Member of Technical Staff - Product Machine Learning

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/

Role Title: Member of Technical Staff - Product Machine Learning

Location: San Francisco, CA (Onsite, 5 days/week - Union Square)

Company Stage of Funding: Acquired by a Public Company (Post-Series Startup Environment)

Office Type: Onsite, 5 days/week

Salary: $200K-$325K base bonus equity

Company Description

Our client is a fast-growing AI startup recently acquired by a leading global technology company. They’ve retained their startup agility and innovative culture while gaining the resources and stability of an established enterprise. The team is building next-generation machine learning systems that transform how financial professionals process and analyze complex data.

Their core platform leverages cutting-edge AI to automate and structure large volumes of unstructured financial documents—delivering accuracy, scalability, and time savings for clients across accounting, asset management, and financial services.

What You Will Do

• Build and enhance ML and product infrastructure that powers AI-driven document processing systems.
• Design and iterate on datasets, inference systems, and evaluation pipelines to continuously improve performance and accuracy.
• Work directly with end users (financial professionals, accountants) to understand workflows and integrate feedback into the product roadmap.
• Collaborate cross-functionally with engineers, designers, and product leads to ship high-quality ML-powered features at scale.
• Develop expert systems that encode domain knowledge into scalable software systems.
• Contribute to an engineering culture that values rapid iteration, product impact, and measurable results.
  
  

Ideal Candidate Background

• 5 years of experience building and deploying ML systems in production environments.
• Proven experience integrating ML models into end-user products (enterprise or consumer).
• Strong foundation in Python and modern ML tooling (e.g., PyTorch, TensorFlow, or JAX).
• Experience working with large datasets, data quality optimization, and evaluation metrics.
• Excellent communication skills and comfort working directly with customers or stakeholders.
• Demonstrated history of ownership and impact in a fast-paced startup or product-focused environment.
  
  

Preferred Qualifications

• Experience with LLMs, LLM APIs, or large-scale inference pipelines.
• Familiarity with financial data or document-heavy domains.
• Previous experience at high-velocity AI or data infrastructure companies.
• Track record of technical leadership or mentorship within a small, high-performing team.
  
  

Compensation, Benefits, and Other Details

• Base Salary: $200K-$325K
• Equity & Bonus: Competitive package including stock options and performance bonuses
• Benefits: Comprehensive health, dental, and vision coverage; 401(k); and generous PTO
• Work Environment: Onsite in Union Square, San Francisco — collaborative and hands-on
• Visa Support: Sponsorship available for qualified candidates
• Team Culture: Small, tight-knit, and product-driven team focused on high ownership and rapid iteration
  
  

Why This Role is Exciting:

This is an opportunity to join a technically elite team at the intersection of AI, data infrastructure, and financial automation. You’ll work on challenging ML problems with tangible real-world impact—backed by enterprise resources but guided by startup speed and ambition.