70 Jobs für Computational Linguistics in Schweiz

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

Join our Data Science and Engineering team to build impactful Machine Learning solutions. Work on projects like fine-tuning models, recommendation systems, and forecasting. Optimize pipelines, improve MLOps, and ensure scalable, reliable systems. Ready to make a difference? We'd love to hear from you

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Apply now

Migros Online

Migros Online SA - Ecublens

Chemin du Dévent 11

1024 Ecublens

Calculate route

We welcome all applications, but can only consider applications submitted online. Applications submitted by post will be disposed of for data protection reasons and will not be returned.

An application letter or video is required for this position.

Main task

Foster a hands-on, collaborative environment with Data Analysts, Software Engineers, and Product Managers— turning exploratory insights into ML-ready assets.

Main task

Ensure that machine learning solutions are aligned with clear business objectives so that downstream model development delivers tangible value for customers and the company.

Main task

Deliver innovative solutions by fine-tuning state-of-the-art transformer and LLM, building robust recommendation systems, or tackling practical predictive tasks such as demand forecasting.

Main task

Working closely with product teams, you iterate quickly to ship high-quality services that create measurable business impact.

Main task

Drive continuous improvement of our machine learning pipelines by implementing robust training workflows and automation.

Main task

Advance our MLOps capabilities by refining deployment processes and leveraging modern CI/CD and model monitoring tools to ensure our production systems are reliable and scalable.

Hands-on experience delivering ML models end-to-end (from development to production)

Machine Learning, Computer Science, or a related field

Mandatory

You are proactive and curious, boldly challenge assumptions to drive progress, yet remain open to feedback and thrive on constructive dialogue.

Mandatory

Proficient in modern machine learning frameworks and libraries such as TensorFlow, PyTorch, XGBoost, and Hugging Face Transformers.

Desired

Familiarity with MLOps best practices (e.g. CI/CD pipelines, containerization, model monitoring) and a drive to continually improve our deployment processes for scalable and reproducible ML outcomes.

Desired

Hands-on experience deploying machine learning solutions on Cloud (GCP Vertex AI, AzureI). Knowledge of infrastructure-as-code tools is a plus.

Advantageous

Data engineering skills (such as building data pipelines and handling large datasets) are a plus, as they enable seamless integration of data into our machine learning workflows.

18-week maternity leave paid at 100% and 4-week paternity leave paid at 100%

Cell phone subscription at attractive rates

A company restaurant is available for employees to eat at preferential rates

Benefit from additional Cumulus points

We value your health and offer CHF 250.- per year when taking out a sports subscription

We value your development and participate in your growth and offer a budget for it

We stand for respectful cooperation on the same level

We value direct communication and involve our employees in the decision-making process

Katharina Höttermann

Talent Acquisition Partner

Submit application documents

For a complete application, we require your CV, certificates, and diplomas. A photo in the CV and a cover letter are not necessary. We are committed to equal opportunities for all applicants. We follow a standardized recruitment process. If this does not work for you, please mention it in your application documents.

Pre-selection of applications

We constantly check applications received, create a pre-selection and share it with the line manager for inspection. The decision as to whether the candidate has moved to the next step of the recruitment process or been eliminated is communicated by telephone or e-mail. Replies provided within three weeks

Interview with HR & specialist department

The interview is conducted virtually or on-site with the relevant person from HR and/or the specialist department. The main aim is to learn more about the personal and specialist skills of the candidate while giving both sides the opportunity to assess the cultural fit, both in the company as a whole and within the team. Reply provided: within three weeks

Getting to know the team

Whether or not someone fits into the team is an important factor for both the employer and the candidate when deciding whether to make an appointment. We therefore provide an opportunity for everyone to get to know each other in an informal atmosphere.

Offer & issuance of the contract (digital)

Once our oral job offer has been issued, the key contractual points are checked once again. Once an agreement has been reached, the issuance of the contract is commissioned and sent by e-mail for digital signature. Reply provided: within one week

Only direct applications will be considered for this position.

