We live in unprecedented times – AI has the potential to exponentially augment human intelligence. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products.
\nAt Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment.
\nAs a Staff Software Engineer, you will define and drive both the architectural roadmap and implementation of core platforms and software systems. You will be responsible for providing high-level vision and driving adoption across the engineering org for orchestration, data abstraction, data pipelines, identity & access management, and underlying cloud infrastructure.
\nImpact and Responsibilities:
\nIdeally you’d have:
\nNice to haves:
\nCompensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.
\nFor pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $252,000-$315,000 USD
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\nIn this role, you'll collaborate with cross-functional teams to define, design, and deliver new features, proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades. You'll present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.
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\nYour responsibilities will include:
\nIdeally, you'd have:
\nCompensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.
\nThis role may be eligible for additional benefits such as a commuter stipend.
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\nYou will drive the design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. You'll collaborate with cross-functional teams to define, design, and deliver new features. You'll also proactively identify opportunities for, and drive improvements to, current programming practices, including process enhancements and tool upgrades.
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\nThe engineer joining this team will help build tools that interact with external health data networks to collect information about our patients and load it into the Zus data stores at high volume, as well as services used by customers and internal stakeholders to request that data.
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\nZus supports both remote work and hybrid work in the Boston area with an office near South Station, and our teams are a mix of both styles of work.
\nWe actively work to make sure all voices are heard and information is shared regardless of your work location.
\nYou're a good fit because you...
\nIt would be awesome if you were...
\nAdditional Information
\nThis role can be hybrid in Boston or mostly remote. We’re flexible, because we trust our people to do great work wherever they’re most productive. We’re proudly remote-first, but not strangers by any means. We get together a few times a year to build real rapport, align on strategy, and connect as people.
\nWe believe strong culture is built on trust, transparency, and showing up online or or in person. So yes, work from where you thrive… and plan on the occasional gathering where the strategy is sharp, the conversations are candid, and the snacks are usually excellent.
\nWe will offer you…
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