Scale AI, Inc.
Overview
At Scale AI, we are accelerating the development of artificial intelligence by providing the essential, data-centric infrastructure for building and deploying advanced AI systems. We are seeking a Forward Deployed Data Scientist/Engineer to architect and build sophisticated data solutions that solve our customers' most complex challenges. This role is for a first-principles thinker who thrives on ambiguity, enjoys solving novel customer problems, and applies rigorous data science to deliver measurable business impact. You'll work on a mix of cutting-edge, customer-facing AI implementations. Our team powers projects like TIME's Person of the Year AI experience, where our technology helped shape one of the most iconic features in media. Leveraging Scale's data infrastructure, you will build bespoke evaluation frameworks, deploy custom statistical models, and architect data pipelines. Your work will shape how AI delivers measurable value in real-world applications for industry-leading companies. You will be exposed to the cutting edge of the Generative AI industry while directly interfacing with leading enterprise organizations across telecommunications, e-commerce, finance, education, publication, insurance, and health. Responsibilities
Drive Impact: Contribute to the advancement of AI by delivering critical data science infrastructure and insights for leading AI innovators and enterprise customers. Customer Collaboration: Interact daily with technical customers, understanding their challenges and translating ambiguous business problems into data-driven solutions and robust statistical models. End-to-End Data Solution Development: Design, build, and deploy solutions across the data lifecycle—from data ingestion and pipeline construction to statistical modeling, experimentation, model evaluation, and insight generation. Rapid Experimentation: Design and deliver high-quality experiments (e.g., A/B tests, marketplace modeling) and iterate quickly to validate hypotheses and drive innovation. Strategic Influence: Represent the voice of the customer to internal Product, Engineering, and Data Science teams, influencing product roadmap and technical strategy. Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, from building LLM evaluation frameworks to adapting models for novel economic and business problems. Leadership Growth: Opportunity to lead critical customer-facing projects, shape data culture, and accelerate career growth towards leadership in a technology-driven company. Requirements
5+ years of relevant industry experience in a highly analytical role (e.g., Data Science, ML Engineering, Quantitative Analysis). Proven track record of shipping high-quality data products, models, or features at scale. Strong problem-solving skills and the ability to turn abstract ideas into concrete data science and engineering solutions. Expert-level coding abilities in Python for data science (e.g., Pandas, NumPy, Scikit-learn) and mastery of SQL across large datasets. Ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Desire to thrive in a fast-paced, dynamic environment and adapt quickly to the evolving Generative AI landscape. Willingness to join a dynamic, hybrid team in either San Francisco or New York City. Preferred Qualifications
Experience in a client-facing or consultative role (e.g., Forward Deployed Engineer, Solutions Architect, Data Science Consultant). Deep expertise in designing metrics, diagnosing data inconsistencies, and building evaluation frameworks for ML/LLM systems. Experience with large-scale data processing frameworks and distributed systems (e.g., Spark, Ray). Familiarity with marketplace experimentation, causal inference, and advanced statistical modeling. Experience with cloud-based infrastructure and data warehousing (e.g., AWS, GCP, Snowflake, BigQuery). Compensation, Location, and Benefits
Compensation packages may include base salary, equity, and benefits. Salary ranges are location-dependent. For this role in San Francisco, New York, or Seattle, the base salary range is $180,000 — $225,000 USD. Benefits typically include health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Some roles may be eligible for additional benefits such as a commuter stipend. Please note that salary ranges are provided for transparency and may be adjusted based on location, experience, and other factors. About Us
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide high-quality data and full-stack technologies that power leading models, helping enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work with industry leaders across various sectors and are expanding our team to accelerate AI development. EEO and Accommodations
Scale is an equal opportunity employer. We are committed to inclusivity and providing reasonable accommodations in the recruitment process. If you need an accommodation due to disability, please contact accommodations@scale.com. We comply with applicable pay transparency regulations and privacy policies. Your application data is handled in accordance with our policies and applicable laws.
