Machine Learning Engineer II, Computer Vision Applied Science

Pinterest; Deutschland; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

Pinterest is looking for experienced research engineers and scientists to prototype new model architectures for vision language models. You will develop evaluation benchmarks and collect visual training data while mentoring junior researchers.

Qualified candidates should have 2+ years of industry experience in computer vision and possess a M.S. or PhD in relevant fields. This position allows for flexible collaboration across the country.

The company fosters an inclusive culture and commitment to equal opportunity for all employees.

Qualifikationen

• 2+ years of industry computer vision experience.
• Experience working with generative computer vision models.
• Mentoring skills for junior researchers.

Aufgaben

• Prototype new model architectures for Pinterest VLMs.
• Develop new evaluation benchmarks.
• Collect relevant visual training data.

Kenntnisse

Generative computer vision models

Industry computer vision experience

Machine Learning

Research papers publication

Collaboration skills

Ausbildung

M.S. or PhD in Machine Learning, Computer Science, or related areas

Tools

Cursor

Copilot

Codex

Jobbeschreibung

What you’ll do:

• Prototype new model architectures for Pinterest VLMs. We’re looking for hands-on experience working with finetuning open-source LLM models and improve their visual perception and tool using capabilities.
• Develop new evaluation benchmarks that tailors to vision-centric capabilities such as fashion style recommendations.
• Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company.
• Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc.
• Publish and publicize your work via conferences, paper submissions, blog posts, etc.
• Mentor more junior researchers or research interns within the Pinterest Labs organization.

What we’re looking for:

• Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of visual encoders and LLMs.
• 2+ years of industry computer vision experience.
• M.S. or PhD in Machine Learning, Computer Science, or related areas.

Nice to Have:

• Publications at top ML conferences.
• Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.

In-Office Requirement

• 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

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

Salary and Benefits

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

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

US based applicants only

Our Commitment to Inclusion

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. 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 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.