Jobs at Scale AI

389,121 open positions

Scale AI was founded in 2016 in San Francisco and has become a leader in high‑quality data annotation for AI systems. The company powers self‑driving, natural language, and computer‑vision projects for clients such as Tesla, Google, and Bloomberg, turning raw data into labeled datasets that train machine‑learning models.

Scale AI hires across the tech stack: software engineers, data scientists, machine‑learning researchers, data labeling specialists, product managers, and infrastructure operations staff. Candidates can expect a mix of on‑site and remote roles, a flat hierarchy that encourages cross‑functional collaboration, and a focus on projects that have a direct impact on autonomous technology and AI research.

By reviewing Scale AI listings on Job Transparency, you gain immediate access to published salary ranges, employee sentiment scores, and the number of open positions in each city. This transparency lets you benchmark offers, negotiate with confidence, and assess whether each role aligns with your career goals before you apply.

Enterprise Account Executive

Company: Snorkel AI

Location: Remote

Posted Mar 24, 2023

Snorkel AI is redefining how people and organizations build AI applications. They offer a higher-level interface to machine learning through programmatically labeled and managed training data. Their technology, Snorkel Flow, empowers users to programmatically label and build training data sets for faster, more flexible, and higher quality AI development. They are hiring exceptional individuals to join their founding enterprise sales team and position their differentiation and value to technical buyers.

Senior Data Engineer

Company: Accrete AI

Location: New York City, NY

Posted Mar 24, 2023

The job posting is for a Senior Data Engineer at Accrete AI, a Prime Defense Contractor specializing in AI solutions for defense, intelligence, and cybersecurity. The role involves designing, coding, and debugging software, data pipelines, and analytics. The candidate should have 6+ years of experience with data-oriented languages like Python or Scala, 5+ years in cloud computing (AWS, Azure, or GCP), and experience with scalable, reliable data pipelines using technologies like Hadoop, Hive, Spark, Kafka, Airflow, or similar services.

Vice President of Machine Learning and Data Science

Company: Altana AI

Location: New York City, NY

Posted Mar 22, 2023

Altana is a company that provides a dynamic, intelligent map of the global supply chain, known as the Altana Atlas. This is achieved through AI and machine learning models that analyze massive sets of public and private data. The Atlas allows companies and governments to understand the origins of products, discover trading relationships, measure impacts, ensure compliance, and collaborate. Altana's mission is to power a new era of globalization through trusted supply chain networks. They are seeking a talented machine learning and data science leader to guide initiatives across the company, overseeing critical product features and leading a world-class technology team.

Product Design Lead

Company: Altana AI

Location: Brooklyn

Posted Mar 21, 2023

Altana provides a dynamic, intelligent map of the global supply chain using AI and machine learning models. The company aims to power a new era of globalization with trusted supply chain networks. The role of Lead Product Designer involves contributing to product strategy, defining experiences for customers, and collaborating with Engineers. The company values collaboration, engineering excellence, personal and professional development, diversity, and impact.

DevOps Engineer

Company: Snorkel AI

Location: Peninsula

Posted Mar 24, 2023

Snorkel AI is redefining how people and organizations build AI applications. They offer a higher-level interface to machine learning through programmatically labeled and managed training data. Their technology, Snorkel Flow, democratizes and accelerates AI. It requires outstanding engineers and technologies across the stack, including scalable data pipelines, elegant interfaces, state-of-the-art ML modeling techniques, and best practices for deployment. Snorkel Flow empowers users to programmatically label and build training data sets for faster, more flexible, and higher quality AI development. It's a data-first platform for enterprise AI.

Enterprise Account Executive (Remote)

Company: Suki Ai

Location: Remote

Posted Mar 24, 2023

Suki is creating a new category in the health-tech space: the digital assistant. Our product will be the voice user interface for healthcare. We are looking for a results-driven candidate with executive presence, technical and clinical acumen, and a user-centered approach. The role involves identifying and closing new business opportunities, growing and expanding our footprint within existing Enterprise accounts, and maintaining accurate account funnel and forecast in SFDCO.

