29 Jobs für Ml Engineer in Schweiz

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.
**The Team and Role:**
Logitech's AI/ML Technology Development Team is driving the creation of groundbreaking video processing and machine learning solutions for consumer applications. We are seeking a highly motivated Data Engineer to play a pivotal role in the success of our AI/ML workflows by designing robust data systems and processes to support cutting-edge algorithm development.
In this role, you will focus on the efficient assembly, annotation, and organization of datasets that serve as the foundation for our AI/ML algorithms and video processing pipelines. By building scalable data infrastructure and integrating closely with AI/ML Engineers, you will help ensure that our AI solutions are trained and deployed with the highest-quality data available. Your contributions will enable the development and fine-tuning of world-class human and machine vision technologies, shaping the next generation of Logitech products.
**Your Contribution:**
Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you'll need for success at Logitech. In this role you will:
+ **Curate High-Quality Datasets:** Collaborate with stakeholders to gather large-scale, domain-relevant video and image datasets critical for AI/ML development.
+ **Develop Data Annotation Processes:** Establish workflows for effective data labeling (e.g., ground truths) to enable accurate training and testing of machine learning models.
+ **Catalog and Structure Data:** Implement and maintain metadata standards to organize datasets, ensuring easy access, traceability, and proper data governance for AI/ML usage.
+ **Integrate with AI/ML Workflows:** Partner with AI/ML Engineers to design data pipelines that support model training, optimization, and deployment on embedded platforms and host systems.
+ **Automate and Optimize Data Workflows:** Build tools and automated processes to enhance data ingestion, labeling, and cataloging for scalability and reliability.
+ **Ensure Data Quality:** Monitor and enforce data integrity, consistency, and security across the entire data lifecycle.
**Key Qualifications:**
For consideration, you must bring the following minimum skills and experiences to our team:
+ 3+ years of experience as a Data Engineer or in a related role focused on managing large-scale datasets, particularly for AI/ML or video processing applications.
+ Strong programming skills in Python and SQL for developing automated pipelines and data workflows.
+ Prior experience with data labeling tools and techniques (e.g., Labelbox, Supervisely, or custom solutions).
+ Knowledge of metadata design and database management to support efficient data access and cataloging.
+ Hands-on experience with cloud platforms such as AWS, GCP, or Azure for data processing and storage.
+ Solid understanding of AI/ML data requirements, including how labeled and structured data impacts algorithm performance.
+ Familiarity with version control and best practices for dataset management in collaborative environments.
**Preferred Qualifications:**
Education:
+ Bachelor's degree in Computer Science, Data Engineering, or a related discipline.
+ A Master's degree or specialization in Data Engineering, AI/ML, or Big Data is a plus.
#LI-SL1
Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.
Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don't meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!
We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can't wait to tell you more about them being that there are too many to list here and they vary based on location.
All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at for assistance and we will get back to you as soon as possible.

