[{"_1":2,"_92":-5,"_93":-5},"loaderData",{"_3":4,"_9":10},"root",{"_5":6,"_7":8},"url","http://nextleveljobs.eu/companies/pinterest","savedJobIds",[],"routes/companies_.$companyId._index",{"_11":12,"_13":14,"_90":91},"company","Pinterest","jobs",[15,70],{"_16":17,"_11":18,"_19":20,"_21":22,"_23":24,"_25":-5,"_26":27,"_28":27,"_29":30,"_31":32,"_33":-5,"_34":35,"_36":37,"_38":37,"_39":40,"_41":42,"_43":44,"_45":46,"_47":48,"_49":20,"_50":44,"_51":52,"_53":37,"_54":55,"_56":44,"_57":58,"_59":60,"_64":65,"_66":67,"_68":69},"id","69b59686f1519f7399c1cfaf","pinterest","remoteId","Pinterest-7449164","title","Staff Software Engineer","link","https://www.pinterestcareers.com/jobs/?gh_jid=7449164","keywords","created",1773332349,"found","lastSeen",1773539983,"location","Zurich, CH","locations","locationId","66144cb34b4943805455a624","remote",false,"allRemote","description","<div class="content-intro">About Pinterest:\nMillions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.\nDiscover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the <a href="https://www.pinterestcareers.com/our-life/pinflex/">flexibility</a> to do your best work. Creating a career you love? It’s Possible.\nAt Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.\nThrough our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process <a href="https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/">here</a>.</div>Pinterest operates at a massive scale, serving 500+ million users globally with billions of requests daily. Our Cloud Platform team owns the foundational infrastructure technology that powers Pinterest's entire ecosystem. We're building PinCompute, our next-generation Kubernetes-based platform that will eventually run all of Pinterest's workloads and services. This platform represents a multi-year transformation of how we build, deploy, and operate services at Pinterest scale.\nWe're looking for an exceptional  Staff Software Engineer to lead the technical strategy and execution of our cloud infrastructure initiatives. You'll shape how Pinterest engineers build and deploy services, driving innovation in areas like container orchestration, service mesh, developer experience, and cloud-native architectures at Internet scale. \nWhat you'll do:\n<ul>\n<li>Define and drive the multi-year technical strategy for Pinterest's Cloud Infrastructure platform, focusing on our Kubernetes-based PinCompute platform that hosts thousands of services and petabytes of data.</li>\n<li>Lead the design and implementation of complex, cross-team infrastructure initiatives including service mesh adoption, multi-region architectures, and developer platform capabilities.</li>\n<li>Partner with teams across Pinterest to modernize our infrastructure stack, improving developer velocity while reducing operational complexity and costs.</li>\n<li>Architect solutions for critical infrastructure challenges including auto-scaling, resource optimization, traffic management, and service reliability at Pinterest scale.</li>\n<li>Drive adoption of cloud-native patterns and technologies across the engineering organization, establishing best practices and reference architectures.</li>\n<li>Provide technical leadership during critical incidents and architect solutions to prevent recurrence.</li>\n<li>Influence the broader Kubernetes and cloud-native community through open source contributions and conference presentations.</li>\n<li>Mentor senior engineers across multiple teams, developing the next generation of infrastructure leaders. </li>\n</ul>\nWhat we're looking for:\n<ul>\n<li>7+ years of experience building and operating large-scale production infrastructure.</li>\n<li>Expertise with multi-tenant cluster orchestration systems such as Kubernetes, container orchestration, and cloud-native architectures is beneficial.</li>\n<li>Proven track record of leading multi-year infrastructure transformations at internet-scale companies (billions of requests/day, thousands of services).</li>\n<li>Background in service mesh technologies and traffic management at scale.</li>\n<li>Expertise in infrastructure-as-code, GitOps, and modern CI/CD practices.</li>\n<li>Experience building developer platforms and tools that improve engineering productivity across hundreds of engineers.</li>\n<li>Proficiency in C++, Go, or Java, with ability to contribute to infrastructure codebases.</li>\n<li>Track record of driving cross-organizational technical initiatives with measurable business impact.</li>\n<li>Bachelor's/Master's degree in Computer Science or equivalent experience.</li>\n</ul>\n Relocation Statement:\n<ul>\n<li> This position is not eligible for relocation assistance. Visit our<a href="https://www.pinterestcareers.com/pinflex/"> PinFlex</a> page to learn more about our working model.</li>\n</ul>\n In-Office Requirement Statement:\n<ul>\n<li>We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.</li>\n<li>This role will need to be in the office for in-person collaboration 1-2 times per week and therefore needs to be in a commutable distance from one of the following offices: Zurich.</li>\n</ul>\n \n#LI-HYBRID\n#LI-JD1<div class="content-conclusion">Our Commitment to Inclusion:\n<div>Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete <a href="https://forms.gle/sS24D4WboEKUZMQK6">this form</a> for support.\n<div> </div>\n</div></div>","seniorityLevel","staff","salary","","countryCode","ch","city","Zurich","companyRemoteId","cookieId","indexed",true,"unindexed","aiDescription","

