About the job
Join our innovative team and play a pivotal role in shaping the future of AI by crafting compelling narratives in the realm of document understanding.
About the Role
We are on the lookout for a technically proficient Machine Learning Engineer who excels at producing authentic and engaging technical content efficiently. Your extensive knowledge in document AI, coupled with strong writing skills, will be essential in creating benchmarks, publishing technical analyses, and solidifying our position as the foremost authority in document understanding.
This role transcends traditional Developer Relations or Marketing. You will engage in coding, develop tangible benchmarks, conduct experiments, and swiftly translate your findings into high-quality published content, significantly accelerating awareness and adoption among developers creating the next generation of document-centric applications.
Responsibilities
Design, construct, and sustain extensive benchmarks for document parsing and understanding.
Regularly publish high-quality technical content, including blog posts, benchmark reports, technical comparisons, and tutorials.
Maintain an up-to-date understanding of the document AI landscape, including new models, research papers, competitors, and techniques.
Execute experiments and translate findings into publishable content rapidly.
Generate technical analyses showcasing our capabilities relative to alternatives.
Contribute to open-source projects, examples, notebooks, and documentation.
Collaborate closely with the core ML team to highlight significant improvements and capabilities.
Engage genuinely with the developer community through technical content rather than conferences or events.
Required Qualifications
Proven experience in software engineering, with a focus on ML engineering and research being an advantage.
Solid foundation in software engineering principles and production-level experience with Python.
Familiarity with modern ML techniques, particularly in computer vision, natural language processing, or multimodal learning.
Ability to convey complex technical topics clearly, rapidly, and authentically through writing.
A strong inclination towards delivering results quickly, comfortable publishing at a blog pace rather than an academic one.
Adept at reading, comprehending, and synthesizing research papers efficiently.
Proactive and self-motivated, capable of identifying significant topics to write about and executing projects end-to-end.