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At Scale AI, we are accelerating the development of artificial intelligence by providing the essential, data-centric infrastructure for building and deploying advanced AI systems. We are seeking a Forward Deployed Data Scientist/Engineer to architect and build sophisticated data solutions that solve our customers' most complex challenges. This role is for a first-principles thinker who thrives on ambiguity, enjoys solving novel customer problems, and applies rigorous data science to deliver measurable business impact. You'll work on a mix of cutting-edge, customer-facing AI implementations. Our team powers projects like TIME's Person of the Year AI experience, where our technology helped shape one of the most iconic features in media. Leveraging Scale's data infrastructure, you will build bespoke evaluation frameworks, deploy custom statistical models, and architect data pipelines. Your work will shape how AI delivers measurable value in real-world applications for industry-leading companies. You will be exposed to the cutting edge of the Generative AI industry while directly interfacing with leading enterprise organizations across telecommunications, e-commerce, finance, education, publication, insurance, and health. Responsibilities
Drive Impact: Contribute to the advancement of AI by delivering critical data science infrastructure and insights for leading AI innovators and enterprise customers. Customer Collaboration: Interact daily with technical customers, understanding their challenges and translating ambiguous business problems into data-driven solutions and robust statistical models. End-to-End Data Solution Development: Design, build, and deploy solutions across the data lifecycle—from data ingestion and pipeline construction to statistical modeling, experimentation, model evaluation, and insight generation. Rapid Experimentation: Design and deliver high-quality experiments (e.g., A/B tests, marketplace modeling) and iterate quickly to validate hypotheses and drive innovation. Strategic Influence: Represent the voice of the customer to internal Product, Engineering, and Data Science teams, influencing product roadmap and technical strategy. Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, from building LLM evaluation frameworks to adapting models for novel economic and business problems. Leadership Growth: Opportunity to lead critical customer-facing projects, shape data culture, and accelerate career growth towards leadership in a technology-driven company. Requirements
5+ years of relevant industry experience in a highly analytical role (e.g., Data Science, ML Engineering, Quantitative Analysis). Proven track record of shipping high-quality data products, models, or features at scale. Strong problem-solving skills and the ability to turn abstract ideas into concrete data science and engineering solutions. Expert-level coding abilities in Python for data science (e.g., Pandas, NumPy, Scikit-learn) and mastery of SQL across large datasets. Ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Desire to thrive in a fast-paced, dynamic environment and adapt quickly to the evolving Generative AI landscape. Willingness to join a dynamic, hybrid team in either San Francisco or New York City. Preferred Qualifications
Experience in a client-facing or consultative role (e.g., Forward Deployed Engineer, Solutions Architect, Data Science Consultant). Deep expertise in designing metrics, diagnosing data inconsistencies, and building evaluation frameworks for ML/LLM systems. Experience with large-scale data processing frameworks and distributed systems (e.g., Spark, Ray). Familiarity with marketplace experimentation, causal inference, and advanced statistical modeling. Experience with cloud-based infrastructure and data warehousing (e.g., AWS, GCP, Snowflake, BigQuery). Compensation, Location, and Benefits
Compensation packages may include base salary, equity, and benefits. Salary ranges are location-dependent. For this role in San Francisco, New York, or Seattle, the base salary range is $180,000 — $225,000 USD. Benefits typically include health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Some roles may be eligible for additional benefits such as a commuter stipend. Please note that salary ranges are provided for transparency and may be adjusted based on location, experience, and other factors. About Us
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide high-quality data and full-stack technologies that power leading models, helping enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work with industry leaders across various sectors and are expanding our team to accelerate AI development. EEO and Accommodations
Scale is an equal opportunity employer. We are committed to inclusivity and providing reasonable accommodations in the recruitment process. If you need an accommodation due to disability, please contact accommodations@scale.com. We comply with applicable pay transparency regulations and privacy policies. Your application data is handled in accordance with our policies and applicable laws.
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