Machine Learning Engineer

Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. As a Machine Learning Engineer, you’ll be a key contributor to models and systems that power talent discovery and evaluation, impacting how companies find talent and how people land their next opportunity.

Responsibilities:

• Researching, training, and deploying ML models in production (e.g., fraud/cheating detection, candidate engagement and conversion prediction, search/recommendation)
• Building backend infrastructure and APIs to serve ML models at scale
• Collaborating with product engineers, sourcing/operations, and other teams to align models with business impact
• Running experiments, analyzing results, and iterating quickly to improve model and product performance
• Wearing multiple hats, sometimes data scientist, sometimes backend engineer, always problem solver

Requirements:

• Strong background in backend engineering (Python/Django or similar)
• Solid foundation in machine learning and statistics; experience applying ML in production
• Comfort with ambiguity and a willingness to work across domains
• Above all: a strong generalist engineer with the curiosity and rigor to tackle diverse problems
• Familiarity with LLMs, search/recommendation systems, or classification models is a bonus