Scale AI
Scale AI

60 Scale Ai Data Scientist Jobs (Flexible Options) Near Me

... scientists, and contributing to the growth of AI innovations through research and data quality ... Scale's mission is to develop reliable AI systems for the world's most important decisions. Founded ...

Scale AI is seeking a highly skilled and motivated AI Data Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale ...

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Scale AI Jobs Information

Do workers at Scale AI get paid breaks?

Sometimes. Only some people get paid breaks.
43% of people say they don’t get paid breaks.
Based on data from 7 people who took the Breakroom Quiz between April 2025 and March 2026.

Does Scale AI pay people when they’re sick?

Sometimes. Only some people get paid when they’re sick.
38% of people say they wouldn’t get paid if they were sick but scheduled to work.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people get paid time off at Scale AI?

Most people get paid time off work.
80% of people say they get paid time off.
Based on data from 5 people who took the Breakroom Quiz between May 2025 and March 2026.

Do workers at Scale AI worry about hours?

Most people don’t worry about getting enough hours.
100% of people report they don’t worry about getting enough hours.
Based on data from 5 people who took the Breakroom Quiz between April 2025 and December 2025.

How easy is it to get time off at Scale AI?

Most people find it easy to get time off.
75% of people report it’s easy to get time off.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and March 2026.

Do Scale AI managers change schedules at the last minute?

Most managers don’t change people’s schedules at the last minute.
83% of people say their manager doesn’t change their shift schedule at the last minute.
Based on data from 6 people who took the Breakroom Quiz between January 2025 and December 2025.

Do jobs at Scale AI spill into time workers aren’t paid for?

Rarely. The job doesn't usually spill into unpaid time.
0% of people report that their job takes up time that they don’t get paid for.
Based on data from 6 people who took the Breakroom Quiz between January 2025 and December 2025.

How easy is it to take sick days at Scale AI?

Most people find it easy to take sick days.
88% of people report that it’s easy to take time off if they are sick.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people at Scale AI feel treated with respect by their managers?

Some people don’t feel treated with respect by their managers.
38% of people say they’re not treated with respect by their managers.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people at Scale AI get to take their breaks without interruption?

Most people get breaks without interruption.
78% of people report that they get to take their breaks without interruption.
Based on data from 9 people who took the Breakroom Quiz between January 2025 and March 2026.

Is it stressful to work at Scale AI?

Some people feel stressed here.
44% of people say they often feel stressed at work.
Based on data from 9 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people at Scale AI enjoy their jobs?

Only some people enjoy their job.
50% of people report they don’t enjoy their job.
Based on data from 6 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people at Scale AI recommend working with their team?

Most people recommend working with their team.
67% of people report that they would recommend working with their immediate team to a friend.
Based on data from 9 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people get enough training when they start at Scale AI?

Some people didn’t get enough training when they started.
67% of people report they didn’t get enough training when they started working here.
Based on data from 9 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people get support to advance at Scale AI?

Only some people are given support to advance their career here.
In the last year, 50% of people report not being given support to advance their career here.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people think Scale AI’s headquarters understands what’s happening where they work?

Most people think headquarters doesn’t understand what’s happening where they work.
86% of people think that this employer’s headquarters or owners don’t have a good understanding of what’s really happening where they work.
Based on data from 7 people who took the Breakroom Quiz between January 2025 and December 2025.

Do workers feel well informed about how Scale AI is doing?

Only some people feel well informed about how the company is doing.
63% of people feel that they aren’t kept well informed about how the company is doing as a whole.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and December 2025.

Frontier Agent Engineering Manager, Enterprise

Scale AI

Manhattan, NY • On-site

Full-time

Re-posted 16 days ago


Scale AI rating

8.5

Company rating: 8.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

81st of 247 rated software companies


Job description

Job Summary:
Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. In this role, you will be the technical bridge between Scale AI's AI capabilities and enterprise clients, leading a team to architect and deploy AI solutions tailored to customer needs.
Responsibilities:
• Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements
• Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)
• Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows
• Deploy and configure AI models and agents within customer security and compliance boundaries
• Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation
• Architect multi-agent systems that orchestrate between different models, tools, and data sources
• Implement evaluation frameworks to measure agent performance and iterate toward business objectives
• Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement
• Create sophisticated prompt engineering strategies optimized for customer-specific domains and data
• Build and maintain prompt libraries, templates, and best practices for customer use cases
• Conduct systematic prompt experimentation and A/B testing to improve model outputs
• Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate
• Serve as the Engineering Manager and technical point of contact for strategic enterprise accounts
• Lead a team that is collaborating with customer data scientists, ML engineers, and software developers to ensure smooth integration
• Work closely with Scale's product and engineering teams to translate customer needs into product improvements
• Document technical architectures, integration patterns, and best practices
• Debug complex technical issues across the entire stack, from data pipelines to model outputs
• Rapidly prototype solutions to unblock customers and prove out new use cases
• Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems
• Identify opportunities for productization based on common customer patterns
Qualifications:
Required:
• 5+ years of software engineering experience with 2+ yrs of Management experience with strong fundamentals in data structures, algorithms, and system design
• Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)
• Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure
• Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions
• Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences
Preferred:
• Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures
• Experience building and deploying AI agents or autonomous systems in production
• Knowledge of vector databases and semantic search systems
• Contributions to open-source AI/ML projects
• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines
• Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools
• Previous work in a devops, platform, or infra role
• Familiarity with enterprise security, compliance, and governance requirements (SOC 2, GDPR, HIPAA)
• Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role
• Domain expertise in verticals like finance, healthcare, government, or manufacturing
• Experience with technical enablement or teaching programs
Company:
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. Founded in 2016, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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