Founding Machine Learning Engineer

Machine Learning, Needs Assessment, Team Lead/Manager, Startup, Artificial Intelligence (AI) Agents, Structured Data, Artificial Intelligence (AI), Application Programming Interface (API), Machine Learning, Power Generation, * 3+ years of experience building and shipping production ML systems, particularly in NLP, information retrieval, or entity resolution

• Strong hands-on experience with Python and PyTorch
• Deep understanding of transformer architectures, including training and fine-tuning encoder models
• Experience building retrieval systems, classifiers, or embedding-based systems
• Familiarity with representation learning techniques (e.g., contrastive learning, metric learning)
• Experience applying LLMs to structured data problems (e.g., extraction, classification, generation)
• Strong problem-solving skills with the ability to work on ambiguous, large-scale data challenges
• High ownership mindset with a strong bias toward execution in fast-paced environments

Preferred

• Experience with entity resolution or record linkage at scale
• Background in multilingual or cross-lingual NLP
• Experience building taxonomies, ontologies, or knowledge systems
• Familiarity with distributed training on GPU clusters
• Experience scaling LLM inference pipelines in production
• Research publications or open-source contributions in NLP/IR

• Base salary: $150K - $300K
• Equity: 0.10% - 0.50% (founding-level ownership)
• Visa sponsorship available
• Opportunity to join at an early stage with strong product-market fit and rapid growth
• High ownership role with direct impact on core product and company trajectory
• Work alongside experienced founders and top-tier investors

This role is ideal for ML engineers who want to operate at the frontier of applied NLP and retrieval-owning core intelligence systems that power how AI agents interact with real-world data at scale. Salary Range: $150,000-$300,000 base. https://www.recruitingfromscratch.com

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, This fast-growing, venture-backed startup is building the core infrastructure layer that enables AI agents to access, understand, and act on real-time internet data. Instead of traditional search workflows designed for humans, the platform provides APIs that allow AI systems to retrieve high-fidelity, structured data directly from source systems.

The company has achieved strong early traction-scaling to millions in ARR within its first year-and is already serving enterprise customers. Backed by leading investors including Y Combinator and top-tier venture firms, the team is now focused on pushing the boundaries of applied machine learning to power the next generation of AI-native data systems. What You Will Do

• Own the end-to-end development of core ML systems-from research and modeling to production deployment
• Design and train models for information retrieval, entity resolution, classification, and structured data extraction
• Build systems that transform messy, multilingual web-scale data into structured, queryable intelligence
• Develop embedding models, ranking systems, and retrieval pipelines for high-precision search and matching
• Apply transformer architectures and modern NLP techniques to real-world data problems
• Leverage LLMs for tasks such as extraction, classification, and data enrichment at scale
• Continuously evaluate and improve model performance using rigorous experimentation and metrics
• Work closely with engineering and product teams to integrate ML systems into production APIs