workshops

Education Requirements:

• BS/MS degree in Mechanical, Electrical, Automotive, or Computer Engineering

Experience Requirements:

• Proficient in Embedded C, C++

• Understanding of CAN/LIN/Ethernet communication protocols

• Knowledge of brake/steering/propulsion actuators of electric vehicles

• Experience with CAN tools like CANalyzer/CANoe

Other Requirements:

• Strong root-cause analysis skills

• Excellent communication abilities

• Passion for innovation

Responsibilities:

• Develop drive-by-wire functions and software with redundancy

• Perform electrical and software integration on AV platforms

• Ensure reliable operation of drive-by-wire actuators

• Troubleshoot and provide diagnostic support for field issues

Benefits:

• Potential full-time employment after internship

• Office in the heart of Zurich next to central station

• Company events, retreats, and offsites

• Significant impact on startup’s progress

Education Requirements:

• Currently enrolled in a Bachelor’s or Master’s degree in a relevant field

Other Requirements:

• Excellent communication skills in German and/or English

• Strong presentation skills

• Strong business acumen and flair for B2B consultative selling

• Exceptional negotiation and interpersonal skills

• Advanced MS Office or G-Suite skills

Responsibilities:

• Conduct market research to identify trends and competitive landscape

• Identify and qualify new potential sales opportunities and leads

• Assist in preparing presentations, proposals, and documentation

• Support product management by analyzing customer feedback in CRM

• Collaborate with strategy, marketing, and operations teams

Benefits:

• Learn from top-tier AI and ML engineers

• Potential for long-term cooperation after program

• Global project impact

• Health & Fitness benefits

• Integration budget

Education Requirements:

• Academic Background

Experience Requirements:

• Foundational Knowledge of machine learning

• Technical Skills in AI/ML domain

Other Requirements:

• Motivation to contribute to impactful projects

• Achievement in IT domain

Responsibilities:

• Planning, developing, and implementing machine learning solutions

• Contributing to applied AI solutions and real-world challenges

• Learning customer relationship management

• Participating in AI projects alongside experts

Benefits:

• Maternity/Paternity Leave

• PTO/Vacation policy

• Equity or Stock Options

• Company Social Outings

• Pet friendly

Other Requirements:

• Javascript

• Html

• Css

• Node.Js

• React

• Python

• Sql

• Nosql

• Git

• Restful Apis

Responsibilities:

• Writing code

• Testing

• Debugging

• Implementing solutions

• Providing technical support across the full technology stack

Benefits:

• PTO/Vacation policy

• Pet friendly workplace

• Maternity/Paternity Leave

• Company Social Outings

• Equity or Stock Options

Experience Requirements:

• Proficiency in SEO, email marketing, social media marketing, web analytics

• Experience with web site analysis, digital content management

Other Requirements:

• Knowledge of graphic design software like Canva

• Familiarity with HTML, CSS

• Understanding of A/B testing, CRM software, SEMrush

• Skills in Google Analytics

• Creativity, adaptability, strategic thinking

Responsibilities:

• Planning and executing digital marketing campaigns across various channels like SEO, email, social media, etc. to promote the platform and acquire new clients.

Benefits:

• Culture of innovation, collaboration, and excellence

• Working on complex AI challenges

• Flexibility to deliver in a way that works for you

• Tools, resources and development opportunities

• Hands on ownership of training and evaluation pipelines

Education Requirements:

• Current enrollment in or recent completion of a Master’s or PhD in Computer Science, AI, or Machine Learning

Experience Requirements:

• Experience with large language models (SFT, prompt engineering)

• Experience building machine learning pipelines or research infrastructure

• Experience improving model performance through retraining

• Proficiency in Python and machine learning frameworks

Other Requirements:

• Familiarity with cloud environments (AWS or Azure)

• Technical problem solving with LLMs

• Ability to work independently

• Strong written communication skills

• Ability to collaborate in a remote research environment

Responsibilities:

• Design and implement a lightweight SFT training pipeline

• Create new benchmarks to evaluate frontier models

• Analyze production models to identify improvements

• Improve model performance through targeted retraining

• Deploy improved models while maintaining core characteristics

Responsibilities:

• Engineering support

Responsibilities:

• Gen AI implementation for FP&A platform