Scribe · 3 hours ago
Staff Machine Learning Engineer
San Francisco, CA
Full-time
Hybrid
Senior Level, Lead/Staff
$200K/yr - $250K/yr
5+ years expScribe is a rapidly growing company focused on AI productivity software, seeking a highly motivated Staff Machine Learning Engineer to lead technical strategy and development. In this role, you will drive the design of the ML technical roadmap, mentor a team of engineers, and oversee the deployment of scalable AI infrastructure to enhance user experiences.
Artificial Intelligence (AI)InternetProductivity ToolsSoftware
Responsibilities
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
Qualification
Required
5+ years of industry experience working deep in the weeds on hard ML problems, with at least 2+ years in a technical leadership role
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
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
Deep expertise with the full ML stack from distributed training (e.g., PyTorch, JAX, Accelerate, FSDP) to production serving and monitoring
Strong intuitions about ML systems design, including trade-offs between model complexity, latency, cost, and performance
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
Benefits
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
Company
Scribe
Scribe’s Workflow AI platform helps organizations capture and optimize how work gets done.
51-200 employees
H1B Sponsorship
Scribe has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (2)
Funding
Current Stage
Growth StageTotal Funding
$130MKey Investors
StepStone GroupRedpointTiger Global Management
2025-11-10Series C· $75M
2024-02-15Series B· $25M
2021-10-18Series A· $22M
Leadership Team
Aaron Podolny
Cofounder & CTO
Recent News
Crunchbase News
2025-12-10
Sourcery
2025-11-21
Company data provided by crunchbase