Company Description

Space Apps is an international hackathon that brings together individuals from various backgrounds to address challenges on Earth and in space using NASA data, tools, and technologies. The Space Apps Community aims to create a better world through innovation and collaboration.

Role Description

This is a volunteer, on-site role for a Machine Learning Specialist at
NASA Space Apps Challenge Zurich CH hackathon.
The Machine Learning Specialist will be responsible for implementing algorithms, developing models, analyzing data, and creating solutions using machine learning and deep learning techniques during the
hackathon 4-5th October 2025.

Qualifications

• Computer Science and Statistics skills
• Deep Learning and Machine Learning expertise
• Strong understanding of Algorithms
• Experience in data analysis and modeling
• Excellent problem-solving and analytical skills
• Ability to work collaboratively in a diverse team environment
• Previous experience in hackathons or data science competitions is a plus
• Bachelor's or Master's degree in Computer Science, Statistics, or related field

Registration:

Create account, choose location Zurich and fill short form to particiapte - onsite or fully virtual.

Company Description

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.

Are you interested in creating products that use machine learning and computer vision in novel and interactive ways? Are you looking to apply your expertise to produce transformative features like Live Text and Scribble? Using generative models to build highly visible products that are getting into the hands of hundreds of millions of users? We are an applied machine learning team distributed between Zurich in Switzerland and Cupertino in California , searching for a motivated research lead engineer to help develop the future of ML models to power products around text and freeform drawing recognition and generation. We work closely with diverse teams throughout Apple.

Description

As a member of the team you will have an impact by bringing innovative ideas to our next generation of products, applying modern machine learning methods to solve problems that matter. The work spans the entire product life cycle from project inception to shipping models on billions of devices. We are seeking an engineer who will be responsible for prototyping new features as well as contributing to the overall design and development of existing components. The ideal candidate should have experience in computer vision, speech recognition, deep learning, and/or other applications of machine learning systems

Minimum Qualifications

• PhD/MSc or equivalent experience in Computer Science, Computer Engineering or a closely related field
• Industry experience in building product features based on ML including generative models
• Experience with image processing, computer vision, speech recognition, or natural language processing
• Strong programming, debugging, and design skills

Preferred Qualifications

• Excellent problem solving, critical thinking, and interpersonal skills
• Ability to produce creative and innovative solutions to challenging problems
• Enthusiastic about building end-to-end experiences using machine learning
• Experience building deep learning toolkits with modern tools
• Detailed knowledge of one or more of the following programming languages: C++, C, Objective-C, or Swift
• Detailed knowledge of a common ML toolchain such as PyTorch, Tensorflow, or JAX
  Proficiency with Unix, iOS, or macOS development

Submit Resume

Company Description
Vitol is a leader in energy and commodities. Vitol produces, manages and delivers energy and commodities to consumers and industry worldwide. In addition to its primary business of trading, Vitol is invested in infrastructure globally, with $10+billion invested in long-term assets.

Vitol's customers include national oil companies, multinationals, leading industrial companies and utilities. Founded in Rotterdam in 1966, today Vitol serves its customers from some 40 offices worldwide. Revenues in 2023 were $400bn.

For more information:

Job Description
As our portfolio of work continues to grow, we are looking for an experienced Machine Learning Engineer to join our data science and machine learning team. The individual will work closely with the data and machine learning specialists, software engineers and commercial teams to deliver machine learning models and applications.

We work across the trading business, operations, and other support functions; so the individual will need to be comfortable working with a variety of stakeholders and technologies.

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow: from working with business stakeholders to help define the project, to data collation and processing, exploratory analysis, model selection and tuning, and implementation of production models.

The successful candidate will join a team of experienced, collaborative practitioners, who are (pragmatically) solving some of the most challenging and impactful problems the energy industry is facing; as well as pushing the boundaries around the 'art of the possible'.