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.
**The Team and Role:**
Logitech's Technology Office defines and implements the company's technology innovation strategy. The group aims to bring state-of-the-art technologies and capabilities to Logitech's R&D and business groups, and enable breakthrough innovations.
The Technology Office hosts a team of world-class scientists and engineers with expertise in computer science, robotics, human-machine interaction, cognitive sciences, machine learning and artificial intelligence. The activities of the group, based at the EPFL Innovation Park, Lausanne (Switzerland), span spatial computing, biosensing, and immersive video solutions. We are looking for a talented AI/ML Engineer to join our explorations in Video AI at the edge, based on our own work and in collaboration with academic partners.
**Your Contribution:**
Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you'll need for success at Logitech. In this role you will:
+ Solve the challenges of Logitech's AI at the edge.
+ Continuously assess the state of the art in the field.
+ Contribute to the definition of the Technology Office's exploration agenda, fostering breakthrough innovation.
+ Be responsible for the entire model lifecycle: designing and training next-generation neural networks at scale, then mastering the optimization and porting techniques to deploy them on embedded systems.
+ Be working with a multidisciplinary team.
+ Champion best practices to turn cutting-edge research into robust and innovative solutions that define the future of human-machine interaction.
**Key Qualifications:**
For consideration, you must bring the following minimum skills and experiences to our team:
+ Min. 7 years of relevant work and/or academic experience in algorithm development (signal processing and AI/ML) with an emphasis on live video.
+ Hands-on experience in AI/ML techniques, incl. deep learning, computer vision, sensor fusion, and time series processing, from model architecture to model training, optimization (quantization, pruning, knowledge distillation, etc.) and porting.
+ Experience training and scaling large models on distributed computing clusters (e.g., AWS, GCP, or institutional HPC clusters).
+ Working experience in data collection, generation, augmentation and governance.Relevant experience in Software development best practices and embedded systems (hardware and software) architectures.
+ Ability to rapidly dive into new scientific fields, researching and applying state-of-the-art in specific applications under tight engineering constraints.
+ Ability to collaborate in a team spanning research and development.
+ Experience in scientific research and collaborations.
+ Keen interest in human-machine interactions.
+ Pragmatic, innovative, curious & autonomous
+ Organized and good communication skills.
**Preferred Qualifications:**
+ Design, training, evaluation and optimization of deep neural networks, e.g. CNNs, RNNs, GANs, GNNs, transformers, etc. SLM and VLM are a plus.
+ Knowledge of loss modeling, multimodal training, supervised, unsupervised and self-supervised learning.
+ Deep learning framework such as PyTorch, Tensorflow and TinyML, as well as ONNX models representation.
+ Familiarity with cloud computing platforms or HPC environments for large-scale model training.
+ General purpose programming languages, including Python, C/C++, C# and Java.
+ SW development on embedded platforms such as ARM and embedded AI. SDLC is a plus.
+ Authoring and peer review of scientific publications.
Education
+ MSc in Robotics, Computer Science, Computational Sciences, Machine Learning, Data Science or related sciences
+ PhD in related fields is a plus.
#LI-SL1
Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.
Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don't meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!
We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can't wait to tell you more about them being that there are too many to list here and they vary based on location.
All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at for assistance and we will get back to you as soon as possible.

Remote a

Do you feel like you’re just coding toy problems without making a real impact? Join us for a fulfilling career where you’ll tackle concretely defined, real-world challenges. At Imnoo, you’ll make a significant impact on automating manufacturing processes, gaining invaluable experience and deep satisfaction along the way!

(Middlemen such as recruiting agencies are not welcome and will be automatically disqualified) 

If you’re ready to be part of an exciting journey and make a real impact in the world of automation, join us at Imnoo and help shape manufacturing!

With joy and a pioneering spirit, we at Imnoo embrace the opportunities of automation! Become part of our team and bring your talent and expertise to help shape the future for our customers.

We’re looking for a Machine Learning – Python/Cloud Services Wizard who is ready to develop and roll out new and existing services.

Why Join Us?

• A clear path for career growth and advancement within the company.

• The opportunity to solve real and meaningful challenges.

• A dynamic and flexible work environment.

• Opportunities for professional development and certification support.

• A platform to share your ideas and opinions, where they are highly valued.

Your Playground

• Work on real/hands-on problems

• Develop efficient tools directly impacting the day-to-day life of our manufacturers

• Develop advanced feature extraction and data-processing solutions for managing CAD, 2D, and batch data (filtered/unfiltered) for machine learning

• Design, engineer, and take responsibility for cloud services, APIs, automated model training/deployment, and build tools.

• Own services end-to-end, from proof of concept to production-ready solutions.

• Gain in-depth knowledge of interconnected cloud, data, computer vision, and ML services across multiple languages and platforms.

• Maintain and further develop optimization/machine learning services.

• Enhance 2D/3D/CAD tools/solutions 

Our Offer  

• Learn a looot all the time!

• Work on tangible, real-world challenges that make an impact.

• Fully flexible work style.

• Snacks of your choice.

• Support for professional certifications and development.

• Exposure to a broad stack of machine learning and data analysis tools.

• Opportunities to grow your hard and soft skills within a diverse team.

• Collaboration in a dynamic startup environment with a motivated and young team.

• 25 days of vacation annually.

• Unlimited home office or offsite work flexibility.

• Excellent work-life balance with regular social team events.

Senior Software Engineer, AI/ML, LLM Modeling
_corporate_fare_ Google _place_ Zürich, Switzerland
**Mid**
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 5 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
+ 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
+ 3 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
+ 3 years of experience with Large Language Models.
**Preferred qualifications:**
+ Master's degree or PhD in Computer Science or related technical fields.
+ 5 years of experience with data structures or algorithms.
+ Experience developing accessible technologies.
+ Experience with reinforcement learning.
+ Experience in Deep Machine Learning, especially with Large Language Models.
**About the job**
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The team works on new ways to search, with a focus on LLM modeling. In this role, you will be building new ways to use LLMs in Search. You will develop new ways to do things and apply modeling techniques in the real world.
Our work revolves around training LLM models, reinforcement learning (RL), multi-step reasoning to various distillation techniques and contribute to different projects, over shorter timelines, our team is not tied to a specific user facing product. You will come up with new ideas, run experiments, new ways to do retrieval, tool calling, or generate fresh content and test them in user-facing products.
You will find new under-explored opportunities to apply LLMs, make them work in the real world, and collaborate with other teams.
In Google Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
**Responsibilities**
+ Propose new modeling ideas and test them in the real world.
+ Collect training data, and evaluate its quality.
+ Design and build evaluations.
+ Deploy models to production, measure and optimize their latency.
+ Run evaluations, analyze results and suggest modeling improvements.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless 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), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

