Scale AI

About the Company

At Scale, our mission is to accelerate the development of AI applications. We believe that to make the best models, you need the best data.

The Scale Generative AI Platform leverages your enterprise data to customize powerful base generative models to safely unlock the value of AI. The Scale Data Engine consists of all the tools and features you need to collect, curate and annotate high-quality data, in addition to robust tools to evaluate and optimize your models. Scale powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment.

Scale is trusted by leading technology companies like Microsoft and Meta, enterprises like Fox and Accenture, Generative AI companies like Open AI and Cohere, U.S. Government Agencies like the U.S. Army and the U.S. Airforce, and Startups like Brex and OpenSea.

Listed Jobs

Company Name

Scale AI

Job Title

Machine Learning Research Scientist / Research Engineer, Post-Training

Job Description

**Job Title:** Machine Learning Research Scientist / Research Engineer, Post‑Training **Role Summary:** Lead research and engineering of post‑training techniques (e.g., supervised fine‑tuning, RLHF, reward modeling) to improve alignment, robustness, and multimodal capabilities of large language models. Collaborate with internal teams and external foundation model labs to define data‑driven best practices and publish findings. **Expectations:** - Deliver novel, reproducible methods that advance LLM performance. - Produce high‑impact research papers for top AI conferences. - Communicate results clearly to both technical and non‑technical stakeholders. - Contribute to strategic discussions with partner labs and customers. **Key Responsibilities:** - Design, implement, and evaluate post‑training algorithms (SFT, RLHF, preference optimization) for text and multimodal models. - Curate and refine training data, develop evaluation pipelines, and benchmark model behavior. - Identify model weaknesses (bias, robustness) and propose mitigation strategies. - Publish research and present at conferences or internal forums. - Partner with external AI labs to provide technical guidance on next‑generation generative models. **Required Skills:** - Deep expertise in deep learning, reinforcement learning, and large‑scale model fine‑tuning. - Hands‑on experience with RLHF, preference modeling, instruction tuning, or related post‑training methods. - Strong programming skills (Python, PyTorch/TensorFlow) and ability to scale experiments on distributed GPU clusters. - Proven ability to analyze model outputs, conduct error analysis, and implement bias‑mitigation techniques. - Excellent written and verbal communication; ability to produce research papers and technical documentation. **Required Education & Certifications:** - Ph.D. or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field. - Record of peer‑reviewed publications at premier venues (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) is strongly preferred. - Prior experience in a customer‑facing or collaborative research role is advantageous.

San francisco bay, United states

Hybrid

20-09-2025

Company Name

Scale AI

Job Title

Solutions Engineer, Enterprise

Job Description

**Solutions Engineer, Enterprise** **Role Summary** Collaborate with cross-functional teams to deliver AI/GenAI-driven solutions, ensuring technical success for enterprise clients. Focus on pre-sales demos, project scoping, and technical implementation to secure client adoption and satisfaction. **Expectations** Secure "technical win" through unblocking challenges, drive project scoping, and ensure seamless handoff to delivery teams. Act as a technical advisor and project lead for enterprise clients. **Key Responsibilities** - Partner with account executives (AEs) to create tailored demos and prototypes for enterprise clients (finance, insurance, SaaS). - Translate client technical requirements into actionable scopes of work (SOW). - Collaborate with software engineers and machine learning teams during post-sales implementation. - Identify and prioritize customer-specific feature requests with product managers. - Drive strategic improvements to solution engineering workflows and team efficiency. **Required Skills** - Proficiency in Python, Java, or web-based development languages. - Experience in enterprise SaaS, cloud technology, finance, or fintech with direct client engagement. - Strong problem-solving, project management, and stakeholder communication skills across technical and executive levels. - Deep understanding of generative AI/large language model applications and technical sales processes. **Required Education & Certifications** Not specified.

New york city, United states

Hybrid

21-09-2025

Company Name

Scale AI

Job Title

Machine Learning Research Engineer, Enterprise GenAI

Job Description

New york city, United states

Hybrid

Fresher

10-10-2025

Company Name

Scale AI

Job Title

Software Engineer, Public Sector

Job Description

Job Title: Software Engineer, Public Sector Role Summary: Develop scalable AI-powered backend solutions for government agencies using cloud-native infrastructure and distributed systems. Expectations: Design high-performance systems for secure environments; collaborate on cross-functional projects to meet federal needs. Key Responsibilities: - Build and optimize distributed backend systems and machine learning infrastructure - Partner with stakeholders to deliver AI solutions aligned with government mission objectives - Architect data-intensive applications and robust cloud-native platforms - Contribute to product strategy for federal AI offerings - Engage in customer requirements analysis and solution implementation Required Skills: - Full-stack development (web frameworks, databases) - Cloud platform experience (AWS, Azure, GCP) - Containerization technologies (Docker, Kubernetes) - ETL/data pipeline development - Machine learning framework proficiency (TensorFlow, PyTorch) - Analytical problem-solving for complex technical challenges - Effective communication for cross-functional collaboration Required Education & Certifications: Bachelor’s degree in computer science or related field; active TS/SCI security clearance or ability to obtain.

New york city, United states

Hybrid

12-10-2025