tl;dr - We're looking for a highly motivated and skilled Staff Machine Learning Engineer to build the future of AI productivity software. You will lead high-impact research and development, drive our core AI technical strategy, pioneer the deployment of robust and scalable state-of-the-art models — see our work on ScribeAgenthere —to millions of users, and mentor our growing team of elite engineers.

About this role

In this pivotal role, you will be a technical cornerstone for our growing team of elite engineers (currently 5, trained at the world's best ML programs), shaping our AI/ML technical direction and long-term vision. The hiring manager is Mouad Hadji, and you will be responsible for:

Acting as the technical leader by driving the design of our ML technical roadmap and aligning it closely with strategic business objectives
Architecting and deploying reliable, scalable AI infrastructure in collaboration with Engineering and DevOps teams to support millions of users
Defining ML engineering best practices across the organization, including model development, evaluation, deployment, and monitoring standards
Mentoring and growing the ML team, providing technical guidance and helping engineers level up their skills
Leading cross-functional initiatives with product, engineering, and leadership teams to ensure ML work directly enhances user experiences
Spearheading the end-to-end development of our most complex and impactful AI systems, from research to production
Representing Scribe's technical brand through conference talks, blog posts, and open-source contributions

About you

You’d be a great fit for this role if you:

Have 5+ years of industry experience working deep in the weeds on hard ML problems, with at least 2+ years in a technical leadership role
Have hands-on experience architecting and deploying LLMs in production at scale, with deep understanding of infrastructure challenges
Demonstrate a track record of shipping impactful ML products that drive significant business value
Demonstrate technical leadership experience, including defining technical roadmaps, leading cross-team initiatives, and mentoring engineers
Have proven expertise in building ML platforms and infrastructure that enable rapid experimentation and reliable production deployment
Excel at technical communication, able to explain complex ML concepts to both technical and non-technical stakeholders
Have deep expertise with the full ML stack from distributed training (e.g., PyTorch, JAX, Accelerate, FSDP) to production serving and monitoring
Bring strong intuitions about ML systems design, including trade-offs between model complexity, latency, cost, and performance
Have experience with advanced techniques including multi-modal models, alignment (RLHF, constitutional AI), and efficient inference
Think strategically about AI's role in product development and can translate business needs into technical solutions

About Scribe

Scribe is where exceptional people come to do the best work of their careers. More than 94% of the Fortune 500 use Scribe to document and scale how work gets done. We’re growing fast — since our founding in 2019, we’ve grown to over 4 million users across 600,000 businesses. Based in San Francisco, we've raised $55M in funding from top-tier investors and are honored to have been named as a Forbes Next Billion Dollar Startup and LinkedIn Top Startup. Join us in our mission to uplevel how people do work.

How we work

We are builders aspiring to master our crafts. We care deeply about our teammates and want to win, together. We embrace the following values:

Accelerate impact
Raise the bar
Make our users heroes
Clear is kind
Rapid learning machine
One team, one dream

Full-Time US Employee Benefits Include

Some of the nicest and smartest teammates you’ll ever work with
Competitive salaries
Comprehensive healthcare benefits
Exciting and motivating equity
Flexible PTO
401k
Parental Leave
Commuter Benefits (SF office employees)
WFH Stipend

Compensation

$200,000 - $250,000 base + Equity + Benefits. We consider several factors when determining compensation, including location, experience, and other job-related factors.

Location

Hybrid position (need to commute to downtown San Francisco 3+ days a week) unless this is someone with more experience (5+ years) or immensely talented.

At Scribe, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not only our employees but our product, customers, and community as well. Scribe is proud to be an Equal Opportunity and Affirmative Action Employer.