Staff Machine Learning Engineer, Instruction-tuning & Alignment

$190,000 - $250,000/Yr

Scribe - San Francisco, CA

Full-time - Mid Level

Remote - San Francisco, CA

Publishing Industries

About the position

Scribe is a productivity automation company based in San Francisco. We are seeking a highly motivated and skilled Machine Learning / Applied Research Engineer to join our team. You will work on cutting-edge research projects to build the future of agents and rapidly develop, test, and deploy groundbreaking AI-powered software to our millions of users. We are constantly pushing the envelope with cutting-edge results and are now looking for more talent to come join us and delight our millions of users.

Responsibilities

• Explore cutting-edge techniques in the artificial intelligence field and translate these innovations into valuable features for our millions of users.
• Participate in the creation of the most qualitative enterprise software workflow dataset.
• Perform multimodal product research and optimize our data flywheel to improve the performance of our models.
• Fine-tune and train large language models leveraging various modalities.
• Be responsible for the alignment of our state-of-the-art proprietary models so that they can behave as intended for our users.
• Collaborate with product teams to ensure your work translates into better experiences for Scribe users (instruction following, guard-railing, etc.)

Requirements

• You have a relevant degree from a top ML program - minimum 5+ years of industry experience working deep in the weeds on hard ML problems.
• You have strong software engineering skills (including Python, Jupyter, etc.).
• You have experience with instruction-based finetuning and RLHF.
• You have experience deploying LLMs in production.
• You have great intuitions of fundamental ML concepts (e.g., fluent in thinking about overfitting, generalization, back-propagation, etc.).
• You have strong communication skills.
• You have a track record of successfully owning projects from start to finish.

Nice-to-haves

• You have startup experience (not required, but we build and move fast!).
• You have proven contribution to open-source projects or publications in machine learning, statistics, computer science or related technical fields.
• You have a deep understanding of systems engineering to build scalable 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