USD per year
Staff Software Engineer - Developer Experience
Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. 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. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At 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. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will redefine how engineers develop, build, test, and deploy software at Scale. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will:
- Drive the architecture, design, and implementation of our local development process, build, test,
continuous integration, and continuous delivery systems, working closely with stakeholders and internal customers to understand and refine requirements.
- Directly manage or mentor small teams of software engineers ranging from new grads to experienced engineers.
- Collaborate with cross-functional teams to define,
design, and deliver new features.
- Proactively identify opportunities and drive improvements to software development practices,
processes, tools, and languages.
- Present technical information to teams and stakeholders,
providing guidance and insight on development processes and technologies. Ideally you’d have:
- 8+ years of full-time engineering experience post-graduation with experience in build,
test or CI/CD systems.
- Extensive experience in software development and a deep understanding of distributed systems
and public cloud platforms (AWS preferred).
- Show a track record of independent ownership of successful engineering projects.
- Possess excellent communication and collaboration skills
and the ability to translate complex technical concepts to non-technical stakeholders.
- Experience working fluently with standard infrastructure containerization
and deployment technologies like Terraform Docker Kubernetes etc.
- Experience with modern web frameworks like NodeJS NextJS etc.
- Experience with modern build systems like Bazel Buck Pants etc.
- Strong knowledge of software engineering best practices
and CI/CD tooling (CircleCI Helm ArgoCD). Nice to haves:
- Experience scaling products at hyper-growth startups.
- Experience with AI development tools or excitement to work with AI technologies.
Compensation 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. Scale employees in eligible roles are also granted equity based compensation subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including but not limited to: Comprehensive health dental and vision coverage retirement benefits a learning and development stipend and generous PTO. Additionally this role may be eligible for additional benefits such as a commuter stipend.
This job posting has expired and is no longer accepting applications.
Browse Active JobsScale AI provides high-quality data and full-stack technologies that power the world’s leading models and enable enterprises and governments to build, deploy, and oversee AI applications that deliver real impact. They offer a data-centric, end-to-end solution to manage the entire machine learning lifecycle, combining cutting edge technology with operational excellence to help teams develop the highest-quality datasets.
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