Scale AI
Applied AI Engineering Manager, Enterprise
Scale AI, San Francisco, California, United States, 94199
Overview
Join to apply for the
Applied AI Engineering Manager, Enterprise
role at
Scale AI .
AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative AI Platform (SGP).
The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an AAI Engineering Manager, you’ll manage a team of high-calibre Applied AI Engineers + MLEs who work with clients to train ML models to satisfy their business needs. Your team’s work will range from training next-generation AI cybersecurity firewall LLMs to training foundation agentic action models making predictions about business-saving outcomes. You will guide your team towards using data-driven experiments to provide key insights around model strengths and inefficiencies in an effort to improve products. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!
Responsibilities
Train state of the art models, developed both internally and from the community, in production to solve problems for our enterprise customers.
Manage a team of 5+ Applied AI Engineers / ML Engineers.
Work with product and research teams to identify opportunities for ongoing and upcoming services.
Explore approaches that integrate human feedback and assisted evaluation into existing product lines.
Create state of the art techniques to integrate tool-calling into production-serving LLMs.
Work closely with customers — some of the most sophisticated ML organizations in the world — to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems.
Ideal qualifications
At least 3 years of model training, deployment and maintenance experience in a production environment.
At least 1-2 years of management or tech leadership experience.
Strong skills in NLP, LLMs and deep learning.
Solid background in algorithms, data structures, and object-oriented programming.
Experience with a cloud technology stack (e.g., AWS or GCP) and developing machine learning models in a cloud environment.
Experience building products with LLMs including evaluation, experimentation, and designing solutions to get the most of the models.
PhD or Masters in Computer Science or a related field.
Nice to have
Experience in dealing with large scale AI problems, ideally in the generative-AI field.
Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc.
Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals.
Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, kubeflow, TensorFlow, etc.
Strong written and verbal communication skills to operate in a cross functional team environment.
Compensation and Benefits Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The base salary range for this full-time position in the San Francisco, New York, and Seattle locations is $212,000–$254,400 USD; actual compensation is determined by location, skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are granted equity-based compensation, subject to Board approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process and confirm whether the role will be eligible for equity grant. Benefits include comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and potentially a commuter stipend.
Please reference the job posting's subtitle for the location of this position.
Note: Our policy requires a 90-day waiting period before reconsidering candidates for the same role to ensure a fair and thorough evaluation of all applicants.
About Scale At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to accelerate the development of AI applications across every industry. Our products power leading LLMs, generative models, and computer vision models, and we are trusted by OpenAI, Meta, and Microsoft, among others. We are committed to an inclusive and equal opportunity workplace and to providing reasonable accommodations to applicants with disabilities. If you need assistance, please contact accommodations@scale.com. We comply with the U.S. Department of Labor's pay transparency and other applicable laws, and we collect and use personal data in accordance with our privacy policy.
We are an equal employment opportunity employer. We prohibit discrimination and harassment of any kind and are committed to ensuring equal opportunity for all employees and applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or veteran status.
For disability accommodations in the application or recruiting process, please contact accommodations@scale.com.
All data collected is handled in accordance with Scale's privacy policy.
#J-18808-Ljbffr
Applied AI Engineering Manager, Enterprise
role at
Scale AI .
AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative AI Platform (SGP).
The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an AAI Engineering Manager, you’ll manage a team of high-calibre Applied AI Engineers + MLEs who work with clients to train ML models to satisfy their business needs. Your team’s work will range from training next-generation AI cybersecurity firewall LLMs to training foundation agentic action models making predictions about business-saving outcomes. You will guide your team towards using data-driven experiments to provide key insights around model strengths and inefficiencies in an effort to improve products. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!
Responsibilities
Train state of the art models, developed both internally and from the community, in production to solve problems for our enterprise customers.
Manage a team of 5+ Applied AI Engineers / ML Engineers.
Work with product and research teams to identify opportunities for ongoing and upcoming services.
Explore approaches that integrate human feedback and assisted evaluation into existing product lines.
Create state of the art techniques to integrate tool-calling into production-serving LLMs.
Work closely with customers — some of the most sophisticated ML organizations in the world — to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems.
Ideal qualifications
At least 3 years of model training, deployment and maintenance experience in a production environment.
At least 1-2 years of management or tech leadership experience.
Strong skills in NLP, LLMs and deep learning.
Solid background in algorithms, data structures, and object-oriented programming.
Experience with a cloud technology stack (e.g., AWS or GCP) and developing machine learning models in a cloud environment.
Experience building products with LLMs including evaluation, experimentation, and designing solutions to get the most of the models.
PhD or Masters in Computer Science or a related field.
Nice to have
Experience in dealing with large scale AI problems, ideally in the generative-AI field.
Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc.
Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals.
Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, kubeflow, TensorFlow, etc.
Strong written and verbal communication skills to operate in a cross functional team environment.
Compensation and Benefits Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The base salary range for this full-time position in the San Francisco, New York, and Seattle locations is $212,000–$254,400 USD; actual compensation is determined by location, skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are granted equity-based compensation, subject to Board approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process and confirm whether the role will be eligible for equity grant. Benefits include comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and potentially a commuter stipend.
Please reference the job posting's subtitle for the location of this position.
Note: Our policy requires a 90-day waiting period before reconsidering candidates for the same role to ensure a fair and thorough evaluation of all applicants.
About Scale At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to accelerate the development of AI applications across every industry. Our products power leading LLMs, generative models, and computer vision models, and we are trusted by OpenAI, Meta, and Microsoft, among others. We are committed to an inclusive and equal opportunity workplace and to providing reasonable accommodations to applicants with disabilities. If you need assistance, please contact accommodations@scale.com. We comply with the U.S. Department of Labor's pay transparency and other applicable laws, and we collect and use personal data in accordance with our privacy policy.
We are an equal employment opportunity employer. We prohibit discrimination and harassment of any kind and are committed to ensuring equal opportunity for all employees and applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or veteran status.
For disability accommodations in the application or recruiting process, please contact accommodations@scale.com.
All data collected is handled in accordance with Scale's privacy policy.
#J-18808-Ljbffr