Recruiting from Scratch
Machine Learning Engineer
Recruiting from Scratch, San Francisco, California, United States, 94199
Who is Recruiting from Scratch:
Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs, then connect them with top-tier candidates who are not only highly skilled but also the right fit for the company's culture and vision. Our mission is simple: place the best people in the right roles to drive long-term success for both clients and candidates.
https://www.recruitingfromscratch.com/
Title of Role:
Machine Learning Engineer Location:
San Francisco, CA Company Stage of Funding:
Series A (venture-backed) Office Type:
Onsite, 5 Days a Week Salary:
$150K - $240K + Equity Company Description
Our client is a fast-growing AI startup backed by top-tier investors, building state-of-the-art solutions for unstructured data processing. Their technology transforms complex documents-such as PDFs, spreadsheets, and financial reports-into large language model (LLM)-ready data with unparalleled accuracy. Hundreds of companies, from high-growth startups to Fortune 10 enterprises, already rely on their platform to process tens of millions of documents each month. As part of the founding engineering team, you'll help shape the core infrastructure powering next-generation enterprise AI. What You Will Do Design, train, and deploy advanced machine learning models to parse and interpret unstructured data. Experiment with novel techniques to push the boundaries of document AI and LLM accuracy. Build and optimize data pipelines, evaluate model performance, and integrate results into production systems. Work directly with founders and customers to shape product direction and engineering strategy. Develop internal tools (e.g., quick apps or datasets) to test hypotheses and accelerate experimentation. Ideal Candidate Background 2-5 years of professional experience in training, fine-tuning, and evaluating machine learning models in production. Strong coding ability in Python (or similar), with hands-on experience building and deploying ML pipelines. Familiarity with computer vision, vision-language models (VLMs), and modern large language models. Demonstrated success in bridging ML research with production-grade engineering. Comfortable with end-to-end development: ideation, prototyping, iteration, and deployment. Strong quantitative mindset with a passion for accuracy and continuous improvement. Preferred Experience building products in early-stage startups or fast-paced environments. Contributions to open-source ML projects or active participation in hackathons. Previous work in high-stakes domains (e.g., finance, healthcare, government). Degree in Computer Science, Mathematics, or a related technical discipline from a top-tier institution. Passion for staying current with the latest ML/AI research developments. Compensation, Benefits, and Other Details Base Salary:
$150K - $240K Equity:
0.10% - 1.00% ownership potential Additional:
Visa sponsorship available Opportunity to work as part of the
founding engineering team , directly shaping the core platform and product roadmap. High-impact role with exposure to customers ranging from hyper-growth startups to Fortune 10 enterprises. Join a mission-driven team riding the wave of a
$1T+ AI market opportunity , solving one of the hardest problems in enterprise data processing.
Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs, then connect them with top-tier candidates who are not only highly skilled but also the right fit for the company's culture and vision. Our mission is simple: place the best people in the right roles to drive long-term success for both clients and candidates.
https://www.recruitingfromscratch.com/
Title of Role:
Machine Learning Engineer Location:
San Francisco, CA Company Stage of Funding:
Series A (venture-backed) Office Type:
Onsite, 5 Days a Week Salary:
$150K - $240K + Equity Company Description
Our client is a fast-growing AI startup backed by top-tier investors, building state-of-the-art solutions for unstructured data processing. Their technology transforms complex documents-such as PDFs, spreadsheets, and financial reports-into large language model (LLM)-ready data with unparalleled accuracy. Hundreds of companies, from high-growth startups to Fortune 10 enterprises, already rely on their platform to process tens of millions of documents each month. As part of the founding engineering team, you'll help shape the core infrastructure powering next-generation enterprise AI. What You Will Do Design, train, and deploy advanced machine learning models to parse and interpret unstructured data. Experiment with novel techniques to push the boundaries of document AI and LLM accuracy. Build and optimize data pipelines, evaluate model performance, and integrate results into production systems. Work directly with founders and customers to shape product direction and engineering strategy. Develop internal tools (e.g., quick apps or datasets) to test hypotheses and accelerate experimentation. Ideal Candidate Background 2-5 years of professional experience in training, fine-tuning, and evaluating machine learning models in production. Strong coding ability in Python (or similar), with hands-on experience building and deploying ML pipelines. Familiarity with computer vision, vision-language models (VLMs), and modern large language models. Demonstrated success in bridging ML research with production-grade engineering. Comfortable with end-to-end development: ideation, prototyping, iteration, and deployment. Strong quantitative mindset with a passion for accuracy and continuous improvement. Preferred Experience building products in early-stage startups or fast-paced environments. Contributions to open-source ML projects or active participation in hackathons. Previous work in high-stakes domains (e.g., finance, healthcare, government). Degree in Computer Science, Mathematics, or a related technical discipline from a top-tier institution. Passion for staying current with the latest ML/AI research developments. Compensation, Benefits, and Other Details Base Salary:
$150K - $240K Equity:
0.10% - 1.00% ownership potential Additional:
Visa sponsorship available Opportunity to work as part of the
founding engineering team , directly shaping the core platform and product roadmap. High-impact role with exposure to customers ranging from hyper-growth startups to Fortune 10 enterprises. Join a mission-driven team riding the wave of a
$1T+ AI market opportunity , solving one of the hardest problems in enterprise data processing.