Senior Machine Learning Engineer, Multimodality & Data @ Scribe | Jobright.ai
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Senior Machine Learning Engineer, Multimodality & Data jobs in San Francisco, CA
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Scribe · 2 days ago

Senior Machine Learning Engineer, Multimodality & Data

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Responsibilities

Explore cutting-edge techniques in the artificial intelligence field and translate these innovations into valuable features for our millions of users.
Develop our multimodal capabilities (incl. vision, audio) end-to-end.
Drive the design of a multimodal offline data pipeline for model training/benchmarking to push forward model performance.
Design experiments and rapidly iterate to increase the performance of our multimodal LLMs, focusing on exploring and utilizing diverse data modalities.
Spearhead our data collection, filtering, curation and synthesis efforts to improve model training and evaluation.
Collaborate with our very talented engineering and product management team.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningPythonComputer VisionMultimodal LearningLarge Language ModelsData Pipeline DesignSystems EngineeringOpen-source Contributions

Required

You have a relevant degree from a top ML program — preferably 2+ 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 strong expertise in computer vision and/or multimodal representation learning.
You have experience exploring multimodal large language models that integrate various types of data such as text, image, video, and audio.
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.

Preferred

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

Comprehensive healthcare benefits
Exciting and motivating equity
Flexible PTO
401k
Parental Leave
Commuter Benefits (SF office employees)
WFH Stipend

Company

Scribe lets users share how work is done, enabling anyone to automatically create step-by-step guides for any process.

Funding

Current Stage
Growth Stage
Total Funding
$55M
Key Investors
RedpointTiger Global ManagementAmplify Partners
2024-02-15Series B· $25M
2021-10-18Series A· $22M
2021-01-01Seed· $8M

Leadership Team

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Aaron Podolny
CTO
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