Sr. Machine Learning Engineer, Onsite Content Signals

Pinterest; Canada; Remote; CAD 80,000 - 120,000; Full time

Job summary

Ein innovatives Unternehmen sucht einen erfahrenen Machine Learning Engineer, der Systeme und Datenpipelines entwickelt, um den Lebenszyklus von Modellen zu beschleunigen. In dieser spannenden Rolle arbeiten Sie an der Schnittstelle von Daten und Infrastruktur, um skalierbare Backend-Services und APIs zu erstellen. Sie werden Teil eines dynamischen Teams, das sich auf die Optimierung von Signalintegration und -leistung konzentriert. Wenn Sie leidenschaftlich an Technologie interessiert sind und in einem flexiblen Arbeitsumfeld arbeiten möchten, ist dies die perfekte Gelegenheit für Sie.

Qualifications

• 4+ Jahre Erfahrung in Machine Learning und Backend-Entwicklung.
• Erfahrung mit großen verteilten Systemen und APIs.

Responsibilities

• Architektur und Entwicklung von Systemen und Datenpipelines.
• Zusammenarbeit mit Teams zur Unterstützung der Signalbereitstellung.

Skills

Machine Learning

Java

Scala

C++

Python

Backend Services

Distributed Systems

Tools

Spark

Flink

Job description

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, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

Our team:

We build components that play a key role in the model lifecycle. Active Learning reinforces signal performance on optimal training data. Streaming and batch signal delivery components improve signal integration across all of the user facing surfaces at Pinterest. The team works on key company objectives and is responsible for key metrics. To scale our systems we leverage Spark, Flink, and low-latency model serving infrastructure.

What you'll do:

• Architect and develop systems, data pipelines, tools that accelerate model life cycle
• Collaborate with signal owners during conceptualization and productionization of signals
• Work with infrastructure and platform teams to build the right set of tools and APIs to support signal hosting and delivery
• Collaborate with signal consuming teams to facilitate signal adoption

What we're looking for:

• 4+ years of industry experience in Machine Learning
• Expertise in at least one of the generic programming languages (Java/Scala/C++/Python)
• Expertise with machine learning modeling lifecycle
• Hands-on experience in building and debugging scalable backend services and APIs
• Hands-on experience with large-scale distributed systems (distributed storage systems, stream processing, inference, and deployment at scale)
• Strong ability to work cross-functionally and with partner engineering teams

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.

Relocation Statement:

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

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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, 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.