
At a glance
<p>Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our core infrastructure in a fast-paced environment. </p>
<p>The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail.</p>
<p><strong>What You’ll Do:</strong></p>
<ul>
<li>Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers</li>
<li>Implement custom integrations between Scale AIs platform and customer data environments (cloud platforms, data warehouses, internal APIs)</li>
<li>Collaborate with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs.</li>
<li>Deliver experiments at a high velocity and level of quality to engage our customers</li>
<li>Work across the entire product lifecycle from conceptualization through production</li>
<li>Be able, and willing, to multi-task and learn new technologies quickly</li>
</ul>
<p><strong>What We’re Looking For:</strong></p>
<ul>
<li>4+ years of full-time engineering experience, post-graduation</li>
<li>Experience scaling products at hyper growth startups</li>
<li>Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies</li>
<li>Proficient in Python or Javascript/Typescript, and SQL</li>
<li>Experience with Kubernetes</li>
<li>Experience with major cloud providers (AWS, Azure, GCP)</li>
<li>Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences</li>
</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><em>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 and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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
Youll 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.</em></p></div><div class="title">Please reference the job postings subtitle for where this position will be located
For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:</div><div class="pay-range"><span>$179,400</span><span class="divider">—</span><span>$224,250 USD</span></div></div></div><div class="content-conclusion"><p><strong><em>PLEASE NOTE: </em></strong><em>Our policy requires a 90-day waiting period before reconsidering candidates for the same role
This allows us to ensure a fair and thorough evaluation of all applicants.</em></p>
<p><strong>About Us:</strong></p>
<p><em>At Scale, our mission is to develop reliable AI systems for the worlds most important decisions Our products provide the high-quality data and full-stack technologies that power the worlds leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact
We work closely with industry leaders like Meta, </em><em>Ernst</em><em> </em><em>&</em><em> Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force
We are expanding our team to accelerate the development of AI applications.</em></p>
<p><em>We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. </em></p>
<p><em>We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com
Please see the United States Department of Labors </em><a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf"><em>Know Your Rights poster</em></a><em> for additional information.</em></p>
<p><em>We comply with the United States Department of Labors </em><em>Pay Transparency provision</em><em>. </em></p>
<p><em><strong>PLEASE NOTE: </strong>We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates
We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws
Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data
Please see our <a href="https://scale.com/legal/privacy" target="_blank">privacy policy</a> for additional information.</em></p></div>
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