Sr Staff ML Forward Deployed Engineer, Enterprise GenAI
Scale AI
71
MAYBE
Application materials
AI-tailored 2-page resume and 1-page cover letter for Scale AI — Sr Staff ML Forward Deployed Engineer, Enterprise GenAI.
Two-stage AI pipeline: generation pass, then strict hiring-manager review. Facts stay truthful; content is reordered and emphasized for this role. Experience stated as 8 years.
AI Qualification
The candidate has relevant experience and skills that align with the job requirements, particularly in backend systems and AI technologies. However, the job is located in London and does not offer remote work, which does not fit the candidate's preferred locations. Additionally, the candidate lacks specific experience in scaling products at hyper growth startups and with vector databases, which are emphasized in the job posting.
Strengths
- + 8 years of experience in software engineering
- + Strong background in backend and distributed systems
- + Experience with LLMs and AI technologies
- + Proficient in Python and JavaScript/TypeScript
- + Experience with Kubernetes and major cloud providers
Missing skills
- − Experience scaling products at hyper growth startups
- − Experience with vector databases
Seniority
Senior
Location
SKIP
Salary
Not specified
Match
75
Job description
Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative 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 product in a fast-paced environment. 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 be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability.
You will:
- Own large new areas within our product
- Work across backend, frontend, and interacting with LLMs and ML models
- Deliver experiments at a high velocity and level of quality to engage our customers
- Work across the entire product lifecycle from conceptualization through production
- Be able, and willing, to multi-task and learn new technologies quickly
Ideally you'd have:
- 7+ years of full-time engineering experience, post-graduation
- Experience scaling products at hyper growth startups
- Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
- Proficient in Python or Javascript/Typescript, and SQL
- Experience with Kubernetes
- Experience with major cloud providers (AWS, Azure, GCP)
PLEASE NOTE: 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.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's 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, Ernst & 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.
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.
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 Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
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