Chief of Staff, Machine Learning

1 Day ago • All levels • $204,000 PA - $255,000 PA

Job Summary

Job Description

As the Chief of Staff for Machine Learning, you will partner closely with leaders in the ML organization to define business priorities and drive key initiatives. You will develop research roadmaps, lead ML strategy, drive planning processes, and help create alignment across teams. You will be responsible for weekly, monthly, quarterly, and annual planning processes, as well as facilitating discussions and documenting action items. You will also proactively identify risks and opportunities to shape products and improve internal operations. The ideal candidate is highly organized, analytical, and possesses strong communication skills. The role requires a focus on customer relationships, outcomes, and an empathetic interpersonal style.
Must have:
  • Exceptional executive communication skills
  • Demonstrated technical aptitude
  • Highly organized with a planning-focused mindset
  • Strong orientation towards outcomes and data-driven decision making
  • Proven track record of building relationships and influencing
Good to have:
  • Degree or experience in computer science or STEM fields
  • Hands-on experience with building software or machine learning systems
  • Enterprise and/or AI product management experience
Perks:
  • Comprehensive health, dental and vision coverage
  • Retirement benefits
  • Learning and development stipend
  • Generous PTO
  • Commuter stipend (may be eligible)

Job Details

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the progress of generative AI, with a focus around frontier evaluations, the science of data around posttraining, agentic applications, trustworthy agents oversight frameworks and beyond. 

In this high impact role, you will partner closely with our leaders in the ML organization, develop research roadmaps, drive planning processes, and lead ML strategy. The ideal candidate is a highly motivated individual who is able to combine meticulous planning & organization, analytical rigor, an obsessive focus on customer relationships and outcomes, and an empathetic interpersonal style. You have a demonstrated ability to lead AI projects and initiatives, establish credibility with internal and customer C-Suite stakeholders, and are comfortable rolling up your sleeves to tackle a variety of challenges. If you want to work on the most ambitious Generative AI innovation in the world and have some fun while doing it, we'd love to hear from you!

You will:

  • Partner with the Head of ML and other senior leaders to define business priorities, drive execution of key initiatives, and create alignment between and within teams.
  • Help develop overall business unit strategy, business development priorities, and internal operating models.
  • Drive weekly, monthly, quarterly, annual planning processes for the ML business unit.
  • Perform analyses and provide recommendations to facilitate effective business unit decision making.
  • Own key operational rhythms / processes (weekly leadership meetings, All Hands, OKR reviews, team offsites), including preparing the agenda, facilitating the discussions, documenting notes / action items, and closing out follow ups.
  • Act as a thought partner to ML business unit leadership, proactively identifying risks and opportunities to shape our products and improve internal operations.

Ideally you'd have:

  • Exceptional executive communication skills with the ability to distill complex ideas into clear, concise insights—and deliver them through engaging presentations and slide decks.
  • Demonstrated technical aptitude; comfortable reviewing technical research (e.g., Scale AI Research) and grasping high-level concepts quickly.
  • Highly organized with a planning-focused mindset. Strong prioritization and multitasking capabilities in fast-paced, dynamic environments.
  • A strong orientation towards outcomes and data-driven decision making, and a willingness to roll up your sleeves to get the job done.
  • Proven track record of building relationships and influencing across teams without direct authority.

Nice to haves:

  • Degree or professional experience in computer science or other STEM fields, or hands-on experience with building software or machine learning systems.
  • Enterprise and/or AI product management experience.

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.

The base salary range for this full-time position in the location of San Francisco is:

$204,000 - $255,000 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 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.

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