**Strategic Research Operations**
Welcome to Nestlé Research, a global organization, with most of our passionate team located in Lausanne, Switzerland! Our work is powered by five specialized Nestlé Institutes and key strategic units. Here, we embrace fresh thinking and collaborate to create amazing solutions. How about taking a step inside our organization and discover the exciting research activities and expertise that drive us forward? Want to learn more ( !
At Nestlé Research, we place **people at the core** of everything we do, driven by a passion for innovation that inspires us to embrace change. Our commitment to **staying at the forefront of science** allows us to make a **meaningful impact on our world** , fostering a culture of **creativity and growth** . Join us in our mission **to inspire people** and **ignite innovation** as we work together to shape a better future.
**Position Snapshot:** **Your opportunity to** #breakthrough ( **with us!**
Location: Nestlé Research, Lausanne, Switzerland
Business Unit: Strategic Research Operations
Company: Société des Produits Nestlé S.A.
Act. Rate: Full-Time Act. Rate 100%
Type of contract: Permanent
**What we offer at Nestlé**
Exciting opportunities to develop your career your way
Flexible working arrangements - facilitating creativity and collaboration.
A culture of respect, with diversity, equity and inclusion at its core.
A dynamic international environment empowering you to learn, develop and grow.
Don't hesitate to connect with us during the recruitment process to learn more
**Position Summary**
Within our Computational Sciences department, as a **Specialist Data Science & AI Engineering** you will be responsible for delivering data science and AI engineering expertise to Nestlé Research projects. Your main objective will be to explore, design and develop innovative AI solutions based on Machine Learning, Deep Learning and Generative AI, for applications in Nestlé R&D . Your role will involve exploring new technologies and fostering a data-driven mindset in collaboration with other entities and building scientific expertise and reputation both inside and outside Nestlé.
+ You will work in cross-functional project teams in a research environment to define project objectives and deliverables, evaluate the need and identify the right technical approaches to solve business need.
+ Design and development of end-to-end data analysis pipelines, including ML and AI based approaches to solve real-world problems in an R&D context. These approaches include natural language processing, computer vision, time series analysis,.
+ Development of prototypes and APIs for ML/AI models, deploying them on cloud platforms, work closely with teams of developers, AI architects and data scientists.
+ Partner with other teams to enhance data quality and identify AI opportunities at Nestle Research
**What Will Make You Successful**
+ Master's or PhD in Data Science, Statistics, Computer Science, or a related field.
+ Significant professional experience in the practical application of a range of statistical modeling, ML, and GenAI techniques, preferably in a research context.
+ Familiarity with software engineering practices and development frameworks (Scrum, MLOps, Agile,.)
+ You have the following expertise and technical skills:
+ Solid foundations in data wrangling, analysis and modeling for small and large data (statistics, Machine Learning).
+ Strong knowledge of Python for the development of clean and maintainable code, and version control tools (Git)
+ Experience with at least one AI framework (Langchain, LLamaindex, Hystack,.)
+ Experience with at least one prototyping framework (Streamlit, Dash,.)
+ Comfortable working with cloud platforms and APIs.
+ Experience collaborating with external teams or driving project streams through others to deliver results
+ Excellent problem-solving and communication skills, strong stakeholder management skills
+ Able to speak English fluently
Exciting Opportunity Ahead! After submitting your application, you will receive an invitation to create a short video introduction, guided by a few specific questions. This is your chance to showcase your personality and passion.
We kindly ask that you submit your video within 7 days of your application to ensure we can assess your profile thoroughly. Please note that if this step is not completed within the specified time, we will assume you have chosen to withdraw your application
Nestlé is committed to the accessibility of its recruitment process. If you require an adaptation during the recruitment process, please do let us know so we can support you effectively. All information will be treated confidentially.
At Nestlé, we want to help shape a better and healthier world, inspire people to live healthier lives and deliver impact at a scale and pace that makes a difference. We do this by fostering a diverse, friendly, supportive, and collaborative environment, that creates positive disruption, embraces innovation, and empowers people and teams to win. We aim to hire friendly, respectful, inspiring people who care about the people's lives that we touch every single day.
Be a force for good. Join Nestlé and visit us on .
#nestlecareerswitzerland

