Sr Staff ML Forward Deployed Engineer, Enterprise GenAI

Scale AI
London, United Kingdom
On-siteCareer-pivot friendly

Who this role is best for

Best suited to mid-level engineers with experience in scaling products at hyper growth startups and tinkering with LLMs, vector databases, and other AI technologies, based in London.

Best fit for

  • Engineers with 7+ years of experience in fast-paced, scaling environments.
    — “7+ years of full-time engineering experience, post-graduation
  • Candidates comfortable working across backend, frontend, and ML models.
    — “Work across backend, frontend, and interacting with LLMs and ML models
  • Professionals proficient in Python or JavaScript/Typescript and SQL.
    — “Proficient in Python or Javascript/Typescript, and SQL

Things to consider

  • Requires ability to multi-task and learn new technologies quickly.
    — “Be able, and willing, to multi-task and learn new technologies quickly
  • 90-day waiting period before reconsideration for the same role.
    — “Our policy requires a 90-day waiting period before reconsidering candidates for the same role

How to stand out

  • Highlight experience with Kubernetes and major cloud providers.
    — “Experience with Kubernetes
  • Showcase projects involving LLMs and vector databases.
    — “Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
  • Demonstrate ability to deliver high-velocity experiments.
    — “Deliver experiments at a high velocity and level of quality to engage our customers
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Scalable product areas
  • Improved customer engagement
Typical background
Full-stack engineerBackend engineer

Skills & requirements

Required

Distributed SystemsLLM And ML Model IntegrationCloud PlatformsKubernetes

Preferred

Productization Of Llms

Stack & domain

Software EngineeringDistributed SystemsLlmsMl ModelsKubernetesCloud ProvidersProblem-solvingTeamworkCommunicationAdaptabilityAIEngineeringCloud

About the role

Original posting from Scale AI via Greenhouse

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. 

PLEASE NOTE: 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 privacy policy for additional information.

Source: Scale AI careers (Greenhouse)

Similar roles