Staff Machine Learning Engineer, Applied Research

Pinterest; Deutschland; Vor Ort; EUR 164.059 - 337.771; Vollzeit

Zusammenfassung

Pinterest Labs is seeking researchers and ML engineers to advance machine learning and multi-modal language models. You will tackle problems across search, discovery, and recommendations, applying NLP, graph analysis, and ranking techniques.

Expect collaboration with world-class scientists and engineers, mentoring, and external partnerships. You will contribute to AI-driven product insights, develop scalable solutions, and communicate complex concepts clearly.

Qualifikationen

• MS/PhD in Computer Science, ML, NLP, Statistics or related field.
• 6+ years of industry experience.
• Experience in machine learning/information retrieval.
• Mastery of at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, PyTorch, MLFlow).
• Experience in research and in solving analytical problems.
• Cross-functional collaborator and strong communicator.

Aufgaben

• Contribute to cutting-edge research in machine learning and LLM that can be applied to Pinterest problems, especially search, recommendation, reason and planning agents.
• Collect, analyze, and synthesize findings from data and build intelligent data-driven models.
• Write clean, efficient, and sustainable code.
• Use ML, NLP, and graph analysis to solve modeling and ranking problems across growth, discovery, ads and search.
• Scope and independently solve moderately complex problems.

Kenntnisse

Machine learning

Strong communicator

Cross-functional collaboration

Ausbildung

MS/PhD in CS/ML/NLP/Statistics

Tools

Java

C++

Python

TensorFlow

PyTorch

MLFlow

Jobbeschreibung

About Pinterest:

Millions 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.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities and celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

At 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.

Through 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 here.

At Pinterest Labs, you'll work on tackling new challenges in machine learning and multi-modal large language models along with a world-class team of research scientists, and machine learning engineers. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: natural language processing (NLP) and reasoning capability, computer vision for multi-modality, graph neural network, inclusive and responsible AI, reinforcement learning, user modeling, and recommender systems.

What you’ll do:

• Contribute to cutting-edge research in machine learning and LLM that can be applied to Pinterest problems, especially search agent, recommendation agent, reason and planning agent


• Collect, analyze, and synthesize findings from data and build intelligent data-driven model


• Write clean, efficient, and sustainable code


• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across growth, discovery, ads and search


• Scope and independently solve moderately complex problems

What we’re looking for:

• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field


• 6+ years of industry experience


• Experience in machine learning/information retrieval


• Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)


• Experience in research and in solving analytical problems


• Cross-functional collaborator and strong communicator


• Comfortable solving ambiguous problems and adapting to a dynamic environment

In-Office Requirement Statement:

• 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/quarter and therefore can be situated anywhere in the country.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit PinFlex page to learn more about our working model.

US based applicants only

$189,308 — $389,753 USD

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

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 or 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 this form for support.

By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.