Core Responsibilities Include

• Being an energetic and enthusiastic member of a team uniquely positioned to bring the power of data to bear on the inner workings of the energy industry
• Leading design, development, and deployment of machine learning systems, bringing their technical knowledge and experience into the team, and using this to create real solutions to real problems
• Collaborating with cross-functional technology teams to gather requirements and ensure the solutions align with business objectives
• Helping integrate the team's solutions (including generative AI) into existing systems and platforms to provide seamless user experiences and scale adoption
• Actively participating in code reviews, experiment design and tooling decisions to help drive the team's velocity and quality
• Helping build data and machine learning expertise within the business through knowledge sharing

Qualifications

• Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Ph.D. is a plus
• Fluency in Python with the ability to write clean, modular, well-documented code as well as a solid understanding of coding best practices
• 3-5+ years in industry developing and deploying machine learning models
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Transformers
• Familiarity with cloud platforms (AWS) and containerization technologies (Docker)
• Excellent problem-solving skills, ability to work independently and in a team
• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
• Understanding of machine learning fundamentals, including deep learning, generative models, NLP techniques, etc.

Desired Experience

• Experience in the energy or commodities trading industry, with knowledge of financial markets and trading concepts
• Experience integrating machine learning systems into interactive dashboards (e.g. Dash, Streamlit) and present use cases of machine learning to non-technical colleagues
• Time series modelling (both machine-learning and econometric approaches)
• Application of a wide range of ML methodologies to real life applications
• Enterprise software development (systems design, code review, version control, etc.)
• Data orchestrators (Airflow, Dagster) and cloud-based ETL/ELT pipelines
• Awareness of continuous integration and delivery concepts/technologies

Additional Information
Personal Characteristics

• A self-motivated individual who thrives on seeing the results of their work make an impact in the business
• Strong communication skills, both verbally and in writing
• Proven ability to be flexible, work hard, and a sense for the art of the possible
• Methodical, organized and with an attention to detail - in general, in experimental design, and in code
• Willingness to share their knowledge and learn from others
• An interest in learning about the commodities space
• Resourceful, able to think creatively and adapt in a dynamic environment
• Team player, with an open non-political style and a high level of integrity
• Desire to be a thought-partner in a fast-growing team, and make an impact at a business that sits at the heart of the world's energy flows

What We Offer

• Competitive salary and benefits package
• Large diversity of projects with real-world impacts on a truly global scale
• Entrepreneurial environment within a flat hierarchy, where great ideas come to life quickly
• Close collaboration with various business units across our key regions (eg. London, Singapore, Houston, Geneva)
• A highly motivated DS and ML team comprised of experienced individuals with a supportive attitude and great team spirit
• Being part of the energy transition through increased emphasis on renewable & alternative energy sources at a pivotal moment in the industry
• Strong management commitment to incorporating machine learning into the future of Vitol's operations

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.

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.

• 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).

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

Do you have a passion for building the best photo app experience in the world? iPhone is the most popular camera in the world Seamless integration of software and hardware has delivered magnificent experiences like Photos Memories and Portrait Mode. The Camera & Photos team develops privacy-respecting machine learning technologies to ship Apple Intelligence features and emotional experiences to hundreds of millions of users worldwide. We are looking for an experienced Machine Learning Engineer to join our team in Cambridge, UK, to be part of this mission.

Description

In this role, you will be working on ideating and developing privacy preserving machine learning, deep learning, and generative AI algorithms for Apple Intelligence Photos features. Candidates should have a proven track record that demonstrates innovation, strong collaboration, excellent interpersonal skills, and a passion for designing and developing high-quality software.

Minimum Qualifications

• Proven industry experience building machine learning and deep learning based software applications
• Strong machine learning and deep learning fundamentals
• Exceptional problem-solving and interpersonal skills
• Robust applied software methodology, process, and quality skills to take an ML algorithm from a prototype to a final production quality deployment

Preferred Qualifications

• Hands on experience with large language models (LLMs) and parameter efficient fine tuning of LLMs
• Solid understanding of inference speed up techniques such as speculative decoding and optimization of LLMs for human preferences
• Proven ability to excel in a fast-paced development team
  Proficiency with deep learning toolkits such as PyTorch

Lebenslauf senden