Manager, Prompt Engineering

Scale AI, Inc.
$212,000spanspan class="divider"-spanspan$254,400 USDspandivdivdivdiv class="content-conclusion"pPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role
United States, New York, New York
Nov 15, 2024
At Scale AI, we accelerate AI development by working at the forefront of AI, trust, and safety. We partner with leading businesses like OpenAI, Lyft, Meta, and more to develop LLM applications, improve training datasets, and make models more trustworthy and reliable. Role We are seeking a Prompt Engineering Manager to lead a team of experimental engineers who focus on application and use of AI in novel, creative ways. You will build skunkworks projects using state-of-the-art AI to support operations, research, and model evaluation teams. As prompt engineering evolves, you'll continuously learn and master the latest models, explore AI behaviors, and apply creativity in your work. You'll elevate your team's talent, collaborate across teams, and drive innovation in AI applications. You will: Lead and manage the Prompt Engineering team, fostering innovation and experimentation. Develop LLM applications to solve complex problems and improve data quality. Identify and address vulnerabilities in LLMs to enhance robustness. Document model behaviors, including vulnerability and adversarial testing. Collaborate with cross-functional teams to drive projects from concept to deployment. Mentor team members, enhancing their skills in prompt engineering. Analyze and communicate experimental results to stakeholders. Ideally you'd have: 5+ years of engineering experience. Hands-on experience with state-of-the-art AI models. Proficiency in Python, TypeScript, or JavaScript. Experience building LLM-based applications or leveraging LLMs creatively. Hobby projects are ok, the more creative in their use of AI the better. Leadership skills with some management or mentoring experience. Strong communication and collaboration abilities. A creative mindset with a passion for experimentation. Nice to haves: Experience with AI/LLM development or red teaming. Familiarity with LLM evaluation metrics and statistical analysis. Academic work related to language models or adversarial robustness. Ideally you'd be able to collaborate in person with our teams in SF or NYC at least once a month Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $212,000 — $254,400 USD *PLEASE NOTE:*Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: 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 make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.