Scale AI

2 weeks ago

Sr Staff ML Forward Deployed Engineer, Enterprise GenAI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Own major new areas of an enterprise-grade generative AI platform, working across backend and frontend while integrating LLMs and ML models. Tackle hard reliability and scalability challenges for large-scale distributed systems, and deliver experiments quickly with high quality across the full product lifecycle. Ideal candidates bring strong software engineering fundamentals plus hands-on experience productizing LLMs, vector databases, and modern cloud infrastructure.

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Own large new areas within the product.
•Work across backend, frontend, and interacting with LLMs and ML models.
•Deliver high-velocity, high-quality experiments to engage customers.
•Work across the full product lifecycle from conceptualization through production.
•Multi-task and learn new technologies quickly to support product growth.

Key Requirements

•7+ years of full-time engineering experience post-graduation.
•Experience scaling products at hyper growth startups.
•Experience productizing LLMs and vector databases (and other current AI technologies).
•Proficiency in Python or JavaScript/TypeScript, and SQL.
•Experience with Kubernetes and major cloud providers (AWS, Azure, GCP).

Experience:7+ yearsEnterprise AIGenerative AILLMsVector databasesLarge-scale distributed systemsHyper growth startups

Skills:Multi-taskingQuick learningProblem-solving

Languages:English

Tech Stack:PythonJavaScriptTypeScriptSQLKubernetesAWSAzureGCPLLMsVector databases

Company Brief

Scale AI

Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2016

Website LinkedIn

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Scale AI

2 weeks ago

Sr Staff ML Forward Deployed Engineer, Enterprise GenAI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Own large new areas within the product.
•Work across backend, frontend, and interacting with LLMs and ML models.
•Deliver high-velocity, high-quality experiments to engage customers.
•Work across the full product lifecycle from conceptualization through production.
•Multi-task and learn new technologies quickly to support product growth.

Key Requirements

•7+ years of full-time engineering experience post-graduation.
•Experience scaling products at hyper growth startups.
•Experience productizing LLMs and vector databases (and other current AI technologies).
•Proficiency in Python or JavaScript/TypeScript, and SQL.
•Experience with Kubernetes and major cloud providers (AWS, Azure, GCP).

Experience:7+ yearsEnterprise AIGenerative AILLMsVector databasesLarge-scale distributed systemsHyper growth startups

Skills:Multi-taskingQuick learningProblem-solving

Languages:English

Tech Stack:PythonJavaScriptTypeScriptSQLKubernetesAWSAzureGCPLLMsVector databases

Company Brief

Scale AI

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2016

Website LinkedIn