Bring more to life.
Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?
At Genedata, one of Danaher's ( 15+ operating companies, our work saves lives - and we're all united by a shared commitment to innovate for tangible impact.
You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life.
The biopharmaceutical industry is undergoing a digitalization revolution, adopting data-driven R&D approaches to develop innovative therapies quicker. Genedata's market-leading enterprise software is fueling this revolution, enabling leading biopharma, biotech, and CRDMO companies worldwide to automate processes and leverage biopharma R&D data analytics so they can find breakthrough therapies faster. Join this digital transformation and help scientists around the world accelerate the pace of biopharma R&D.
Learn about the Danaher Business System ( which makes everything possible.
The Data Science Consultant - Precision Medicine you will be a key member of our dynamic team, empowered to have a significant impact on the continuous growth of our business. You will work with our partners in biopharma across the entire drug R&D value chain, achieving their vision of precision medicine through leveraging the full power of clinical, phenotype, molecular, and imaging data. This includes using your scientific and technical knowledge to solve real-world scientific challenges.
This position reports to the head of Customer Success Team and is part of Genedata Profiler, located in Basel.
In this role, you will have the opportunity to:
+ Play a key role in Genedata Profiler Implementation projects, as a scientific expert providing consulting, business process analysis, and solution design.
+ Scope and execute customer Data Science projects delivering results and presentations that meet the high standards our clients expect.
+ Build and maintain strong relationships with customers, serving as their primary contact for scientific and technical matters.
+ Collaborate with Sales to identify new opportunities and contribute to business growth.
+ Share insights from customer interactions with internal teams including Sales, SW-Development, and Product Management.
The essential requirements of the job include :
+ PhD or MS in bioinformatics, data sciences, health sciences, or related discipline, with strong foundations in both computational and life sciences.
+ Excellent communication and presentation skills, with the ability to engage diverse audiences and simplify complex scientific concepts.
+ Proficiency in scripting languages such as Python or R, and extensive experience analyzing multi-omics, biomarker, imaging, and clinical data - ideally within biopharma research.
+ Strong project management abilities, with a track record of delivering high-quality within agreed timelines.
+ Exceptional interpersonal skills and the ability to collaborate effectively within interdisciplinary teams, both internally and externally.
Travel, Motor Vehicle Record & Physical/Environment Requirements :
+ Regular travel within Europe (approximately once or twice per month).
+ Occasional travel to the United States.
It would be a plus if you also possess previous experience in:
+ Experience with biopharma R&D processes.
+ Familiarity with interactive data visualization tools such as R Shiny or Python Dash.
+ Experience identifying and developing new business opportunities in collaboration with commercial teams.
Genedata, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job.
Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
For more information, visit .

