tl;dr - We're looking for a highly motivated and skilled Senior Machine Learning Engineer to build the future of AI productivity software. You will work on cutting-edge research, deploy state-of-the-art proprietary models — see our work on ScribeAgenthere —to millions of users, and be at the forefront of the AI field.
About this role
In this role, you will be part of our growing team of 5 elite engineers trained at the world's best ML/AI programs. The hiring manager is Mouad Hadji, and you will be responsible for:
Driving the AI vision for the company, continuously refining it based on user needs, market dynamics, and cutting-edge research.
Exploring and applying cutting-edge AI techniques to translate innovations into valuable features for our millions of users
Spearheading the end-to-end development of our state-of-the-art proprietary models, ensuring they deliver exceptional user experiences
Designing experiments and rapidly iterating to increase the performance of our models with regard to evaluation metrics
Collaborating cross-functionally with our very talented engineering and product management teams to deliver scalable solutions
Check out this post from our amazing ML Engineer, Atishay Jain, about what it's like to build at Scribe.
About you
You’d be a great fit for this role if you:
Have 2+ years of hands-on experience training large language models leveraging multiple modalities, including text and images
Prioritize user impact over technical complexity for its own sake, thoughtfully choosing the right tools and approaches
Demonstrate strong intuitions of fundamental ML concepts (e.g., fluency in overfitting, generalization, back-propagation, etc.)
Have strong software engineering skills (Python, Jupyter, etc.) and experience with distributed training frameworks (e.g., PyTorch, JAX, Accelerate, FSDP)
Have experience with alignment techniques (instruction-based finetuning, RLHF, etc.)
Excel at ideation, love to rapidly test emerging techniques, and turn your innovative ideas into practical applications
Exhibit an owner mentality and enjoy independently identifying challenges, proposing thoughtful solutions, and fully owning outcomes
Have a track record of successfully owning projects from start to finish
Collaborate exceptionally well, recognizing that teamwork amplifies impact, and you enjoy inspiring and elevating your team
Are passionate about the future of AI agents, and eager to shape it
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 workWe 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
Equity in a hypergrowth startup
Flexible PTO
401k
Parental Leave
Commuter Benefits (SF office employees)
WFH Stipend
$170,000 - $220,000 base + Equity + Benefits. We consider several factors when determining compensation, including location, experience, and other job-related factors.
LocationHybrid 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.
Skills Required
- 2+ years of hands-on experience training large language models
- Strong software engineering skills
- Experience with distributed training frameworks
- Experience with alignment techniques
- Ability to ideate and test emerging techniques
- Track record of successfully owning projects from start to finish
Scribe Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Scribe and has not been reviewed or approved by Scribe.
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Fair & Transparent Compensation — Pay is considered competitive for engineering and sales roles, with structures aligned to market norms. Public postings outline compensation ranges that reinforce perceived fairness for the company’s stage.
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Healthcare Strength — Health, dental, and vision coverage are prominently included across current postings and materials. These core plans form a comprehensive baseline for U.S. roles.
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Leave & Time Off Breadth — Flexible or unlimited PTO, paid holidays, and paid parental leave are consistently referenced in role postings. This breadth supports time away for rest and family needs.
Scribe Insights
What We Do
We are a fast-growing Series B Workflow AI startup headquartered in San Francisco. Scribe is loved by 4 million users across 600,000 companies, including 94% of the Fortune 500. Teams at New York Life, HubSpot, and Northern Trust use Scribe to work smarter, faster, and deliver exceptional results. Scribe has been named as a Forbes Next Billion-Dollar Startup and LinkedIn Top Startup and has raised $55M in funding from leading investors (Redpoint, Tiger Global, Amplify, and others). We’re on a mission to uplevel how people do work. We believe that behind every company are the exceptional people who make it thrive. We live to see our customers’ faces light up when they realize the magic of Scribe. We raise the bar. We're rapid learning machines. We're all here to do the best work of our careers. And we win, together. If this sounds like you, we’d love to hear from you!
