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Senior Machine Learning Engineer

Senior Machine Learning Engineer

ScribeSan Francisco, CA, United States
30+ days ago
Job type
  • Full-time
Job description

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 ensure work gets done right. Our Workflow AI platform automatically documents and optimizes workflows so teams work smarter, faster, and more consistently.

    We're growing fast - since our founding in 2019, we've grown to over 5 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
  • Equity in a hypergrowth startup
  • Flexible PTO
  • 401k
  • Parental Leave
  • Commuter Benefits (SF office employees)
  • WFH Stipend
  • Compensation

    $170,000 - $220,000 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.

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    Senior Machine Learning Engineer • San Francisco, CA, United States

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