Requirements:

7+ years of experience building and operating large-scale production infrastructure.
Expertise with multi-tenant cluster orchestration systems such as Kubernetes, container orchestration, and cloud-native architectures is beneficial.
Proven track record of leading multi-year infrastructure transformations at internet-scale companies (billions of requests/day, thousands of services).
Background in service mesh technologies and traffic management at scale.
Expertise in infrastructure-as-code, GitOps, and modern CI/CD practices.
Experience building developer platforms and tools that improve engineering productivity across hundreds of engineers.
Proficiency in C++, Go, or Java, with ability to contribute to infrastructure codebases.
Track record of driving cross-organizational technical initiatives with measurable business impact.
Bachelor's/Master's degree in Computer Science or equivalent experience.

\n\n

What you'll be doing:

Define and drive the multi-year technical strategy for Pinterest's Cloud Infrastructure platform, focusing on our Kubernetes-based PinCompute platform that hosts thousands of services and petabytes of data.
Lead the design and implementation of complex, cross-team infrastructure initiatives including service mesh adoption, multi-region architectures, and developer platform capabilities.
Partner with teams across Pinterest to modernize our infrastructure stack, improving developer velocity while reducing operational complexity and costs.
Architect solutions for critical infrastructure challenges including auto-scaling, resource optimization, traffic management, and service reliability at Pinterest scale.
Drive adoption of cloud-native patterns and technologies across the engineering organization, establishing best practices and reference architectures.
Provide technical leadership during critical incidents and architect solutions to prevent recurrence.
Influence the broader Kubernetes and cloud-native community through open source contributions and conference presentations.
Mentor senior engineers across multiple teams, developing the next generation of infrastructure leaders.

\n\n

Nice to haves:

Expertise with multi-tenant cluster orchestration systems such as Kubernetes, container orchestration, and cloud-native architectures is beneficial.

\n\n

Perks and benefits:

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
This role will need to be in the office for in-person collaboration 1-2 times per week and therefore needs to be in a commutable distance from one of the following offices: Zurich.

