Job CategoryProducts and Technology
The Principal Platform Architect - Machine Learning, within the Office of the CTO, is a platform-level product architect for algorithmic, statistical, and machine-learning initiatives.
You are a creative yet get-things-done technologist, who would drive our strategy and pave our paths for what is possible, what is most valuable, and where to leverage these techniques in our platform, from vision through to technical architecture and delivery via deep partnership with the PM and engineering team. This would also include creating data connectivity, pipelines and appropriate (sanitized or not) environments for data scientists and machine learning. The impact is direct and major, on the trajectory of the company, on our customers, and on the industry as a whole.
What you'll achieve:
* Own overall platform architecture for this domain, including its direction, its principles, its various levels of abstraction, and its current state. Drive its information hierarchy and structures, domains of responsibility, key technologies.
* Partner with the product management team to define and deliver the vision for this area in our platform, as measured by overall customer value. It will span most if not all our platform over time, and leverage several highly differentiated capabilities in the platform.
* Work closely with the team for this area of the platform to create a shared vision for each component's architecture and how the pieces fit together.
* Collaborate with the platform architects for the other areas of the platform so the overall architecture that emerges is coherent and efficient at achieving the value for our customers.
* Keep this real, up to date, agile -- the opposite of an ivory tower.
* Iteratively evolve the platform architecture based on discoveries made while "peeling the onion", real-world implementation experience, product feedback, roadmap priorities, and other realities.
* Create effective communication vehicles for the platform architecture targeted at a spectrum of audiences and needs, external and internal.
* Architect not only the long-term state but also the path to get there, accounting for near-term product deliverables, technical debt, and the maturity and likely evolution of relevant technologies.
* Lead by example and work closely with engineering on strategic initiatives, designing high quality software, providing detailed feedback in design and code reviews, and bringing the craft of software engineering to bear on everything we do.
* Innovate and lead explorations into new areas and new technologies, within the company but also with other industry leaders.
* Proactively identify architectural weaknesses and recommend appropriate solutions.
* Evaluate new technologies and stay current with a broad range industry trends and developments.
* Hack. Blog and tweet and talk. Often.
What you'll need to be successful:
* Breadth of expertise in algorithmic, statistical, and machine learning approaches, from the tried and true to the state of the art. A bias to things that really work, and also to identifying what hard problems are worth solving, what hard problems are best to get elsewhere, and where to stop due to diminishing returns. And a real world understanding that one cannot do machine learning without access to data, that quality is at least as important as quantity, and that critical evaluation of solutions to very specific problems we'll need to solve in the platform is more important than exploring academic issues.
* Deep interest and experience in broad software platforms, including platform information architecture, information flow, the appropriate modularization and loose coupling, flexibility vs specialization and optimization.
* Proven talent for architecting incredibly capable systems that are incredibly simple relative to those capabilities.
* A hands-on, practical approach to software and technology. You code. You deploy. You integrate. You prove by doing.
* Uncanny ability to drive a compelling long-term vision, sketch broad, long-lasting design directions, extract the principles which underpin the architecture, and dive all the way down to very specific implementation details, so you effectively hold the entire platform architecture in your head -- the forest and the trees.
* Matching abilities to capture the architecture in diagrams and documents, communicate it consistently and at the appropriate levels, guard it and evolve it, share it and involve others in advancing it forward.
* Master of architecting systems that can actually be built with finite time and resources, in that developers can run with the architecture, can make it their own, can translate it to the daily decisions that make up software development, and can inform the architecture.
* A great collaborator: someone whom the strong developers, leads, and architects on the teams want to work with, to follow through thick and thin; someone they understand and who understands them; an obvious leader of leaders.
* Exemplary track record of significant, ideally game-changing innovation and creativity.
* A can-do approach backed by accomplishments: they said it couldn't be done, so I came in and found a smart way and made it happen, and ended up knocking it out of the park.
* Deep, hands-on expertise in cloud architectures (SaaS, PaaS, IaaS, distributed systems) and approaches to address their unique management and security considerations.
About MuleSoft, a Salesforce company
Our mission is to help organizations change and innovate faster by making it easy to connect the world's applications, data, and devices. Companies like Spotify, McDonald's, and Unilever rely on MuleSoft to stay agile, deliver faster, and make the most of their IT investment with API-led connectivity. Hiring exceptional people who want to build a great company together is our number one priority, and we're committed to providing an equal opportunity workplace where everyone is supported and inspired to do their best work. We work tirelessly to build this culture, and we're proud to have been named the #1 Top Workplace in the Bay Area and a best place to work 6 years in a row.
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