Machine Learning Engineer
San Francisco, CAFull-timePosted 7mo ago
About the role
In-person ML Engineer role at Reducto in San Francisco focused on training, fine-tuning, and deploying state-of-the-art models for parsing and interpreting unstructured data, with a hands-on product development approach and close collaboration with founders and customers.
Responsibilities
- Training and deploying new state of the art models for parsing and interpreting unstructured data
- Experimenting with novel techniques to improve LLM accuracy
- Build data pipelines, evaluate model performance, and integrate models into the product
- Working directly with the founders and customers to shape the product direction and engineering strategy
Qualifications
- 2+ years of experience with training, fine tuning, and evaluating ML models used in production systems
- Exceptional Python or similar language skills
- Strong knowledge of traditional computer vision and vision-language models (VLMs)
- Ability to build tools and quick experiments (e.g., Streamlit apps)
- Quantitative approach to building products; comfortable with end-to-end development lifecycle
Skills
Required:PythonTraditional computer visionVision-Language Models (VLMs)Data pipelines
Benefits
- Unlimited PTO
- Lunch provided at the office
- Reimbursed transportation
- Health insurance (medical, dental, vision)
- Health and wellness budget up to $150/mo
- Parental leave
Last updated Sep 4, 2026. Interested? Apply on the company site.
About Reducto
The most accurate API to parse documents
Reducto offers robust and reliable document ingestion for any workflow. Our API allows you to convert complex, unstructured documents into structured outputs that are perfect for RAG, process automation, and more.
documentsartificial-intelligencedata-engineeringenterprise-softwaresearch
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