Principal MTS, Machine Learning

What Will You Do

We are looking for exceptional engineering tech leaders and architects, who take pride in creating simple solutions to apparently-complex problems. Our Engineering tasks typically involve at least one of the following:

• Architect scalable data pipelines processing billions of items, integrating ML models. 

• Design low-latency search/IR services on datasets of hundreds of millions of items. 

• Craft API designs and drive integration between data layers and customer-facing applications. 

• Design and run A/B tests in production to measure new functionality impact.

 If you love a good challenge, and are good at handling complexity - we’d love to hear from you!

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​Job Responsibilities

• Collaborate with Management and Product Management on shaping the department’s vision and roadmap

• Architect and drive strategic evolution of data pipelines, ML frameworks, and service infrastructure.

• Define and lead performance optimization strategies for critical systems.

• Collaborate on project scope and define long-term architectural vision.

• Develop and champion technical strategies aligned with business objectives.

• Lead cross-functional architectural initiatives, ensuring coherent solutions.

• Establish and champion organization-wide knowledge sharing and best practices.

Minimum Qualifications

• Passion and commitment for technical excellence 

• B.Sc. or M.Sc. in Computer Science or an equivalent professional experience

• 10+ years of software design, architecture, and development experience, tackling complex problems in backend services and / or data pipelines

• Solid foundation in Data Structures, Algorithms, Object-Oriented Programming, Software Design, Statistics, and core ML concepts 

• Architectural expertise in production-grade systems using Java, Python/Scala.

• Architectural expertise in large-scale ML engineering, architecture, deployment, and optimization

• Strategic design and operational leadership of large-scale Big Data processing pipelines (Hadoop, Spark).

• Proven ability to resolve complex architectural challenges in production software systems.

• Executive-level communication and collaboration skills for influencing technical direction.