Machine Learning Engineer

Company: Recruiting From Scratch

Location: San Francisco, CA

Posted on: November 17

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 companys 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. Theyve 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. Youll work on challenging ML problems with tangible real-world impact backed by enterprise resources but guided by startup speed and ambition.