**The Position**
We advance science so that we all have more time with the people we love. A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche.
Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximizing these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
Within the CoE organization, the Data and Digital Catalyst (DDC) organization drives the modernization of our computational and data ecosystems and integration of digital technologies across Research and Early Development to enable our stakeholders, power data-driven science and accelerate decision-making.
The Engineering - AI Enablement group within DDC is accountable for. enabling AI! We do this across the board with our scientific and computational partners based on their goals. We help embed our AI strategy across our research organizations by providing employees with the tools and support needed to adopt AI into our daily work-helping us work smarter and enhancing our day-to-day work. We also build and deploy AI based solutions that reshape and transform business processes in order to unlock value at scale and optimise workflows. We also work on scaling up model training and inference, evaluating the quality of AI/ML models and output, and building impactful applications which accelerate the scientists doing the critical work of drug discovery and development. Partnering with colleagues to build, deploy and evolve a modern tech stack and utilities to enable our AI/ML and agentic efforts will be a key foundation to our success. Our aim is for everyone who can benefit from AI/ML to be able to leverage that utility where and when they need it, from data analysis to literature search to documentation writing. We are aiming for AI/ML to be an everyday utility. The team is cross-functional, impact driven, independent, and constantly evolving to meet the scientific needs.
**The Opportunity:**
As a machine learning engineer in AI Enablement, you will be working closely with folks that span the gamut from Computational Scientists, Research Scientists, AI/ML experts, Product leaders, DevOps, and everyone in between. You'll build, own, and constantly improve scalable AI/ML based systems that unlock the potential of our diverse scientific data, accelerating the discovery and development of life-changing treatments for patients.
+ Design, develop, and test robust, scalable, and maintainable AI/ML facing scientific web applications and backend systems.
+ Build tools to evaluate AI/ML model performance and establish new ways to understand AI quality.
+ Partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications.
+ Develop and maintain systems for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data-driven initiatives.
+ Implement, adopt, or evaluate new AI/ML algorithms and analytical techniques
+ Contribute to architectural decisions, code reviews, and the evolution of our development processes.
+ Be willing to span the stack and contribute where needed, even outside of your core area of expertise.
+ Stay up-to-date with emerging technologies and industry best practices and adopt a culture of continuous learning, collaboration, and curiosity.
**Who You Are:**
+ Bachelor's or Master's in Computer Science or similar technical field and 2+ years of professional experience in machine learning or similar relevant experience
+ Strong proficiency with AI/ML frameworks, libraries, and toolsets.
+ Expert knowledge of statistics, machine learning theory, and algorithms.
+ Strong knowledge of ML performance optimization, GPU best practices.
+ Experience with kubernetes, relational databases, NoSQL databases, or data lakes, and experience working on cloud-native architectures in public clouds (ideally AWS).
+ Proven understanding and application of engineering best practices.
+ Excellent communication skills and ability to build trusted partnerships with internal and external collaborators.
+ Ability to quickly acquire new technologies and programming languages and a passion for continuous learning.
**Preferred But Not Required:**
+ Experience with imaging or biological data and processes is a strong plus.
+ Experience working with scientists or in a research environment is advantageous.
+ Experience with workflow automation, GenAI, and/or agents is a plus.
This position requires onsite work 3 days per week.
The expected salary range for this position based on the primary location of South San Francisco, CA is $134,100-249,100 . Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits ( benefits are available for this posting.
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants ( .

**The Position**
We advance science so that we all have more time with the people we love. A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche.
Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximizing these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
Within the CoE organization, the Data and Digital Catalyst (DDC) organization drives the modernization of our computational and data ecosystems and integration of digital technologies across Research and Early Development to enable our stakeholders, power data-driven science and accelerate decision-making.
The Engineering - AI Enablement group within DDC is accountable for. enabling AI! We do this across the board with our scientific and computational partners based on their goals. We help embed our AI strategy across our research organizations by providing employees with the tools and support needed to adopt AI into our daily work-helping us work smarter and enhancing our day-to-day work. We also build and deploy AI based solutions that reshape and transform business processes in order to unlock value at scale and optimise workflows. We also work on scaling up model training and inference, evaluating the quality of AI/ML models and output, and building impactful applications which accelerate the scientists doing the critical work of drug discovery and development. Partnering with colleagues to build, deploy and evolve a modern tech stack and utilities to enable our AI/ML and agentic efforts will be a key foundation to our success. Our aim is for everyone who can benefit from AI/ML to be able to leverage that utility where and when they need it, from data analysis to literature search to documentation writing. We are aiming for AI/ML to be an everyday utility. The team is cross-functional, impact driven, independent, and constantly evolving to meet the scientific needs.
**The Opportunity:**
As a machine learning engineer in AI Enablement, you will be working closely with folks that span the gamut from Computational Scientists, Research Scientists, AI/ML experts, Product leaders, DevOps, and everyone in between. You'll build, own, and constantly improve scalable AI/ML based systems that unlock the potential of our diverse scientific data, accelerating the discovery and development of life-changing treatments for patients.
+ Design, develop, and test robust, scalable, and maintainable AI/ML facing scientific web applications and backend systems.
+ Build tools to evaluate AI/ML model performance and establish new ways to understand AI quality.
+ Partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications.
+ Develop and maintain systems for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data-driven initiatives.
+ Implement, adopt, or evaluate new AI/ML algorithms and analytical techniques
+ Contribute to architectural decisions, code reviews, and the evolution of our development processes.
+ Be willing to span the stack and contribute where needed, even outside of your core area of expertise.
+ Stay up-to-date with emerging technologies and industry best practices and adopt a culture of continuous learning, collaboration, and curiosity.
**Who You Are:**
+ Bachelor's or Master's in Computer Science or similar technical field and 4+ years of professional experience in machine learning engineering roles
+ Strong proficiency with AI/ML frameworks, libraries, and toolsets.
+ Expert knowledge of statistics, machine learning theory, and algorithms.
+ Strong knowledge of ML performance optimization, GPU best practices.
+ Experience with kubernetes, relational databases, NoSQL databases, or data lakes, and experience working on cloud-native architectures in public clouds (ideally AWS).
+ Proven understanding and application of engineering best practices.
+ Excellent communication skills and ability to build trusted partnerships with internal and external collaborators.
+ Ability to quickly acquire new technologies and programming languages and a passion for continuous learning.
**Preferred But Not Required:**
+ Experience with imaging or biological data and processes is a strong plus.
+ Experience working with scientists or in a research environment is advantageous.
+ Experience with workflow automation, GenAI, and/or agents is a plus.
This position requires onsite work 3 days per week.
The expected salary range for this position based on the primary location of California is $147,500-273,900 . Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits ( benefits are available for this posting.
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants ( .