","category","stack","backend","techStack",[61,62,63],"golang","java","kubernetes","cities",[48],"countryCodes",[46],"locationIds",[35],{"_16":71,"_11":18,"_19":72,"_21":73,"_23":74,"_25":-5,"_26":75,"_28":75,"_29":30,"_31":76,"_33":-5,"_34":77,"_36":37,"_38":37,"_39":78,"_41":42,"_43":44,"_45":79,"_47":80,"_49":72,"_50":44,"_51":52,"_53":37,"_54":81,"_56":44,"_57":82,"_59":83,"_64":87,"_66":88,"_68":89},"69b59686f1519f7399c1cfae","Pinterest-7681666","Machine Learning Engineer II","https://www.pinterestcareers.com/jobs/?gh_jid=7681666",1773222142,"Dublin, IE","65d7b701ed9a5888a0b7d65e","<div class="content-intro">About Pinterest:\nMillions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.\nDiscover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the <a href="https://www.pinterestcareers.com/our-life/pinflex/">flexibility</a> to do your best work. Creating a career you love? It’s Possible.\nAt Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.\nThrough our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process <a href="https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/">here</a>.</div>We’re looking for a machine learning engineer II in our Growth Platform engineering group. You’ll join a small and focussed team who will help us to understand our users better so we can drive engagement and growth, and to improve their user experience.\n \nWhat you'll do:\n<ul>\n<li>Develop and implement ML models to improve user targeting and personalization for growth initiatives</li>\n<li>Design and build scalable ML pipelines for data processing, model training, and deployment</li>\n<li>Collaborate with cross-functional teams to identify potential ML solutions for growth opportunities</li>\n<li>Conduct A/B tests to evaluate the performance of ML models and optimize their impact on key growth metrics</li>\n<li>Analyze large datasets to extract insights and inform decision-making for user acquisition and retention strategies</li>\n<li>Contribute to the development of our ML infrastructure, ensuring it can support rapid experimentation and deployment</li>\n<li>Stay up-to-date with the latest advancements in ML and recommend new techniques to enhance our growth efforts</li>\n<li>Participate in code reviews and collaborate with team members as needed</li>\n</ul>\n \nWhat we're looking for:\n<ul>\n<li>3+ years of experience applying ML to real-world problems, preferably in a growth or user acquisition context</li>\n<li>Excellent communication skills and ability to work effectively in cross-functional teams </li>\n<li>Strong problem-solving skills and ability to translate business requirements into technical solutions</li>\n<li>Strong programming skills in Python and experience with PyTorch</li>\n<li>Proficiency in data processing and analysis using tools like SQL, Spark, or Hadoop</li>\n<li>Experience with recommendation systems, user modeling, or personalization algorithms</li>\n<li>Familiarity with statistical analysis</li>\n<li>Bachelor’s/Master’s degree in a relevant field or equivalent experience.</li>\n<li>Nice to have:\n<ul>\n<li>Experience with Natural Language Processing (NLP) to enhance user targeting and personalization strategies</li>\n<li>Proficiency in data visualization techniques</li>\n<li>Experience with cloud platforms (e.g., AWS) and containerization technologies (e.g., Docker, Kubernetes)</li>\n<li>Contributions to open-source ML projects or research publications</li>\n</ul>\n</li>\n</ul>\n \nRelocation Statement:\n<ul>\n<li> This position is not eligible for relocation assistance. Visit our<a href="https://www.pinterestcareers.com/pinflex/"> PinFlex</a> page to learn more about our working model.</li>\n</ul>\n \nIn-Office Requirement Statement:\n<ul>\n<li>We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.</li>\n<li>This role will need to be in the office for in-person collaboration 1-2 times per month and therefore needs to be in a commutable distance from one of the following offices: Dublin.</li>\n</ul>\n \n#LI-HYBRID \n#LI-JD1<div class="content-conclusion">Our Commitment to Inclusion:\n<div>Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete <a href="https://forms.gle/sS24D4WboEKUZMQK6">this form</a> for support.\n<div> </div>\n</div></div>","ie","Dublin","

Requirements:

3+ years of experience applying ML to real-world problems, preferably in a growth or user acquisition context
Excellent communication skills and ability to work effectively in cross-functional teams
Strong problem-solving skills and ability to translate business requirements into technical solutions
Strong programming skills in Python and experience with PyTorch
Proficiency in data processing and analysis using tools like SQL, Spark, or Hadoop
Experience with recommendation systems, user modeling, or personalization algorithms
Familiarity with statistical analysis
Bachelor’s/Master’s degree in a relevant field or equivalent experience

\n\n

Nice to have:

Experience with Natural Language Processing (NLP) to enhance user targeting and personalization strategies
Proficiency in data visualization techniques
Experience with cloud platforms (e.g., AWS) and containerization technologies (e.g., Docker, Kubernetes)
Contributions to open-source ML projects or research publications

\n\n

What you'll be doing:

Develop and implement ML models to improve user targeting and personalization for growth initiatives
Design and build scalable ML pipelines for data processing, model training, and deployment
Collaborate with cross-functional teams to identify potential ML solutions for growth opportunities
Conduct A/B tests to evaluate the performance of ML models and optimize their impact on key growth metrics
Analyze large datasets to extract insights and inform decision-making for user acquisition and retention strategies
Contribute to the development of our ML infrastructure, ensuring it can support rapid experimentation and deployment
Stay up-to-date with the latest advancements in ML and recommend new techniques to enhance our growth efforts
Participate in code reviews and collaborate with team members as needed

\n\n

Perks and benefits:

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
We recognize that the ideal environment for work is situational and may differ across departments.
This role will need to be in the office for in-person collaboration 1-2 times per month and therefore needs to be in a commutable distance from one of the following offices: Dublin.

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