Senior AI/ML Consultant (Federal)

Company: Snorkel AI

Location: Remote

Posted Mar 24, 2023

Snorkel AI is a company that aims to redefine how people and organizations build AI applications. They offer a higher-level interface to machine learning through programmatically labeled and managed training data. Their technology, Snorkel Flow, allows for scalable data pipelines, elegant interfaces, state-of-the-art ML modeling techniques, and seamless deployment. It is particularly useful for large labeled training datasets, which traditional approaches often rely on human annotators for. Snorkel Flow is an end-to-end development platform for full AI application workflows, from preprocessing to deployment. As a Senior AI/ML Consultant - Federal, you would work with customers to understand their business and technical needs and design ML solutions using Snorkel AI's technology. The role requires customer-facing experience, Python skills, and expertise in modern ML frameworks and libraries.

Senior Technical Product Manager

Company: Relyance AI

Location: Remote

Posted Mar 24, 2023

The role of Senior Technical Product Manager at Relyance AI involves managing product design and development, building cutting-edge observability, data synthesis, and protection products, and working closely with various teams to ensure product development in the most advanced and user-friendly way. The ideal candidate should have 4+ years of relevant work experience, experience with JIRA and SaaS, technical fluency, strong communication skills, and the ability to wear many hats and pivot based on company needs.

Senior Site Reliability Engineer

Company: Accrete AI

Location: New York City, NY

Posted Mar 24, 2023

The job posting is for a Senior Platform Engineer at Accrete AI, a Prime Defense Contractor. The role involves guiding a team in creating and implementing programmable infrastructure, supporting new and existing applications, and engaging in design, development, installation, and system administration of software build/continuous integration systems, anti-virus systems, security systems, and configuration management systems. The responsibilities include defining processes for the DevOps program, attracting and retaining a highly talented team, and managing operational resilience for network and application while minimizing the effect on the business.

Director of Demand Generation

Company: Suki Ai

Location: Peninsula

Posted Mar 20, 2023

Suki is creating a new category in the health-tech space: the voice assistant. The product will be the voice user interface for healthcare, aiming to replace time-consuming electronic health record systems. Doctors using Suki spend over 70% less time on administrative tasks. Suki is a user-driven company committed to making every pixel count. They are looking for a demand generation specialist with versatility, data-driven skills, creativity, and adaptability. The role involves owning and executing the demand generation strategy, building a qualified lead pipeline, and collaborating with various teams. The company is innovative, backed by successful tech veterans and medical leaders, and has a $55M Series C financing. The vision is to become the voice user interface for healthcare, relieving doctors' administrative burden.

Senior Windows Network IT Administrator

Company: Suki Ai

Location: Peninsula

Posted Mar 17, 2023

The text describes a company called Suki that is creating a voice assistant for healthcare. The company is looking for a systems administrator to join their team and is highlighting the benefits of working for a company that is making a positive impact in the healthcare industry.

Vice President of Machine Learning and Data Science

Company: Altana AI

Location: New York City, NY

Posted Mar 22, 2023

The text discusses Altana, a Trusted Commerce Platform that aims to enable resilient, sustainable, secure, and inclusive global commerce. It highlights Altana's global network of data, AI-powered entity resolution, and customs classification and prediction. The company is looking for a VP of Machine Learning and Data Science to lead several teams and ensure data science customizations align with the company's vision.

Frequently Asked Questions

What is it like to work at Scale AI?
Scale AI culture prioritizes impact, diversity, and continuous learning. Employees enjoy flexible remote options, a collaborative environment with frequent cross‑team projects, and competitive compensation that includes equity and bonuses tied to product milestones.
What types of positions are available at Scale AI?
Open roles cover software engineering (frontend, backend, infrastructure), data science, machine‑learning research, data labeling, product management, legal, HR, finance, and customer success. The company also hires for data annotation and annotation‑tool engineering.
How can I stand out as an applicant?
Tailor your resume to highlight relevant AI or data‑labeling projects, quantify impact (e.g., improved model accuracy by X%), showcase open‑source contributions or Kaggle rankings, and prepare specific examples of cross‑functional collaboration. Reach out to current employees on LinkedIn for informational chats and ask insightful questions about the role during the interview.

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