**The Position**
We advance science so that we all have more time with the people we love. A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche.
Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximizing these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
Within the CoE organization, the Data and Digital Catalyst (DDC) organization drives the modernization of our computational and data ecosystems and integration of digital technologies across Research and Early Development to enable our stakeholders, power data-driven science and accelerate decision-making.
The Engineering - AI Enablement group within DDC is accountable for. enabling AI! We do this across the board with our scientific and computational partners based on their goals. We help embed our AI strategy across our research organizations by providing employees with the tools and support needed to adopt AI into our daily work-helping us work smarter and enhancing our day-to-day work. We also build and deploy AI based solutions that reshape and transform business processes in order to unlock value at scale and optimise workflows. We also work on scaling up model training and inference, evaluating the quality of AI/ML models and output, and building impactful applications which accelerate the scientists doing the critical work of drug discovery and development. Partnering with colleagues to build, deploy and evolve a modern tech stack and utilities to enable our AI/ML and agentic efforts will be a key foundation to our success. Our aim is for everyone who can benefit from AI/ML to be able to leverage that utility where and when they need it, from data analysis to literature search to documentation writing. We are aiming for AI/ML to be an everyday utility. The team is cross-functional, impact driven, independent, and constantly evolving to meet the scientific needs.
**The Opportunity:**
As a machine learning engineer in AI Enablement, you will be working closely with folks that span the gamut from Computational Scientists, Research Scientists, AI/ML experts, Product leaders, DevOps, and everyone in between. You'll build, own, and constantly improve scalable AI/ML based systems that unlock the potential of our diverse scientific data, accelerating the discovery and development of life-changing treatments for patients.
+ Design, develop, and test robust, scalable, and maintainable AI/ML facing scientific web applications and backend systems.
+ Build tools to evaluate AI/ML model performance and establish new ways to understand AI quality.
+ Partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications.
+ Develop and maintain systems for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data-driven initiatives.
+ Implement, adopt, or evaluate new AI/ML algorithms and analytical techniques
+ Contribute to architectural decisions, code reviews, and the evolution of our development processes.
+ Be willing to span the stack and contribute where needed, even outside of your core area of expertise.
+ Stay up-to-date with emerging technologies and industry best practices and adopt a culture of continuous learning, collaboration, and curiosity.
**Who You Are:**
+ Master's or Ph.D. in Computer Science or similar technical field and 6+ years of professional experience in machine learning engineering roles (Principal Machine Learning Engineer); 12+ years (Senior Principal Machine Learning Engineer).
+ Strong proficiency with AI/ML frameworks, libraries, and toolsets.
+ Expert knowledge of statistics, machine learning theory, and algorithms.
+ Strong knowledge of ML performance optimization, GPU best practices.
+ Experience with kubernetes, relational databases, NoSQL databases, or data lakes, and experience working on cloud-native architectures in public clouds (ideally AWS).
+ Proven understanding and application of engineering best practices.
+ Excellent communication skills and ability to build trusted partnerships with internal and external collaborators.
+ Ability to quickly acquire new technologies and programming languages and a passion for continuous learning.
**Preferred But Not Required:**
+ Experience with imaging or biological data and processes is a strong plus.
+ Experience working with scientists or in a research environment is advantageous.
+ Experience with workflow automation, GenAI, and/or agents is a plus.
This position requires onsite work 3 days per week.
The expected salary range for this position based on the primary location of California is $176,400.00-$27,600.00 (Princial MLE) and 199,700-370,900 (Senior Principal MLE). Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits ( benefits are available for this posting.
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants ( .